I need this job focused on civil engineering, there is the example to follow, I need a plagiarism report too
For this assignment–– IDL 1 Final ––you will develop a handout for first-year students in your field. The purpose of this handout is to persuade them that the competencies they will gain from the required probability and statistics course are essential to their professional future. It will include two sections. In the first section, you will describe and define aspects of the work in your field for which probability and statistics are required. Then you will discuss how probability and statistics tools enable each aspect of the work. In the second section you will develop a written argument discussing data presented in a table to suggest to them this proficiency will help them (and you) get a job upon graduation.
Sheila Gobes-Ryan 1
Probability and Statistics are the Foundation
for Building Your Architectural Career
Introduction
As future architects, we all dream of creating iconic buildings that result in professional recognition
and financial success. Increases in ‘big data’ and the technologies to analyze these data sets more
effectively make it possible to improve the quality of our designs in significant ways during the
design process. However, to integrate these big-data benefits into our design solutions, we need to
become proficient in probability and statistics while in school.
To illustrate this to you, I will describe how probability and statistics are used in architectural
design and show that this skill will help start your career when you graduate. First, I will discuss the
uses of probability and statistics for improving the outcomes of several phases of architectural
projects. Then I will talk to you about the importance of having the skill to complete data analysis
when starting your career.
The Use of Probability and Statistics in Architecture
Design Phase Use of Probability and Statistics
Architects use probability and statistics during different phases of projects to improve and evaluate
the effectiveness of their built projects. In the following sections, I will present the use of
probability and statistics in four project phases:
1. Architects use probability and statistics during site selection to analyze relevant data.
2. In pre-design, they analyze client needs and evaluate their client’s industry space use trends.
3. During design, they assess the layout and material options against existing performance data.
4. In post-occupancy, they evaluate the performance of the space against project goals,
comparable properties, and performance standards and requirements.
By integrating data-driven decisions into the design process, architects can be confident that they
will achieve the high client satisfaction needed for financial success.
Probability and Statistics in Site Selection
An organization’s selection of location impacts many aspects of business success. The decision
may be which city to locate in, what city section to move to, or what specific property to occupy.
However, for each decision, organizations must consider a wide range of business impacts that
location choices can have and if these will be positive or negative for their business. With statistical
and probabilistic analysis, architects can present the business impacts of many factors based on
current data and predicting how many factors are likely to develop in the future. These factors
include access to employees with the necessary skills, proximity to clients or customers, local cost
of living and expected wages, and commute time and transportation access for employees.
Sheila Gobes-Ryan 2
Architects can use these analyses to combine client data, publicly available data, and mobile device
data to make data-driven site selection decisions (Intalytic, 2021). With this, architects provide
their clients with better business outcomes.
Probability and Statistics in Pre-Design
Architects collect and evaluate data statistically during the pre-design stage to determine building
space needs (Vangelatos, 2018) currently and into the future. Input from client interviews and
surveys, company growth projections, and industry benchmarks are all integrated into space needs
and acquisition decisions. Client organizations will rely on the dependability of this work as they
sign leases that extend for years or sometimes decades.
Probability and Statistics in the Design Phase
During the design phase, architects make decisions on materials and building systems so that
projects meet current regulations for things such as energy and water use (Yaglewad, 2020).
Additionally, we are often required to go beyond this to meet standards like the LEEDS
Sustainable Buildings Certification and Zero Net Energy (Carbonnier, 2020). Our ability to run
virtual simulations that statistically evaluate and present a wide range of design, material, and
construction options is critical to our success in this phase. These simulations integrate physics and
statistics to provide sophisticated examinations of building performance of various design choices.
Findings from these simulations allow architects to make changes to improve building performance
before anything is built (Goy, Maréchal, and Finn, 2020).
Post Occupancy Evaluations with Probability and Statistics
After clients move into buildings, sensors connected to the internet can measure and evaluate
actual building performance (Davis, 2015). Owners can assess building performance against
building code requirements and targeted certification programs, such as LEED (Davis, 2015).
With the decrease in the cost of monitoring systems, building owners and occupants are using
these systems to collect and evaluate data on building use and building systems performance in
increasingly complex ways. Vendors of building systems components are creating sophisticated
data visualizations to present this data in easy-to-understand formats.
Clients are using these analyses to move toward performance-based contracts with architects.
These contracts hold back part of the design fees until clients evaluate the buildings resulting from
an architect’s design against required performance standards (Davis, 2015). To get the
compensation they are due, architects’ pre-design systems of evaluation must match the post-
occupancy performance of the resulting buildings. As a result, architects now have a significant
financial stake in the accuracy of the probability and statistical analyses they complete.
Sheila Gobes-Ryan 3
Probability and Statistics Literacy will Enhance Your Employability
You may be thinking that this is a skill set you can skip and allow others to bring to architectural
firms. However, recent data from the National Architectural Education Association (NAEA)
(2020) suggests you should think again about this.
Surveys completed across 2,456 participating architectural practices show that 93% of these firms
of all sizes use statistical data in multiple phases of their design work. For this reason, 85% of these
firms identified data literacy as a skill they consider significant for new employees. This skill
ranked higher in importance than traditional skills such as CAD proficiency. In follow-up
interviews with 200 firm leaders, 87% identified recent graduates’ data literacy as inadequate for the
work demands of entry-level positions. This deficiency did not align with the finding that 70% of
architecture school faculty believed they were preparing their students for the data literacy
demands of the profession. Most challenging was that only 17% of architecture students identified
data literacy as a necessary professional skill (NAEA, 2020).
This data suggest that architecture programs are not preparing students for the data literacy
demands of their profession. Conversely, this preparation deficit provides a distinct advantage for
architecture students who become data literate and familiar with the uses of data analysis in their
professional lives.
Conclusion
This document discusses the many phases of architectural design work in which probability and
statistics play a role. They are first used to evaluate different options for siting a project. Then to
document building needs into the future. During the following phase of work, architects run many
design choices through simulations that evaluate and present various design choices in building
performance. Finally, owners use probability and statistics to collect data and analyze building
performance outcomes. Clients are frequently connecting these outcomes to completing payment
of architectural contracts. For this reason, as with many fields, using and evaluating data in a wide
range of probability and statistics applications is a skill that employers have indicated is critical.
When we prepare to graduate, we now know this is a skill we must have to start on a path of
financial and professional success
References
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. Retrieved
from https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-new-
normal-2020-04-03/
Chilton, J. J. & Baldry, D. (1997). The effects of integrated workplace strategies on commercial
office space. Facilities, 15(7/8), 187-194. doi: 10.1108/02632779710168227
Davis, D. (2015, April 23). How big data is transforming architecture.: The phenomenon presents
hug opportunities for the built environment and the firms that design it. Architect.
Sheila Gobes-Ryan 4
Retrieved from https://www.architectmagazine.com/technology/how-big-data-is-
transforming-architecture_o
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modelling:
Assessing impacts and overcoming availability challenges. Energies 13. doi:
10.3390/en13164244
Intalytics, (2021). Precise recommendations back by sound science. Kalibrate Company.
https://intalytics.com/real-estate-solutions/
Vangelatos, G. (2018, October 12). How architects help increase patient satisfaction in healthcare
through building design.
Yaglewad, S. (2020, May 19). How is statistics used in architecture? What After College. Retrieved
from https://whataftercollege.com/data-science/statistics-used-in-
architecture/#:~:text=How%20is%20Statistics%20used%20in%20Architecture%3F&text=W
hen%20an%20architectural%20project%20is,use%20for%20the%20end%2Dusers.
https://www.architectmagazine.com/technology/how-big-data-is-transforming-architecture_o
https://www.architectmagazine.com/technology/how-big-data-is-transforming-architecture_o
- You may be thinking that this is a skill set you can skip and allow others to bring to architectural firms. However, recent data from the National Architectural Education Association (NAEA) (2020) suggests you should think again about this.
- Surveys completed across 2,456 participating architectural practices show that 93% of these firms of all sizes use statistical data in multiple phases of their design work. For this reason, 85% of these firms identified data literacy as a skill they c…
- This data suggest that architecture programs are not preparing students for the data literacy demands of their profession. Conversely, this preparation deficit provides a distinct advantage for architecture students who become data literate and famili…
Your Title Here
Introduction
Text of your Introduction here.
The Use of Probability and Statistics in [Your Field/Department]
Text of this section
Subtitles if Used
Text of this section
Probability and Statistics Literacy will Enhance Your Employability
Text of this section
Conclusion
Text of your Introduction here.
References
1
image1
Name:
Element 1: Use of Statistics in [Your field]
Source 1:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 2:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 3:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 4:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Element 2: Probability and Statistics Literacy will Enhance Your Employability
Source 1
In-text citation
Reference Listing for this source
What data from each document you will use to support your argument? You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument
How you will use the numerical data to support your argument.
Source 2
In-text citation
Reference Listing for this source
What data from each document you will use to support your argument? You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument
How you will use the numerical data to support your argument.
Element 3: Reference List (remember to alphabetize the reference list by the first name or word in the reference item.)
Element 4: Engaging your Audience
Something Aspirational to start your document
Thesis Statement
For final
Your document purpose is to persuade first year students in your field of the importance of probability and statistics to your field (department or program).
The tone of this document is to be professional, but accessible. Important considerations for a well written document include:
· Flow at the document, paragraph and sentence level.
· Using topic sentences in each section.
· Using section headers and sub-headers, as identified below and shown in the example document.
You may refer to the
professional and general writing
resources page for tools to help with your writing. You may also work with the
Writing Studio Links to an external site.
at the USF Library; this requires planning, as it is best to have an appointment to be assured of having someone to work with.
You will include the following sections:
·
A Document Title. Document titles must briefly and precisely indicate the topic of the document. Ideally, it is also something that will catch the readers’ attention.
·
Introduction. The
introduction Links to an external site.
must accomplish the following:
· Introduces the audience to the topic and its importance. Given the audience you are writing to, first-person is appropriate, as it is your experience as a more advanced student that makes you credible.
Consider as you finalize your introduction, that the USF students you are writing to are diverse in many ways, including in age, life/professional experience, and cultural background. You must speak to all of them, not just to the ones that are like you.
· Includes a
thesis statement
Links to an external site.
that makes the primary claim you will argue in this handout and what you will say about it.
· States how you will use the document to support your argument.
· Present this in a concise, clear paragraph that makes the reader want to read your handout.
After you complete the body of your document, review your introduction to make sure it accurately states what you accomplished with the document. Revise the document as needed to make sure the introduction and the document body work together.
·
The Use of Statistics in [Your Field]. Using the information that you found in the preliminary phase of this assignment, develop this section. This section will start with an introductory paragraph giving students an overview of the different work aspects you will address. This is followed by 3 subsections (with sub-titles) describing the specific aspects of work for which statistics are used and then discussing specifically how probability or statistics enables the work to be accomplished. This section must have in-text citations to demonstrate you have researched the topic using credible sources.
·
Probability and Statistics Literacy will Enhance Your Employability. Develop a written argument using the data provided to indicate how proficiency in probability and statistics will help to develop competency/competencies employers find look for when hiring recent college graduates. Select only the competency or competencies that are core learning outcomes to this course, (you may not use all of the competencies the webpages identify). Additionally you must incorporate numerical data from both web pages into the argument.
·
Conclusion. The conclusion is a summary of your ENTIRE document. It summarizes what you have done to support you thesis, and includes a reworded restatement of your thesis. It ends with a reminder to the readers of the importance of all of this for their professional future.
·
Reference List. The document will end with an
APA formatted reference list Links to an external site.
Links to an external site.
with a minimum of four (4) references. Each source on the reference list must have at least one
APA formatted in-text citation Links to an external site.
in your document. Citations are required any place in your document where you have used the ideas, data, or images of others.
Word Count: 1000 – 1400 words (not including the reference list.) This is a guide and is most important at the lower end; if your document is shorter than 1000 words, it is likely that it is lacking the detail needed.
For preliminary
Element 1: The Use of Statistics In [Your Field] * –
You may work with other students in your major on selecting uses, finding sources, and completing APA in-text citations and your reference list for this part of the assignment. However, writing your document MUST be completed individually.
Review the
Probability and Statistics in Engineering and Computer Science
Download Probability and Statistics in Engineering and Computer Science
article and resources to develop an understanding of the ways in which your field/major*** uses probability and statistics in the work done. Select 3 applications or tasks that are relevant to your field to research in more detail. To write this well you will need at least one source that helps you identify tasks that are accomplished using probability and statistics in your field, sources to help you describe the tasks, and sources to help you describe how probability and/or statistics are used to enable accomplishing the task. These sources should provide you with information that will allow you to develop 3 clearly presented examples of how probability and statistics are used in your field.
· You must use** a minimum of 4 cited sources for this section. However, you must also have sources to support what you say, which may require you to use additional sources.
*The Use of brackets indicates that you will replace the brackets and the words inside with ones that are appropriate to you and your work.
**Using a source means that you are synthesizing the ideas from the work of another into the original ideas you are putting forward in your work. You will have at least one in-text citation and reference list item using APA formatting for each source. Adding sources to the reference list without an in-text citation will result in no credit for that source.
***This section of the assignment has one required source. A minimum of three sources are required for this section which may come from the resources list or other CREDIBLE sources. Wikipedia may not be used as a source BUT its reference lists may be checked for credible sources.
****USF College of Engineering Majors are departments or major topic areas in departments, they include: Biomedical engineering, chemical engineering, civil engineering, structural engineering, environmental engineering, transportation engineering, computer science, computer engineering, cybersecurity, electrical engineering, industrial engineering, and mechanical engineering
Work to Submit. Complete all of the required information for each source you will use.
Element 2: Probability and Statistics Literacy will Enhance Your Employability.
For this section of your document you will read, interpret, and use descriptive statistics to make an argument that proficiency with probability and statistics will help students get a job when they graduate using the sources provided, these are:
The Four Career Competencies Employers Value Most
Links to an external site.
by NACE Staff
Are College Graduates “Career Ready”?
Links to an external site.
by NACE Staff
You must incorporate data from both sources, meaning you will have at least two points to make with the data as part of this section.
Work to Submit: For this part of the assignment, you will complete the following for each source you use, including the four provided.
· An APA formatted reference list item
· An in-text citation formatted in APA format
· For each source, a brief explanation of
1. What data from each document you will use to support your argument. You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument. For the source you use for the definition of the competencies list the competency or competencies you believe you will enhance in the probability and statistics course. You may not select all as being relevant to this course, you must think about, and make a choice about which competencies are core learning outcomes of this course and make an argument to support that.
2. How you will use the numerical data to support your argument. For the source you use for the definition of the competencies you will describe the way you will incorporate an understanding of the competency into your final document.
Element 3: Reference List (You may work with your assigned groups to complete the reference list.)
Work to Submit: Using the reference list items from above and any extra sources you plan to use, create an APA formatted reference list. You will have a minimum of 4 sources. It is important that your reference listings have the correct information, in the correct order, and that the items and list are formatted correctly. For the reference section, make sure the listings are alphabetized so they can be easily found. Use the APA formatting resources in your reading to help you with this. BEWARE: citation generators are often wrong; you can start with them BUT must revise any that are incorrect.
Element 4: Engaging Your Audience
For this section you will
1. Think about and describe a significant, shared aspirational goal or goals of young professionals entering the field. This goal will be something you can use to engage your readers as you start the document. In the example you will see for architecture students this is to design iconic buildings.
2. Develop a
thesis statement
Name: Herta Ayrton
Element 1: Use of Statistics in architecture
Source 1:
In-text citation
(Carbonnier, 2020)
Reference Listing for this source
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. HCM
Architects. https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
new-normal-2020-04-03/
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article defines zero net energy buildings and design strategies. It explains how
statistics are collected from IoT data sources and used in GIS to inform building form and
location decisions to maximize energy performance by evaluating sun, wind, and light. I will be
using Zero Net Energy buildings as an example of the use of statistics in the design phase of an
architectural design process.
Source 2:
In-text citation
(Gobes-Ryan, 2022)
Reference Listing for this source
Gobes-Ryan, S. (2022). The importance of probability and statistics in engineering and computer
science. https://usflearn.instructure.com/courses/1664254/pages/the-importance-of-
probability-and-statistics-in-engineering-and-computer-science
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article provides insight into how probability and statistics are used across many of the
disciplines in our college.
https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
Source 3:
In-text citation
(Goy, Maréchal, & Finn, 2020)
Reference Listing for this source
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modeling:
Assessing impacts and overcoming availability challenges. Energies (Basel), 13(16)
4244. doi: 10.3390/en13164244
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article addresses the use of data in building energy modeling and where there are gaps
in the data. This is the most essential source I have for understanding how data is used in
building energy modeling.
Element 2: Probability and Statistics Literacy will Enhance Your
Employability examples are not provided for this section; the questions are
straightforward
What statistical parameters are you able to determine in the data provided?
Given the type of data you are provided, and the question being asked is the mean or median the
most appropriate measure of location to use? Why?
Is a measure of spread important to the question being ask? Why or why not?
Is the data provided
Discrete OR Continuous
Numerical OR Categorical
Of the data provided, which important skill(s) will you hone within the math part of your
statistics course? How is this connected to having probability and statistics proficiency?
What two categories of data are provided in the data set?
How can each of these be used to support the case you will make in the IDL 1 Final?
Develop a table that is clear, easy to read and is organized to highlight the most important data to
your argument.
Element 3: Reference list
Hints: Reference lists in APA format are organized alphabetically by the first letter of the
reference item. This is done to make it easy for readers to find as the in-text citation starts with
the same words/names
Reference List
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. HCM
Architects. https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
new-normal-2020-04-03/
Gobes-Ryan, S. (2022). The importance of probability and statistics in engineering and computer
science. https://usflearn.instructure.com/courses/1664254/pages/the-importance-of-
probability-and-statistics-in-engineering-and-computer-science
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modelling:
Assessing impacts and overcoming availability challenges. Energies (Basel), 13(16)
4244. doi: 10.3390/en13164244
Element 4: Appealing to your audience
Describe the aspirational goal of a professional in your field
create iconic buildings
Develop a preliminary thesis statement for your document? (What is it about and
why does that matter?)
Probability and statistics proficiencies are essential skills for those who aim to create the high
performing architecture possible for our generation.
Sheila Gobes-Ryan 1
Probability and Statistics are the Foundation
for Building Your Architectural Career
Introduction
As future architects, we all dream of creating iconic buildings that result in professional recognition
and financial success. Increases in ‘big data’ and the technologies to analyze these data sets more
effectively make it possible to improve the quality of our designs in significant ways during the
design process. However, to integrate these big-data benefits into our design solutions, we need to
become proficient in probability and statistics while in school.
To illustrate this to you, I will describe how probability and statistics are used in architectural
design and show that this skill will help start your career when you graduate. First, I will discuss the
uses of probability and statistics for improving the outcomes of several phases of architectural
projects. Then I will talk to you about the importance of having the skill to complete data analysis
when starting your career.
The Use of Probability and Statistics in Architecture
Design Phase Use of Probability and Statistics
Architects use probability and statistics during different phases of projects to improve and evaluate
the effectiveness of their built projects. In the following sections, I will present the use of
probability and statistics in four project phases:
1. Architects use probability and statistics during site selection to analyze relevant data.
2. In pre-design, they analyze client needs and evaluate their client’s industry space use trends.
3. During design, they assess the layout and material options against existing performance data.
4. In post-occupancy, they evaluate the performance of the space against project goals,
comparable properties, and performance standards and requirements.
By integrating data-driven decisions into the design process, architects can be confident that they
will achieve the high client satisfaction needed for financial success.
Probability and Statistics in Site Selection
An organization’s selection of location impacts many aspects of business success. The decision
may be which city to locate in, what city section to move to, or what specific property to occupy.
However, for each decision, organizations must consider a wide range of business impacts that
location choices can have and if these will be positive or negative for their business. With statistical
and probabilistic analysis, architects can present the business impacts of many factors based on
current data and predicting how many factors are likely to develop in the future. These factors
include access to employees with the necessary skills, proximity to clients or customers, local cost
of living and expected wages, and commute time and transportation access for employees.
Sheila Gobes-Ryan 2
Architects can use these analyses to combine client data, publicly available data, and mobile device
data to make data-driven site selection decisions (Intalytic, 2021). With this, architects provide
their clients with better business outcomes.
Probability and Statistics in Pre-Design
Architects collect and evaluate data statistically during the pre-design stage to determine building
space needs (Vangelatos, 2018) currently and into the future. Input from client interviews and
surveys, company growth projections, and industry benchmarks are all integrated into space needs
and acquisition decisions. Client organizations will rely on the dependability of this work as they
sign leases that extend for years or sometimes decades.
Probability and Statistics in the Design Phase
During the design phase, architects make decisions on materials and building systems so that
projects meet current regulations for things such as energy and water use (Yaglewad, 2020).
Additionally, we are often required to go beyond this to meet standards like the LEEDS
Sustainable Buildings Certification and Zero Net Energy (Carbonnier, 2020). Our ability to run
virtual simulations that statistically evaluate and present a wide range of design, material, and
construction options is critical to our success in this phase. These simulations integrate physics and
statistics to provide sophisticated examinations of building performance of various design choices.
Findings from these simulations allow architects to make changes to improve building performance
before anything is built (Goy, Maréchal, and Finn, 2020).
Post Occupancy Evaluations with Probability and Statistics
After clients move into buildings, sensors connected to the internet can measure and evaluate
actual building performance (Davis, 2015). Owners can assess building performance against
building code requirements and targeted certification programs, such as LEED (Davis, 2015).
With the decrease in the cost of monitoring systems, building owners and occupants are using
these systems to collect and evaluate data on building use and building systems performance in
increasingly complex ways. Vendors of building systems components are creating sophisticated
data visualizations to present this data in easy-to-understand formats.
Clients are using these analyses to move toward performance-based contracts with architects.
These contracts hold back part of the design fees until clients evaluate the buildings resulting from
an architect’s design against required performance standards (Davis, 2015). To get the
compensation they are due, architects’ pre-design systems of evaluation must match the post-
occupancy performance of the resulting buildings. As a result, architects now have a significant
financial stake in the accuracy of the probability and statistical analyses they complete.
Sheila Gobes-Ryan 3
Probability and Statistics Literacy will Enhance Your Employability
You may be thinking that this is a skill set you can skip and allow others to bring to architectural
firms. However, recent data from the National Architectural Education Association (NAEA)
(2020) suggests you should think again about this.
Surveys completed across 2,456 participating architectural practices show that 93% of these firms
of all sizes use statistical data in multiple phases of their design work. For this reason, 85% of these
firms identified data literacy as a skill they consider significant for new employees. This skill
ranked higher in importance than traditional skills such as CAD proficiency. In follow-up
interviews with 200 firm leaders, 87% identified recent graduates’ data literacy as inadequate for the
work demands of entry-level positions. This deficiency did not align with the finding that 70% of
architecture school faculty believed they were preparing their students for the data literacy
demands of the profession. Most challenging was that only 17% of architecture students identified
data literacy as a necessary professional skill (NAEA, 2020).
This data suggest that architecture programs are not preparing students for the data literacy
demands of their profession. Conversely, this preparation deficit provides a distinct advantage for
architecture students who become data literate and familiar with the uses of data analysis in their
professional lives.
Conclusion
This document discusses the many phases of architectural design work in which probability and
statistics play a role. They are first used to evaluate different options for siting a project. Then to
document building needs into the future. During the following phase of work, architects run many
design choices through simulations that evaluate and present various design choices in building
performance. Finally, owners use probability and statistics to collect data and analyze building
performance outcomes. Clients are frequently connecting these outcomes to completing payment
of architectural contracts. For this reason, as with many fields, using and evaluating data in a wide
range of probability and statistics applications is a skill that employers have indicated is critical.
When we prepare to graduate, we now know this is a skill we must have to start on a path of
financial and professional success
References
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. Retrieved
from https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-new-
normal-2020-04-03/
Chilton, J. J. & Baldry, D. (1997). The effects of integrated workplace strategies on commercial
office space. Facilities, 15(7/8), 187-194. doi: 10.1108/02632779710168227
Davis, D. (2015, April 23). How big data is transforming architecture.: The phenomenon presents
hug opportunities for the built environment and the firms that design it. Architect.
Sheila Gobes-Ryan 4
Retrieved from https://www.architectmagazine.com/technology/how-big-data-is-
transforming-architecture_o
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modelling:
Assessing impacts and overcoming availability challenges. Energies 13. doi:
10.3390/en13164244
Intalytics, (2021). Precise recommendations back by sound science. Kalibrate Company.
https://intalytics.com/real-estate-solutions/
Vangelatos, G. (2018, October 12). How architects help increase patient satisfaction in healthcare
through building design.
Yaglewad, S. (2020, May 19). How is statistics used in architecture? What After College. Retrieved
from https://whataftercollege.com/data-science/statistics-used-in-
architecture/#:~:text=How%20is%20Statistics%20used%20in%20Architecture%3F&text=W
hen%20an%20architectural%20project%20is,use%20for%20the%20end%2Dusers.
https://www.architectmagazine.com/technology/how-big-data-is-transforming-architecture_o
https://www.architectmagazine.com/technology/how-big-data-is-transforming-architecture_o
- You may be thinking that this is a skill set you can skip and allow others to bring to architectural firms. However, recent data from the National Architectural Education Association (NAEA) (2020) suggests you should think again about this.
- Surveys completed across 2,456 participating architectural practices show that 93% of these firms of all sizes use statistical data in multiple phases of their design work. For this reason, 85% of these firms identified data literacy as a skill they c…
- This data suggest that architecture programs are not preparing students for the data literacy demands of their profession. Conversely, this preparation deficit provides a distinct advantage for architecture students who become data literate and famili…
Your Title Here
Introduction
Text of your Introduction here.
The Use of Probability and Statistics in [Your Field/Department]
Text of this section
Subtitles if Used
Text of this section
Probability and Statistics Literacy will Enhance Your Employability
Text of this section
Conclusion
Text of your Introduction here.
References
1
image1
Name:
Element 1: Use of Statistics in [Your field]
Source 1:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 2:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 3:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 4:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Element 2: Probability and Statistics Literacy will Enhance Your Employability
Source 1
In-text citation
Reference Listing for this source
What data from each document you will use to support your argument? You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument
How you will use the numerical data to support your argument.
Source 2
In-text citation
Reference Listing for this source
What data from each document you will use to support your argument? You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument
How you will use the numerical data to support your argument.
Element 3: Reference List (remember to alphabetize the reference list by the first name or word in the reference item.)
Element 4: Engaging your Audience
Something Aspirational to start your document
Thesis Statement
For final
Your document purpose is to persuade first year students in your field of the importance of probability and statistics to your field (department or program).
The tone of this document is to be professional, but accessible. Important considerations for a well written document include:
· Flow at the document, paragraph and sentence level.
· Using topic sentences in each section.
· Using section headers and sub-headers, as identified below and shown in the example document.
You may refer to the
professional and general writing
resources page for tools to help with your writing. You may also work with the
Writing Studio Links to an external site.
at the USF Library; this requires planning, as it is best to have an appointment to be assured of having someone to work with.
You will include the following sections:
·
A Document Title. Document titles must briefly and precisely indicate the topic of the document. Ideally, it is also something that will catch the readers’ attention.
·
Introduction. The
introduction Links to an external site.
must accomplish the following:
· Introduces the audience to the topic and its importance. Given the audience you are writing to, first-person is appropriate, as it is your experience as a more advanced student that makes you credible.
Consider as you finalize your introduction, that the USF students you are writing to are diverse in many ways, including in age, life/professional experience, and cultural background. You must speak to all of them, not just to the ones that are like you.
· Includes a
thesis statement
Links to an external site.
that makes the primary claim you will argue in this handout and what you will say about it.
· States how you will use the document to support your argument.
· Present this in a concise, clear paragraph that makes the reader want to read your handout.
After you complete the body of your document, review your introduction to make sure it accurately states what you accomplished with the document. Revise the document as needed to make sure the introduction and the document body work together.
·
The Use of Statistics in [Your Field]. Using the information that you found in the preliminary phase of this assignment, develop this section. This section will start with an introductory paragraph giving students an overview of the different work aspects you will address. This is followed by 3 subsections (with sub-titles) describing the specific aspects of work for which statistics are used and then discussing specifically how probability or statistics enables the work to be accomplished. This section must have in-text citations to demonstrate you have researched the topic using credible sources.
·
Probability and Statistics Literacy will Enhance Your Employability. Develop a written argument using the data provided to indicate how proficiency in probability and statistics will help to develop competency/competencies employers find look for when hiring recent college graduates. Select only the competency or competencies that are core learning outcomes to this course, (you may not use all of the competencies the webpages identify). Additionally you must incorporate numerical data from both web pages into the argument.
·
Conclusion. The conclusion is a summary of your ENTIRE document. It summarizes what you have done to support you thesis, and includes a reworded restatement of your thesis. It ends with a reminder to the readers of the importance of all of this for their professional future.
·
Reference List. The document will end with an
APA formatted reference list Links to an external site.
Links to an external site.
with a minimum of four (4) references. Each source on the reference list must have at least one
APA formatted in-text citation Links to an external site.
in your document. Citations are required any place in your document where you have used the ideas, data, or images of others.
Word Count: 1000 – 1400 words (not including the reference list.) This is a guide and is most important at the lower end; if your document is shorter than 1000 words, it is likely that it is lacking the detail needed.
For preliminary
Element 1: The Use of Statistics In [Your Field] * –
You may work with other students in your major on selecting uses, finding sources, and completing APA in-text citations and your reference list for this part of the assignment. However, writing your document MUST be completed individually.
Review the
Probability and Statistics in Engineering and Computer Science
Download Probability and Statistics in Engineering and Computer Science
article and resources to develop an understanding of the ways in which your field/major*** uses probability and statistics in the work done. Select 3 applications or tasks that are relevant to your field to research in more detail. To write this well you will need at least one source that helps you identify tasks that are accomplished using probability and statistics in your field, sources to help you describe the tasks, and sources to help you describe how probability and/or statistics are used to enable accomplishing the task. These sources should provide you with information that will allow you to develop 3 clearly presented examples of how probability and statistics are used in your field.
· You must use** a minimum of 4 cited sources for this section. However, you must also have sources to support what you say, which may require you to use additional sources.
*The Use of brackets indicates that you will replace the brackets and the words inside with ones that are appropriate to you and your work.
**Using a source means that you are synthesizing the ideas from the work of another into the original ideas you are putting forward in your work. You will have at least one in-text citation and reference list item using APA formatting for each source. Adding sources to the reference list without an in-text citation will result in no credit for that source.
***This section of the assignment has one required source. A minimum of three sources are required for this section which may come from the resources list or other CREDIBLE sources. Wikipedia may not be used as a source BUT its reference lists may be checked for credible sources.
****USF College of Engineering Majors are departments or major topic areas in departments, they include: Biomedical engineering, chemical engineering, civil engineering, structural engineering, environmental engineering, transportation engineering, computer science, computer engineering, cybersecurity, electrical engineering, industrial engineering, and mechanical engineering
Work to Submit. Complete all of the required information for each source you will use.
Element 2: Probability and Statistics Literacy will Enhance Your Employability.
For this section of your document you will read, interpret, and use descriptive statistics to make an argument that proficiency with probability and statistics will help students get a job when they graduate using the sources provided, these are:
The Four Career Competencies Employers Value Most
Links to an external site.
by NACE Staff
Are College Graduates “Career Ready”?
Links to an external site.
by NACE Staff
You must incorporate data from both sources, meaning you will have at least two points to make with the data as part of this section.
Work to Submit: For this part of the assignment, you will complete the following for each source you use, including the four provided.
· An APA formatted reference list item
· An in-text citation formatted in APA format
· For each source, a brief explanation of
1. What data from each document you will use to support your argument. You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument. For the source you use for the definition of the competencies list the competency or competencies you believe you will enhance in the probability and statistics course. You may not select all as being relevant to this course, you must think about, and make a choice about which competencies are core learning outcomes of this course and make an argument to support that.
2. How you will use the numerical data to support your argument. For the source you use for the definition of the competencies you will describe the way you will incorporate an understanding of the competency into your final document.
Element 3: Reference List (You may work with your assigned groups to complete the reference list.)
Work to Submit: Using the reference list items from above and any extra sources you plan to use, create an APA formatted reference list. You will have a minimum of 4 sources. It is important that your reference listings have the correct information, in the correct order, and that the items and list are formatted correctly. For the reference section, make sure the listings are alphabetized so they can be easily found. Use the APA formatting resources in your reading to help you with this. BEWARE: citation generators are often wrong; you can start with them BUT must revise any that are incorrect.
Element 4: Engaging Your Audience
For this section you will
1. Think about and describe a significant, shared aspirational goal or goals of young professionals entering the field. This goal will be something you can use to engage your readers as you start the document. In the example you will see for architecture students this is to design iconic buildings.
2. Develop a
thesis statement
Name: Herta Ayrton
Element 1: Use of Statistics in architecture
Source 1:
In-text citation
(Carbonnier, 2020)
Reference Listing for this source
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. HCM
Architects. https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
new-normal-2020-04-03/
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article defines zero net energy buildings and design strategies. It explains how
statistics are collected from IoT data sources and used in GIS to inform building form and
location decisions to maximize energy performance by evaluating sun, wind, and light. I will be
using Zero Net Energy buildings as an example of the use of statistics in the design phase of an
architectural design process.
Source 2:
In-text citation
(Gobes-Ryan, 2022)
Reference Listing for this source
Gobes-Ryan, S. (2022). The importance of probability and statistics in engineering and computer
science. https://usflearn.instructure.com/courses/1664254/pages/the-importance-of-
probability-and-statistics-in-engineering-and-computer-science
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article provides insight into how probability and statistics are used across many of the
disciplines in our college.
https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
Source 3:
In-text citation
(Goy, Maréchal, & Finn, 2020)
Reference Listing for this source
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modeling:
Assessing impacts and overcoming availability challenges. Energies (Basel), 13(16)
4244. doi: 10.3390/en13164244
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article addresses the use of data in building energy modeling and where there are gaps
in the data. This is the most essential source I have for understanding how data is used in
building energy modeling.
Element 2: Probability and Statistics Literacy will Enhance Your
Employability examples are not provided for this section; the questions are
straightforward
What statistical parameters are you able to determine in the data provided?
Given the type of data you are provided, and the question being asked is the mean or median the
most appropriate measure of location to use? Why?
Is a measure of spread important to the question being ask? Why or why not?
Is the data provided
Discrete OR Continuous
Numerical OR Categorical
Of the data provided, which important skill(s) will you hone within the math part of your
statistics course? How is this connected to having probability and statistics proficiency?
What two categories of data are provided in the data set?
How can each of these be used to support the case you will make in the IDL 1 Final?
Develop a table that is clear, easy to read and is organized to highlight the most important data to
your argument.
Element 3: Reference list
Hints: Reference lists in APA format are organized alphabetically by the first letter of the
reference item. This is done to make it easy for readers to find as the in-text citation starts with
the same words/names
Reference List
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. HCM
Architects. https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
new-normal-2020-04-03/
Gobes-Ryan, S. (2022). The importance of probability and statistics in engineering and computer
science. https://usflearn.instructure.com/courses/1664254/pages/the-importance-of-
probability-and-statistics-in-engineering-and-computer-science
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modelling:
Assessing impacts and overcoming availability challenges. Energies (Basel), 13(16)
4244. doi: 10.3390/en13164244
Element 4: Appealing to your audience
Describe the aspirational goal of a professional in your field
create iconic buildings
Develop a preliminary thesis statement for your document? (What is it about and
why does that matter?)
Probability and statistics proficiencies are essential skills for those who aim to create the high
performing architecture possible for our generation.
Sheila Gobes-Ryan 1
Probability and Statistics are the Foundation
for Building Your Architectural Career
Introduction
As future architects, we all dream of creating iconic buildings that result in professional recognition
and financial success. Increases in ‘big data’ and the technologies to analyze these data sets more
effectively make it possible to improve the quality of our designs in significant ways during the
design process. However, to integrate these big-data benefits into our design solutions, we need to
become proficient in probability and statistics while in school.
To illustrate this to you, I will describe how probability and statistics are used in architectural
design and show that this skill will help start your career when you graduate. First, I will discuss the
uses of probability and statistics for improving the outcomes of several phases of architectural
projects. Then I will talk to you about the importance of having the skill to complete data analysis
when starting your career.
The Use of Probability and Statistics in Architecture
Design Phase Use of Probability and Statistics
Architects use probability and statistics during different phases of projects to improve and evaluate
the effectiveness of their built projects. In the following sections, I will present the use of
probability and statistics in four project phases:
1. Architects use probability and statistics during site selection to analyze relevant data.
2. In pre-design, they analyze client needs and evaluate their client’s industry space use trends.
3. During design, they assess the layout and material options against existing performance data.
4. In post-occupancy, they evaluate the performance of the space against project goals,
comparable properties, and performance standards and requirements.
By integrating data-driven decisions into the design process, architects can be confident that they
will achieve the high client satisfaction needed for financial success.
Probability and Statistics in Site Selection
An organization’s selection of location impacts many aspects of business success. The decision
may be which city to locate in, what city section to move to, or what specific property to occupy.
However, for each decision, organizations must consider a wide range of business impacts that
location choices can have and if these will be positive or negative for their business. With statistical
and probabilistic analysis, architects can present the business impacts of many factors based on
current data and predicting how many factors are likely to develop in the future. These factors
include access to employees with the necessary skills, proximity to clients or customers, local cost
of living and expected wages, and commute time and transportation access for employees.
Sheila Gobes-Ryan 2
Architects can use these analyses to combine client data, publicly available data, and mobile device
data to make data-driven site selection decisions (Intalytic, 2021). With this, architects provide
their clients with better business outcomes.
Probability and Statistics in Pre-Design
Architects collect and evaluate data statistically during the pre-design stage to determine building
space needs (Vangelatos, 2018) currently and into the future. Input from client interviews and
surveys, company growth projections, and industry benchmarks are all integrated into space needs
and acquisition decisions. Client organizations will rely on the dependability of this work as they
sign leases that extend for years or sometimes decades.
Probability and Statistics in the Design Phase
During the design phase, architects make decisions on materials and building systems so that
projects meet current regulations for things such as energy and water use (Yaglewad, 2020).
Additionally, we are often required to go beyond this to meet standards like the LEEDS
Sustainable Buildings Certification and Zero Net Energy (Carbonnier, 2020). Our ability to run
virtual simulations that statistically evaluate and present a wide range of design, material, and
construction options is critical to our success in this phase. These simulations integrate physics and
statistics to provide sophisticated examinations of building performance of various design choices.
Findings from these simulations allow architects to make changes to improve building performance
before anything is built (Goy, Maréchal, and Finn, 2020).
Post Occupancy Evaluations with Probability and Statistics
After clients move into buildings, sensors connected to the internet can measure and evaluate
actual building performance (Davis, 2015). Owners can assess building performance against
building code requirements and targeted certification programs, such as LEED (Davis, 2015).
With the decrease in the cost of monitoring systems, building owners and occupants are using
these systems to collect and evaluate data on building use and building systems performance in
increasingly complex ways. Vendors of building systems components are creating sophisticated
data visualizations to present this data in easy-to-understand formats.
Clients are using these analyses to move toward performance-based contracts with architects.
These contracts hold back part of the design fees until clients evaluate the buildings resulting from
an architect’s design against required performance standards (Davis, 2015). To get the
compensation they are due, architects’ pre-design systems of evaluation must match the post-
occupancy performance of the resulting buildings. As a result, architects now have a significant
financial stake in the accuracy of the probability and statistical analyses they complete.
Sheila Gobes-Ryan 3
Probability and Statistics Literacy will Enhance Your Employability
You may be thinking that this is a skill set you can skip and allow others to bring to architectural
firms. However, recent data from the National Architectural Education Association (NAEA)
(2020) suggests you should think again about this.
Surveys completed across 2,456 participating architectural practices show that 93% of these firms
of all sizes use statistical data in multiple phases of their design work. For this reason, 85% of these
firms identified data literacy as a skill they consider significant for new employees. This skill
ranked higher in importance than traditional skills such as CAD proficiency. In follow-up
interviews with 200 firm leaders, 87% identified recent graduates’ data literacy as inadequate for the
work demands of entry-level positions. This deficiency did not align with the finding that 70% of
architecture school faculty believed they were preparing their students for the data literacy
demands of the profession. Most challenging was that only 17% of architecture students identified
data literacy as a necessary professional skill (NAEA, 2020).
This data suggest that architecture programs are not preparing students for the data literacy
demands of their profession. Conversely, this preparation deficit provides a distinct advantage for
architecture students who become data literate and familiar with the uses of data analysis in their
professional lives.
Conclusion
This document discusses the many phases of architectural design work in which probability and
statistics play a role. They are first used to evaluate different options for siting a project. Then to
document building needs into the future. During the following phase of work, architects run many
design choices through simulations that evaluate and present various design choices in building
performance. Finally, owners use probability and statistics to collect data and analyze building
performance outcomes. Clients are frequently connecting these outcomes to completing payment
of architectural contracts. For this reason, as with many fields, using and evaluating data in a wide
range of probability and statistics applications is a skill that employers have indicated is critical.
When we prepare to graduate, we now know this is a skill we must have to start on a path of
financial and professional success
References
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. Retrieved
from https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-new-
normal-2020-04-03/
Chilton, J. J. & Baldry, D. (1997). The effects of integrated workplace strategies on commercial
office space. Facilities, 15(7/8), 187-194. doi: 10.1108/02632779710168227
Davis, D. (2015, April 23). How big data is transforming architecture.: The phenomenon presents
hug opportunities for the built environment and the firms that design it. Architect.
Sheila Gobes-Ryan 4
Retrieved from https://www.architectmagazine.com/technology/how-big-data-is-
transforming-architecture_o
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modelling:
Assessing impacts and overcoming availability challenges. Energies 13. doi:
10.3390/en13164244
Intalytics, (2021). Precise recommendations back by sound science. Kalibrate Company.
https://intalytics.com/real-estate-solutions/
Vangelatos, G. (2018, October 12). How architects help increase patient satisfaction in healthcare
through building design.
Yaglewad, S. (2020, May 19). How is statistics used in architecture? What After College. Retrieved
from https://whataftercollege.com/data-science/statistics-used-in-
architecture/#:~:text=How%20is%20Statistics%20used%20in%20Architecture%3F&text=W
hen%20an%20architectural%20project%20is,use%20for%20the%20end%2Dusers.
https://www.architectmagazine.com/technology/how-big-data-is-transforming-architecture_o
https://www.architectmagazine.com/technology/how-big-data-is-transforming-architecture_o
- You may be thinking that this is a skill set you can skip and allow others to bring to architectural firms. However, recent data from the National Architectural Education Association (NAEA) (2020) suggests you should think again about this.
- Surveys completed across 2,456 participating architectural practices show that 93% of these firms of all sizes use statistical data in multiple phases of their design work. For this reason, 85% of these firms identified data literacy as a skill they c…
- This data suggest that architecture programs are not preparing students for the data literacy demands of their profession. Conversely, this preparation deficit provides a distinct advantage for architecture students who become data literate and famili…
Your Title Here
Introduction
Text of your Introduction here.
The Use of Probability and Statistics in [Your Field/Department]
Text of this section
Subtitles if Used
Text of this section
Probability and Statistics Literacy will Enhance Your Employability
Text of this section
Conclusion
Text of your Introduction here.
References
1
image1
Name:
Element 1: Use of Statistics in [Your field]
Source 1:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 2:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 3:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 4:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Element 2: Probability and Statistics Literacy will Enhance Your Employability
Source 1
In-text citation
Reference Listing for this source
What data from each document you will use to support your argument? You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument
How you will use the numerical data to support your argument.
Source 2
In-text citation
Reference Listing for this source
What data from each document you will use to support your argument? You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument
How you will use the numerical data to support your argument.
Element 3: Reference List (remember to alphabetize the reference list by the first name or word in the reference item.)
Element 4: Engaging your Audience
Something Aspirational to start your document
Thesis Statement
For final
Your document purpose is to persuade first year students in your field of the importance of probability and statistics to your field (department or program).
The tone of this document is to be professional, but accessible. Important considerations for a well written document include:
· Flow at the document, paragraph and sentence level.
· Using topic sentences in each section.
· Using section headers and sub-headers, as identified below and shown in the example document.
You may refer to the
professional and general writing
resources page for tools to help with your writing. You may also work with the
Writing Studio Links to an external site.
at the USF Library; this requires planning, as it is best to have an appointment to be assured of having someone to work with.
You will include the following sections:
·
A Document Title. Document titles must briefly and precisely indicate the topic of the document. Ideally, it is also something that will catch the readers’ attention.
·
Introduction. The
introduction Links to an external site.
must accomplish the following:
· Introduces the audience to the topic and its importance. Given the audience you are writing to, first-person is appropriate, as it is your experience as a more advanced student that makes you credible.
Consider as you finalize your introduction, that the USF students you are writing to are diverse in many ways, including in age, life/professional experience, and cultural background. You must speak to all of them, not just to the ones that are like you.
· Includes a
thesis statement
Links to an external site.
that makes the primary claim you will argue in this handout and what you will say about it.
· States how you will use the document to support your argument.
· Present this in a concise, clear paragraph that makes the reader want to read your handout.
After you complete the body of your document, review your introduction to make sure it accurately states what you accomplished with the document. Revise the document as needed to make sure the introduction and the document body work together.
·
The Use of Statistics in [Your Field]. Using the information that you found in the preliminary phase of this assignment, develop this section. This section will start with an introductory paragraph giving students an overview of the different work aspects you will address. This is followed by 3 subsections (with sub-titles) describing the specific aspects of work for which statistics are used and then discussing specifically how probability or statistics enables the work to be accomplished. This section must have in-text citations to demonstrate you have researched the topic using credible sources.
·
Probability and Statistics Literacy will Enhance Your Employability. Develop a written argument using the data provided to indicate how proficiency in probability and statistics will help to develop competency/competencies employers find look for when hiring recent college graduates. Select only the competency or competencies that are core learning outcomes to this course, (you may not use all of the competencies the webpages identify). Additionally you must incorporate numerical data from both web pages into the argument.
·
Conclusion. The conclusion is a summary of your ENTIRE document. It summarizes what you have done to support you thesis, and includes a reworded restatement of your thesis. It ends with a reminder to the readers of the importance of all of this for their professional future.
·
Reference List. The document will end with an
APA formatted reference list Links to an external site.
Links to an external site.
with a minimum of four (4) references. Each source on the reference list must have at least one
APA formatted in-text citation Links to an external site.
in your document. Citations are required any place in your document where you have used the ideas, data, or images of others.
Word Count: 1000 – 1400 words (not including the reference list.) This is a guide and is most important at the lower end; if your document is shorter than 1000 words, it is likely that it is lacking the detail needed.
For preliminary
Element 1: The Use of Statistics In [Your Field] * –
You may work with other students in your major on selecting uses, finding sources, and completing APA in-text citations and your reference list for this part of the assignment. However, writing your document MUST be completed individually.
Review the
Probability and Statistics in Engineering and Computer Science
Download Probability and Statistics in Engineering and Computer Science
article and resources to develop an understanding of the ways in which your field/major*** uses probability and statistics in the work done. Select 3 applications or tasks that are relevant to your field to research in more detail. To write this well you will need at least one source that helps you identify tasks that are accomplished using probability and statistics in your field, sources to help you describe the tasks, and sources to help you describe how probability and/or statistics are used to enable accomplishing the task. These sources should provide you with information that will allow you to develop 3 clearly presented examples of how probability and statistics are used in your field.
· You must use** a minimum of 4 cited sources for this section. However, you must also have sources to support what you say, which may require you to use additional sources.
*The Use of brackets indicates that you will replace the brackets and the words inside with ones that are appropriate to you and your work.
**Using a source means that you are synthesizing the ideas from the work of another into the original ideas you are putting forward in your work. You will have at least one in-text citation and reference list item using APA formatting for each source. Adding sources to the reference list without an in-text citation will result in no credit for that source.
***This section of the assignment has one required source. A minimum of three sources are required for this section which may come from the resources list or other CREDIBLE sources. Wikipedia may not be used as a source BUT its reference lists may be checked for credible sources.
****USF College of Engineering Majors are departments or major topic areas in departments, they include: Biomedical engineering, chemical engineering, civil engineering, structural engineering, environmental engineering, transportation engineering, computer science, computer engineering, cybersecurity, electrical engineering, industrial engineering, and mechanical engineering
Work to Submit. Complete all of the required information for each source you will use.
Element 2: Probability and Statistics Literacy will Enhance Your Employability.
For this section of your document you will read, interpret, and use descriptive statistics to make an argument that proficiency with probability and statistics will help students get a job when they graduate using the sources provided, these are:
The Four Career Competencies Employers Value Most
Links to an external site.
by NACE Staff
Are College Graduates “Career Ready”?
Links to an external site.
by NACE Staff
You must incorporate data from both sources, meaning you will have at least two points to make with the data as part of this section.
Work to Submit: For this part of the assignment, you will complete the following for each source you use, including the four provided.
· An APA formatted reference list item
· An in-text citation formatted in APA format
· For each source, a brief explanation of
1. What data from each document you will use to support your argument. You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument. For the source you use for the definition of the competencies list the competency or competencies you believe you will enhance in the probability and statistics course. You may not select all as being relevant to this course, you must think about, and make a choice about which competencies are core learning outcomes of this course and make an argument to support that.
2. How you will use the numerical data to support your argument. For the source you use for the definition of the competencies you will describe the way you will incorporate an understanding of the competency into your final document.
Element 3: Reference List (You may work with your assigned groups to complete the reference list.)
Work to Submit: Using the reference list items from above and any extra sources you plan to use, create an APA formatted reference list. You will have a minimum of 4 sources. It is important that your reference listings have the correct information, in the correct order, and that the items and list are formatted correctly. For the reference section, make sure the listings are alphabetized so they can be easily found. Use the APA formatting resources in your reading to help you with this. BEWARE: citation generators are often wrong; you can start with them BUT must revise any that are incorrect.
Element 4: Engaging Your Audience
For this section you will
1. Think about and describe a significant, shared aspirational goal or goals of young professionals entering the field. This goal will be something you can use to engage your readers as you start the document. In the example you will see for architecture students this is to design iconic buildings.
2. Develop a
thesis statement
Name: Herta Ayrton
Element 1: Use of Statistics in architecture
Source 1:
In-text citation
(Carbonnier, 2020)
Reference Listing for this source
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. HCM
Architects. https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
new-normal-2020-04-03/
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article defines zero net energy buildings and design strategies. It explains how
statistics are collected from IoT data sources and used in GIS to inform building form and
location decisions to maximize energy performance by evaluating sun, wind, and light. I will be
using Zero Net Energy buildings as an example of the use of statistics in the design phase of an
architectural design process.
Source 2:
In-text citation
(Gobes-Ryan, 2022)
Reference Listing for this source
Gobes-Ryan, S. (2022). The importance of probability and statistics in engineering and computer
science. https://usflearn.instructure.com/courses/1664254/pages/the-importance-of-
probability-and-statistics-in-engineering-and-computer-science
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article provides insight into how probability and statistics are used across many of the
disciplines in our college.
https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
Source 3:
In-text citation
(Goy, Maréchal, & Finn, 2020)
Reference Listing for this source
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modeling:
Assessing impacts and overcoming availability challenges. Energies (Basel), 13(16)
4244. doi: 10.3390/en13164244
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article addresses the use of data in building energy modeling and where there are gaps
in the data. This is the most essential source I have for understanding how data is used in
building energy modeling.
Element 2: Probability and Statistics Literacy will Enhance Your
Employability examples are not provided for this section; the questions are
straightforward
What statistical parameters are you able to determine in the data provided?
Given the type of data you are provided, and the question being asked is the mean or median the
most appropriate measure of location to use? Why?
Is a measure of spread important to the question being ask? Why or why not?
Is the data provided
Discrete OR Continuous
Numerical OR Categorical
Of the data provided, which important skill(s) will you hone within the math part of your
statistics course? How is this connected to having probability and statistics proficiency?
What two categories of data are provided in the data set?
How can each of these be used to support the case you will make in the IDL 1 Final?
Develop a table that is clear, easy to read and is organized to highlight the most important data to
your argument.
Element 3: Reference list
Hints: Reference lists in APA format are organized alphabetically by the first letter of the
reference item. This is done to make it easy for readers to find as the in-text citation starts with
the same words/names
Reference List
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. HCM
Architects. https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
new-normal-2020-04-03/
Gobes-Ryan, S. (2022). The importance of probability and statistics in engineering and computer
science. https://usflearn.instructure.com/courses/1664254/pages/the-importance-of-
probability-and-statistics-in-engineering-and-computer-science
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modelling:
Assessing impacts and overcoming availability challenges. Energies (Basel), 13(16)
4244. doi: 10.3390/en13164244
Element 4: Appealing to your audience
Describe the aspirational goal of a professional in your field
create iconic buildings
Develop a preliminary thesis statement for your document? (What is it about and
why does that matter?)
Probability and statistics proficiencies are essential skills for those who aim to create the high
performing architecture possible for our generation.
Sheila Gobes-Ryan 1
Probability and Statistics are the Foundation
for Building Your Architectural Career
Introduction
As future architects, we all dream of creating iconic buildings that result in professional recognition
and financial success. Increases in ‘big data’ and the technologies to analyze these data sets more
effectively make it possible to improve the quality of our designs in significant ways during the
design process. However, to integrate these big-data benefits into our design solutions, we need to
become proficient in probability and statistics while in school.
To illustrate this to you, I will describe how probability and statistics are used in architectural
design and show that this skill will help start your career when you graduate. First, I will discuss the
uses of probability and statistics for improving the outcomes of several phases of architectural
projects. Then I will talk to you about the importance of having the skill to complete data analysis
when starting your career.
The Use of Probability and Statistics in Architecture
Design Phase Use of Probability and Statistics
Architects use probability and statistics during different phases of projects to improve and evaluate
the effectiveness of their built projects. In the following sections, I will present the use of
probability and statistics in four project phases:
1. Architects use probability and statistics during site selection to analyze relevant data.
2. In pre-design, they analyze client needs and evaluate their client’s industry space use trends.
3. During design, they assess the layout and material options against existing performance data.
4. In post-occupancy, they evaluate the performance of the space against project goals,
comparable properties, and performance standards and requirements.
By integrating data-driven decisions into the design process, architects can be confident that they
will achieve the high client satisfaction needed for financial success.
Probability and Statistics in Site Selection
An organization’s selection of location impacts many aspects of business success. The decision
may be which city to locate in, what city section to move to, or what specific property to occupy.
However, for each decision, organizations must consider a wide range of business impacts that
location choices can have and if these will be positive or negative for their business. With statistical
and probabilistic analysis, architects can present the business impacts of many factors based on
current data and predicting how many factors are likely to develop in the future. These factors
include access to employees with the necessary skills, proximity to clients or customers, local cost
of living and expected wages, and commute time and transportation access for employees.
Sheila Gobes-Ryan 2
Architects can use these analyses to combine client data, publicly available data, and mobile device
data to make data-driven site selection decisions (Intalytic, 2021). With this, architects provide
their clients with better business outcomes.
Probability and Statistics in Pre-Design
Architects collect and evaluate data statistically during the pre-design stage to determine building
space needs (Vangelatos, 2018) currently and into the future. Input from client interviews and
surveys, company growth projections, and industry benchmarks are all integrated into space needs
and acquisition decisions. Client organizations will rely on the dependability of this work as they
sign leases that extend for years or sometimes decades.
Probability and Statistics in the Design Phase
During the design phase, architects make decisions on materials and building systems so that
projects meet current regulations for things such as energy and water use (Yaglewad, 2020).
Additionally, we are often required to go beyond this to meet standards like the LEEDS
Sustainable Buildings Certification and Zero Net Energy (Carbonnier, 2020). Our ability to run
virtual simulations that statistically evaluate and present a wide range of design, material, and
construction options is critical to our success in this phase. These simulations integrate physics and
statistics to provide sophisticated examinations of building performance of various design choices.
Findings from these simulations allow architects to make changes to improve building performance
before anything is built (Goy, Maréchal, and Finn, 2020).
Post Occupancy Evaluations with Probability and Statistics
After clients move into buildings, sensors connected to the internet can measure and evaluate
actual building performance (Davis, 2015). Owners can assess building performance against
building code requirements and targeted certification programs, such as LEED (Davis, 2015).
With the decrease in the cost of monitoring systems, building owners and occupants are using
these systems to collect and evaluate data on building use and building systems performance in
increasingly complex ways. Vendors of building systems components are creating sophisticated
data visualizations to present this data in easy-to-understand formats.
Clients are using these analyses to move toward performance-based contracts with architects.
These contracts hold back part of the design fees until clients evaluate the buildings resulting from
an architect’s design against required performance standards (Davis, 2015). To get the
compensation they are due, architects’ pre-design systems of evaluation must match the post-
occupancy performance of the resulting buildings. As a result, architects now have a significant
financial stake in the accuracy of the probability and statistical analyses they complete.
Sheila Gobes-Ryan 3
Probability and Statistics Literacy will Enhance Your Employability
You may be thinking that this is a skill set you can skip and allow others to bring to architectural
firms. However, recent data from the National Architectural Education Association (NAEA)
(2020) suggests you should think again about this.
Surveys completed across 2,456 participating architectural practices show that 93% of these firms
of all sizes use statistical data in multiple phases of their design work. For this reason, 85% of these
firms identified data literacy as a skill they consider significant for new employees. This skill
ranked higher in importance than traditional skills such as CAD proficiency. In follow-up
interviews with 200 firm leaders, 87% identified recent graduates’ data literacy as inadequate for the
work demands of entry-level positions. This deficiency did not align with the finding that 70% of
architecture school faculty believed they were preparing their students for the data literacy
demands of the profession. Most challenging was that only 17% of architecture students identified
data literacy as a necessary professional skill (NAEA, 2020).
This data suggest that architecture programs are not preparing students for the data literacy
demands of their profession. Conversely, this preparation deficit provides a distinct advantage for
architecture students who become data literate and familiar with the uses of data analysis in their
professional lives.
Conclusion
This document discusses the many phases of architectural design work in which probability and
statistics play a role. They are first used to evaluate different options for siting a project. Then to
document building needs into the future. During the following phase of work, architects run many
design choices through simulations that evaluate and present various design choices in building
performance. Finally, owners use probability and statistics to collect data and analyze building
performance outcomes. Clients are frequently connecting these outcomes to completing payment
of architectural contracts. For this reason, as with many fields, using and evaluating data in a wide
range of probability and statistics applications is a skill that employers have indicated is critical.
When we prepare to graduate, we now know this is a skill we must have to start on a path of
financial and professional success
References
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. Retrieved
from https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-new-
normal-2020-04-03/
Chilton, J. J. & Baldry, D. (1997). The effects of integrated workplace strategies on commercial
office space. Facilities, 15(7/8), 187-194. doi: 10.1108/02632779710168227
Davis, D. (2015, April 23). How big data is transforming architecture.: The phenomenon presents
hug opportunities for the built environment and the firms that design it. Architect.
Sheila Gobes-Ryan 4
Retrieved from https://www.architectmagazine.com/technology/how-big-data-is-
transforming-architecture_o
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modelling:
Assessing impacts and overcoming availability challenges. Energies 13. doi:
10.3390/en13164244
Intalytics, (2021). Precise recommendations back by sound science. Kalibrate Company.
https://intalytics.com/real-estate-solutions/
Vangelatos, G. (2018, October 12). How architects help increase patient satisfaction in healthcare
through building design.
Yaglewad, S. (2020, May 19). How is statistics used in architecture? What After College. Retrieved
from https://whataftercollege.com/data-science/statistics-used-in-
architecture/#:~:text=How%20is%20Statistics%20used%20in%20Architecture%3F&text=W
hen%20an%20architectural%20project%20is,use%20for%20the%20end%2Dusers.
https://www.architectmagazine.com/technology/how-big-data-is-transforming-architecture_o
https://www.architectmagazine.com/technology/how-big-data-is-transforming-architecture_o
- You may be thinking that this is a skill set you can skip and allow others to bring to architectural firms. However, recent data from the National Architectural Education Association (NAEA) (2020) suggests you should think again about this.
- Surveys completed across 2,456 participating architectural practices show that 93% of these firms of all sizes use statistical data in multiple phases of their design work. For this reason, 85% of these firms identified data literacy as a skill they c…
- This data suggest that architecture programs are not preparing students for the data literacy demands of their profession. Conversely, this preparation deficit provides a distinct advantage for architecture students who become data literate and famili…
Your Title Here
Introduction
Text of your Introduction here.
The Use of Probability and Statistics in [Your Field/Department]
Text of this section
Subtitles if Used
Text of this section
Probability and Statistics Literacy will Enhance Your Employability
Text of this section
Conclusion
Text of your Introduction here.
References
1
image1
Name:
Element 1: Use of Statistics in [Your field]
Source 1:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 2:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 3:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 4:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Element 2: Probability and Statistics Literacy will Enhance Your Employability
Source 1
In-text citation
Reference Listing for this source
What data from each document you will use to support your argument? You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument
How you will use the numerical data to support your argument.
Source 2
In-text citation
Reference Listing for this source
What data from each document you will use to support your argument? You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument
How you will use the numerical data to support your argument.
Element 3: Reference List (remember to alphabetize the reference list by the first name or word in the reference item.)
Element 4: Engaging your Audience
Something Aspirational to start your document
Thesis Statement
For final
Your document purpose is to persuade first year students in your field of the importance of probability and statistics to your field (department or program).
The tone of this document is to be professional, but accessible. Important considerations for a well written document include:
· Flow at the document, paragraph and sentence level.
· Using topic sentences in each section.
· Using section headers and sub-headers, as identified below and shown in the example document.
You may refer to the
professional and general writing
resources page for tools to help with your writing. You may also work with the
Writing Studio Links to an external site.
at the USF Library; this requires planning, as it is best to have an appointment to be assured of having someone to work with.
You will include the following sections:
·
A Document Title. Document titles must briefly and precisely indicate the topic of the document. Ideally, it is also something that will catch the readers’ attention.
·
Introduction. The
introduction Links to an external site.
must accomplish the following:
· Introduces the audience to the topic and its importance. Given the audience you are writing to, first-person is appropriate, as it is your experience as a more advanced student that makes you credible.
Consider as you finalize your introduction, that the USF students you are writing to are diverse in many ways, including in age, life/professional experience, and cultural background. You must speak to all of them, not just to the ones that are like you.
· Includes a
thesis statement
Links to an external site.
that makes the primary claim you will argue in this handout and what you will say about it.
· States how you will use the document to support your argument.
· Present this in a concise, clear paragraph that makes the reader want to read your handout.
After you complete the body of your document, review your introduction to make sure it accurately states what you accomplished with the document. Revise the document as needed to make sure the introduction and the document body work together.
·
The Use of Statistics in [Your Field]. Using the information that you found in the preliminary phase of this assignment, develop this section. This section will start with an introductory paragraph giving students an overview of the different work aspects you will address. This is followed by 3 subsections (with sub-titles) describing the specific aspects of work for which statistics are used and then discussing specifically how probability or statistics enables the work to be accomplished. This section must have in-text citations to demonstrate you have researched the topic using credible sources.
·
Probability and Statistics Literacy will Enhance Your Employability. Develop a written argument using the data provided to indicate how proficiency in probability and statistics will help to develop competency/competencies employers find look for when hiring recent college graduates. Select only the competency or competencies that are core learning outcomes to this course, (you may not use all of the competencies the webpages identify). Additionally you must incorporate numerical data from both web pages into the argument.
·
Conclusion. The conclusion is a summary of your ENTIRE document. It summarizes what you have done to support you thesis, and includes a reworded restatement of your thesis. It ends with a reminder to the readers of the importance of all of this for their professional future.
·
Reference List. The document will end with an
APA formatted reference list Links to an external site.
Links to an external site.
with a minimum of four (4) references. Each source on the reference list must have at least one
APA formatted in-text citation Links to an external site.
in your document. Citations are required any place in your document where you have used the ideas, data, or images of others.
Word Count: 1000 – 1400 words (not including the reference list.) This is a guide and is most important at the lower end; if your document is shorter than 1000 words, it is likely that it is lacking the detail needed.
For preliminary
Element 1: The Use of Statistics In [Your Field] * –
You may work with other students in your major on selecting uses, finding sources, and completing APA in-text citations and your reference list for this part of the assignment. However, writing your document MUST be completed individually.
Review the
Probability and Statistics in Engineering and Computer Science
Download Probability and Statistics in Engineering and Computer Science
article and resources to develop an understanding of the ways in which your field/major*** uses probability and statistics in the work done. Select 3 applications or tasks that are relevant to your field to research in more detail. To write this well you will need at least one source that helps you identify tasks that are accomplished using probability and statistics in your field, sources to help you describe the tasks, and sources to help you describe how probability and/or statistics are used to enable accomplishing the task. These sources should provide you with information that will allow you to develop 3 clearly presented examples of how probability and statistics are used in your field.
· You must use** a minimum of 4 cited sources for this section. However, you must also have sources to support what you say, which may require you to use additional sources.
*The Use of brackets indicates that you will replace the brackets and the words inside with ones that are appropriate to you and your work.
**Using a source means that you are synthesizing the ideas from the work of another into the original ideas you are putting forward in your work. You will have at least one in-text citation and reference list item using APA formatting for each source. Adding sources to the reference list without an in-text citation will result in no credit for that source.
***This section of the assignment has one required source. A minimum of three sources are required for this section which may come from the resources list or other CREDIBLE sources. Wikipedia may not be used as a source BUT its reference lists may be checked for credible sources.
****USF College of Engineering Majors are departments or major topic areas in departments, they include: Biomedical engineering, chemical engineering, civil engineering, structural engineering, environmental engineering, transportation engineering, computer science, computer engineering, cybersecurity, electrical engineering, industrial engineering, and mechanical engineering
Work to Submit. Complete all of the required information for each source you will use.
Element 2: Probability and Statistics Literacy will Enhance Your Employability.
For this section of your document you will read, interpret, and use descriptive statistics to make an argument that proficiency with probability and statistics will help students get a job when they graduate using the sources provided, these are:
The Four Career Competencies Employers Value Most
Links to an external site.
by NACE Staff
Are College Graduates “Career Ready”?
Links to an external site.
by NACE Staff
You must incorporate data from both sources, meaning you will have at least two points to make with the data as part of this section.
Work to Submit: For this part of the assignment, you will complete the following for each source you use, including the four provided.
· An APA formatted reference list item
· An in-text citation formatted in APA format
· For each source, a brief explanation of
1. What data from each document you will use to support your argument. You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument. For the source you use for the definition of the competencies list the competency or competencies you believe you will enhance in the probability and statistics course. You may not select all as being relevant to this course, you must think about, and make a choice about which competencies are core learning outcomes of this course and make an argument to support that.
2. How you will use the numerical data to support your argument. For the source you use for the definition of the competencies you will describe the way you will incorporate an understanding of the competency into your final document.
Element 3: Reference List (You may work with your assigned groups to complete the reference list.)
Work to Submit: Using the reference list items from above and any extra sources you plan to use, create an APA formatted reference list. You will have a minimum of 4 sources. It is important that your reference listings have the correct information, in the correct order, and that the items and list are formatted correctly. For the reference section, make sure the listings are alphabetized so they can be easily found. Use the APA formatting resources in your reading to help you with this. BEWARE: citation generators are often wrong; you can start with them BUT must revise any that are incorrect.
Element 4: Engaging Your Audience
For this section you will
1. Think about and describe a significant, shared aspirational goal or goals of young professionals entering the field. This goal will be something you can use to engage your readers as you start the document. In the example you will see for architecture students this is to design iconic buildings.
2. Develop a
thesis statement
Name: Herta Ayrton
Element 1: Use of Statistics in architecture
Source 1:
In-text citation
(Carbonnier, 2020)
Reference Listing for this source
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. HCM
Architects. https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
new-normal-2020-04-03/
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article defines zero net energy buildings and design strategies. It explains how
statistics are collected from IoT data sources and used in GIS to inform building form and
location decisions to maximize energy performance by evaluating sun, wind, and light. I will be
using Zero Net Energy buildings as an example of the use of statistics in the design phase of an
architectural design process.
Source 2:
In-text citation
(Gobes-Ryan, 2022)
Reference Listing for this source
Gobes-Ryan, S. (2022). The importance of probability and statistics in engineering and computer
science. https://usflearn.instructure.com/courses/1664254/pages/the-importance-of-
probability-and-statistics-in-engineering-and-computer-science
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article provides insight into how probability and statistics are used across many of the
disciplines in our college.
https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
Source 3:
In-text citation
(Goy, Maréchal, & Finn, 2020)
Reference Listing for this source
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modeling:
Assessing impacts and overcoming availability challenges. Energies (Basel), 13(16)
4244. doi: 10.3390/en13164244
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article addresses the use of data in building energy modeling and where there are gaps
in the data. This is the most essential source I have for understanding how data is used in
building energy modeling.
Element 2: Probability and Statistics Literacy will Enhance Your
Employability examples are not provided for this section; the questions are
straightforward
What statistical parameters are you able to determine in the data provided?
Given the type of data you are provided, and the question being asked is the mean or median the
most appropriate measure of location to use? Why?
Is a measure of spread important to the question being ask? Why or why not?
Is the data provided
Discrete OR Continuous
Numerical OR Categorical
Of the data provided, which important skill(s) will you hone within the math part of your
statistics course? How is this connected to having probability and statistics proficiency?
What two categories of data are provided in the data set?
How can each of these be used to support the case you will make in the IDL 1 Final?
Develop a table that is clear, easy to read and is organized to highlight the most important data to
your argument.
Element 3: Reference list
Hints: Reference lists in APA format are organized alphabetically by the first letter of the
reference item. This is done to make it easy for readers to find as the in-text citation starts with
the same words/names
Reference List
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. HCM
Architects. https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
new-normal-2020-04-03/
Gobes-Ryan, S. (2022). The importance of probability and statistics in engineering and computer
science. https://usflearn.instructure.com/courses/1664254/pages/the-importance-of-
probability-and-statistics-in-engineering-and-computer-science
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modelling:
Assessing impacts and overcoming availability challenges. Energies (Basel), 13(16)
4244. doi: 10.3390/en13164244
Element 4: Appealing to your audience
Describe the aspirational goal of a professional in your field
create iconic buildings
Develop a preliminary thesis statement for your document? (What is it about and
why does that matter?)
Probability and statistics proficiencies are essential skills for those who aim to create the high
performing architecture possible for our generation.
Sheila Gobes-Ryan 1
Probability and Statistics are the Foundation
for Building Your Architectural Career
Introduction
As future architects, we all dream of creating iconic buildings that result in professional recognition
and financial success. Increases in ‘big data’ and the technologies to analyze these data sets more
effectively make it possible to improve the quality of our designs in significant ways during the
design process. However, to integrate these big-data benefits into our design solutions, we need to
become proficient in probability and statistics while in school.
To illustrate this to you, I will describe how probability and statistics are used in architectural
design and show that this skill will help start your career when you graduate. First, I will discuss the
uses of probability and statistics for improving the outcomes of several phases of architectural
projects. Then I will talk to you about the importance of having the skill to complete data analysis
when starting your career.
The Use of Probability and Statistics in Architecture
Design Phase Use of Probability and Statistics
Architects use probability and statistics during different phases of projects to improve and evaluate
the effectiveness of their built projects. In the following sections, I will present the use of
probability and statistics in four project phases:
1. Architects use probability and statistics during site selection to analyze relevant data.
2. In pre-design, they analyze client needs and evaluate their client’s industry space use trends.
3. During design, they assess the layout and material options against existing performance data.
4. In post-occupancy, they evaluate the performance of the space against project goals,
comparable properties, and performance standards and requirements.
By integrating data-driven decisions into the design process, architects can be confident that they
will achieve the high client satisfaction needed for financial success.
Probability and Statistics in Site Selection
An organization’s selection of location impacts many aspects of business success. The decision
may be which city to locate in, what city section to move to, or what specific property to occupy.
However, for each decision, organizations must consider a wide range of business impacts that
location choices can have and if these will be positive or negative for their business. With statistical
and probabilistic analysis, architects can present the business impacts of many factors based on
current data and predicting how many factors are likely to develop in the future. These factors
include access to employees with the necessary skills, proximity to clients or customers, local cost
of living and expected wages, and commute time and transportation access for employees.
Sheila Gobes-Ryan 2
Architects can use these analyses to combine client data, publicly available data, and mobile device
data to make data-driven site selection decisions (Intalytic, 2021). With this, architects provide
their clients with better business outcomes.
Probability and Statistics in Pre-Design
Architects collect and evaluate data statistically during the pre-design stage to determine building
space needs (Vangelatos, 2018) currently and into the future. Input from client interviews and
surveys, company growth projections, and industry benchmarks are all integrated into space needs
and acquisition decisions. Client organizations will rely on the dependability of this work as they
sign leases that extend for years or sometimes decades.
Probability and Statistics in the Design Phase
During the design phase, architects make decisions on materials and building systems so that
projects meet current regulations for things such as energy and water use (Yaglewad, 2020).
Additionally, we are often required to go beyond this to meet standards like the LEEDS
Sustainable Buildings Certification and Zero Net Energy (Carbonnier, 2020). Our ability to run
virtual simulations that statistically evaluate and present a wide range of design, material, and
construction options is critical to our success in this phase. These simulations integrate physics and
statistics to provide sophisticated examinations of building performance of various design choices.
Findings from these simulations allow architects to make changes to improve building performance
before anything is built (Goy, Maréchal, and Finn, 2020).
Post Occupancy Evaluations with Probability and Statistics
After clients move into buildings, sensors connected to the internet can measure and evaluate
actual building performance (Davis, 2015). Owners can assess building performance against
building code requirements and targeted certification programs, such as LEED (Davis, 2015).
With the decrease in the cost of monitoring systems, building owners and occupants are using
these systems to collect and evaluate data on building use and building systems performance in
increasingly complex ways. Vendors of building systems components are creating sophisticated
data visualizations to present this data in easy-to-understand formats.
Clients are using these analyses to move toward performance-based contracts with architects.
These contracts hold back part of the design fees until clients evaluate the buildings resulting from
an architect’s design against required performance standards (Davis, 2015). To get the
compensation they are due, architects’ pre-design systems of evaluation must match the post-
occupancy performance of the resulting buildings. As a result, architects now have a significant
financial stake in the accuracy of the probability and statistical analyses they complete.
Sheila Gobes-Ryan 3
Probability and Statistics Literacy will Enhance Your Employability
You may be thinking that this is a skill set you can skip and allow others to bring to architectural
firms. However, recent data from the National Architectural Education Association (NAEA)
(2020) suggests you should think again about this.
Surveys completed across 2,456 participating architectural practices show that 93% of these firms
of all sizes use statistical data in multiple phases of their design work. For this reason, 85% of these
firms identified data literacy as a skill they consider significant for new employees. This skill
ranked higher in importance than traditional skills such as CAD proficiency. In follow-up
interviews with 200 firm leaders, 87% identified recent graduates’ data literacy as inadequate for the
work demands of entry-level positions. This deficiency did not align with the finding that 70% of
architecture school faculty believed they were preparing their students for the data literacy
demands of the profession. Most challenging was that only 17% of architecture students identified
data literacy as a necessary professional skill (NAEA, 2020).
This data suggest that architecture programs are not preparing students for the data literacy
demands of their profession. Conversely, this preparation deficit provides a distinct advantage for
architecture students who become data literate and familiar with the uses of data analysis in their
professional lives.
Conclusion
This document discusses the many phases of architectural design work in which probability and
statistics play a role. They are first used to evaluate different options for siting a project. Then to
document building needs into the future. During the following phase of work, architects run many
design choices through simulations that evaluate and present various design choices in building
performance. Finally, owners use probability and statistics to collect data and analyze building
performance outcomes. Clients are frequently connecting these outcomes to completing payment
of architectural contracts. For this reason, as with many fields, using and evaluating data in a wide
range of probability and statistics applications is a skill that employers have indicated is critical.
When we prepare to graduate, we now know this is a skill we must have to start on a path of
financial and professional success
References
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. Retrieved
from https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-new-
normal-2020-04-03/
Chilton, J. J. & Baldry, D. (1997). The effects of integrated workplace strategies on commercial
office space. Facilities, 15(7/8), 187-194. doi: 10.1108/02632779710168227
Davis, D. (2015, April 23). How big data is transforming architecture.: The phenomenon presents
hug opportunities for the built environment and the firms that design it. Architect.
Sheila Gobes-Ryan 4
Retrieved from https://www.architectmagazine.com/technology/how-big-data-is-
transforming-architecture_o
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modelling:
Assessing impacts and overcoming availability challenges. Energies 13. doi:
10.3390/en13164244
Intalytics, (2021). Precise recommendations back by sound science. Kalibrate Company.
https://intalytics.com/real-estate-solutions/
Vangelatos, G. (2018, October 12). How architects help increase patient satisfaction in healthcare
through building design.
Yaglewad, S. (2020, May 19). How is statistics used in architecture? What After College. Retrieved
from https://whataftercollege.com/data-science/statistics-used-in-
architecture/#:~:text=How%20is%20Statistics%20used%20in%20Architecture%3F&text=W
hen%20an%20architectural%20project%20is,use%20for%20the%20end%2Dusers.
https://www.architectmagazine.com/technology/how-big-data-is-transforming-architecture_o
https://www.architectmagazine.com/technology/how-big-data-is-transforming-architecture_o
- You may be thinking that this is a skill set you can skip and allow others to bring to architectural firms. However, recent data from the National Architectural Education Association (NAEA) (2020) suggests you should think again about this.
- Surveys completed across 2,456 participating architectural practices show that 93% of these firms of all sizes use statistical data in multiple phases of their design work. For this reason, 85% of these firms identified data literacy as a skill they c…
- This data suggest that architecture programs are not preparing students for the data literacy demands of their profession. Conversely, this preparation deficit provides a distinct advantage for architecture students who become data literate and famili…
Your Title Here
Introduction
Text of your Introduction here.
The Use of Probability and Statistics in [Your Field/Department]
Text of this section
Subtitles if Used
Text of this section
Probability and Statistics Literacy will Enhance Your Employability
Text of this section
Conclusion
Text of your Introduction here.
References
1
image1
Name:
Element 1: Use of Statistics in [Your field]
Source 1:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 2:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 3:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 4:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Element 2: Probability and Statistics Literacy will Enhance Your Employability
Source 1
In-text citation
Reference Listing for this source
What data from each document you will use to support your argument? You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument
How you will use the numerical data to support your argument.
Source 2
In-text citation
Reference Listing for this source
What data from each document you will use to support your argument? You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument
How you will use the numerical data to support your argument.
Element 3: Reference List (remember to alphabetize the reference list by the first name or word in the reference item.)
Element 4: Engaging your Audience
Something Aspirational to start your document
Thesis Statement
For final
Your document purpose is to persuade first year students in your field of the importance of probability and statistics to your field (department or program).
The tone of this document is to be professional, but accessible. Important considerations for a well written document include:
· Flow at the document, paragraph and sentence level.
· Using topic sentences in each section.
· Using section headers and sub-headers, as identified below and shown in the example document.
You may refer to the
professional and general writing
resources page for tools to help with your writing. You may also work with the
Writing Studio Links to an external site.
at the USF Library; this requires planning, as it is best to have an appointment to be assured of having someone to work with.
You will include the following sections:
·
A Document Title. Document titles must briefly and precisely indicate the topic of the document. Ideally, it is also something that will catch the readers’ attention.
·
Introduction. The
introduction Links to an external site.
must accomplish the following:
· Introduces the audience to the topic and its importance. Given the audience you are writing to, first-person is appropriate, as it is your experience as a more advanced student that makes you credible.
Consider as you finalize your introduction, that the USF students you are writing to are diverse in many ways, including in age, life/professional experience, and cultural background. You must speak to all of them, not just to the ones that are like you.
· Includes a
thesis statement
Links to an external site.
that makes the primary claim you will argue in this handout and what you will say about it.
· States how you will use the document to support your argument.
· Present this in a concise, clear paragraph that makes the reader want to read your handout.
After you complete the body of your document, review your introduction to make sure it accurately states what you accomplished with the document. Revise the document as needed to make sure the introduction and the document body work together.
·
The Use of Statistics in [Your Field]. Using the information that you found in the preliminary phase of this assignment, develop this section. This section will start with an introductory paragraph giving students an overview of the different work aspects you will address. This is followed by 3 subsections (with sub-titles) describing the specific aspects of work for which statistics are used and then discussing specifically how probability or statistics enables the work to be accomplished. This section must have in-text citations to demonstrate you have researched the topic using credible sources.
·
Probability and Statistics Literacy will Enhance Your Employability. Develop a written argument using the data provided to indicate how proficiency in probability and statistics will help to develop competency/competencies employers find look for when hiring recent college graduates. Select only the competency or competencies that are core learning outcomes to this course, (you may not use all of the competencies the webpages identify). Additionally you must incorporate numerical data from both web pages into the argument.
·
Conclusion. The conclusion is a summary of your ENTIRE document. It summarizes what you have done to support you thesis, and includes a reworded restatement of your thesis. It ends with a reminder to the readers of the importance of all of this for their professional future.
·
Reference List. The document will end with an
APA formatted reference list Links to an external site.
Links to an external site.
with a minimum of four (4) references. Each source on the reference list must have at least one
APA formatted in-text citation Links to an external site.
in your document. Citations are required any place in your document where you have used the ideas, data, or images of others.
Word Count: 1000 – 1400 words (not including the reference list.) This is a guide and is most important at the lower end; if your document is shorter than 1000 words, it is likely that it is lacking the detail needed.
For preliminary
Element 1: The Use of Statistics In [Your Field] * –
You may work with other students in your major on selecting uses, finding sources, and completing APA in-text citations and your reference list for this part of the assignment. However, writing your document MUST be completed individually.
Review the
Probability and Statistics in Engineering and Computer Science
Download Probability and Statistics in Engineering and Computer Science
article and resources to develop an understanding of the ways in which your field/major*** uses probability and statistics in the work done. Select 3 applications or tasks that are relevant to your field to research in more detail. To write this well you will need at least one source that helps you identify tasks that are accomplished using probability and statistics in your field, sources to help you describe the tasks, and sources to help you describe how probability and/or statistics are used to enable accomplishing the task. These sources should provide you with information that will allow you to develop 3 clearly presented examples of how probability and statistics are used in your field.
· You must use** a minimum of 4 cited sources for this section. However, you must also have sources to support what you say, which may require you to use additional sources.
*The Use of brackets indicates that you will replace the brackets and the words inside with ones that are appropriate to you and your work.
**Using a source means that you are synthesizing the ideas from the work of another into the original ideas you are putting forward in your work. You will have at least one in-text citation and reference list item using APA formatting for each source. Adding sources to the reference list without an in-text citation will result in no credit for that source.
***This section of the assignment has one required source. A minimum of three sources are required for this section which may come from the resources list or other CREDIBLE sources. Wikipedia may not be used as a source BUT its reference lists may be checked for credible sources.
****USF College of Engineering Majors are departments or major topic areas in departments, they include: Biomedical engineering, chemical engineering, civil engineering, structural engineering, environmental engineering, transportation engineering, computer science, computer engineering, cybersecurity, electrical engineering, industrial engineering, and mechanical engineering
Work to Submit. Complete all of the required information for each source you will use.
Element 2: Probability and Statistics Literacy will Enhance Your Employability.
For this section of your document you will read, interpret, and use descriptive statistics to make an argument that proficiency with probability and statistics will help students get a job when they graduate using the sources provided, these are:
The Four Career Competencies Employers Value Most
Links to an external site.
by NACE Staff
Are College Graduates “Career Ready”?
Links to an external site.
by NACE Staff
You must incorporate data from both sources, meaning you will have at least two points to make with the data as part of this section.
Work to Submit: For this part of the assignment, you will complete the following for each source you use, including the four provided.
· An APA formatted reference list item
· An in-text citation formatted in APA format
· For each source, a brief explanation of
1. What data from each document you will use to support your argument. You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument. For the source you use for the definition of the competencies list the competency or competencies you believe you will enhance in the probability and statistics course. You may not select all as being relevant to this course, you must think about, and make a choice about which competencies are core learning outcomes of this course and make an argument to support that.
2. How you will use the numerical data to support your argument. For the source you use for the definition of the competencies you will describe the way you will incorporate an understanding of the competency into your final document.
Element 3: Reference List (You may work with your assigned groups to complete the reference list.)
Work to Submit: Using the reference list items from above and any extra sources you plan to use, create an APA formatted reference list. You will have a minimum of 4 sources. It is important that your reference listings have the correct information, in the correct order, and that the items and list are formatted correctly. For the reference section, make sure the listings are alphabetized so they can be easily found. Use the APA formatting resources in your reading to help you with this. BEWARE: citation generators are often wrong; you can start with them BUT must revise any that are incorrect.
Element 4: Engaging Your Audience
For this section you will
1. Think about and describe a significant, shared aspirational goal or goals of young professionals entering the field. This goal will be something you can use to engage your readers as you start the document. In the example you will see for architecture students this is to design iconic buildings.
2. Develop a
thesis statement
Name: Herta Ayrton
Element 1: Use of Statistics in architecture
Source 1:
In-text citation
(Carbonnier, 2020)
Reference Listing for this source
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. HCM
Architects. https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
new-normal-2020-04-03/
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article defines zero net energy buildings and design strategies. It explains how
statistics are collected from IoT data sources and used in GIS to inform building form and
location decisions to maximize energy performance by evaluating sun, wind, and light. I will be
using Zero Net Energy buildings as an example of the use of statistics in the design phase of an
architectural design process.
Source 2:
In-text citation
(Gobes-Ryan, 2022)
Reference Listing for this source
Gobes-Ryan, S. (2022). The importance of probability and statistics in engineering and computer
science. https://usflearn.instructure.com/courses/1664254/pages/the-importance-of-
probability-and-statistics-in-engineering-and-computer-science
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article provides insight into how probability and statistics are used across many of the
disciplines in our college.
https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
Source 3:
In-text citation
(Goy, Maréchal, & Finn, 2020)
Reference Listing for this source
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modeling:
Assessing impacts and overcoming availability challenges. Energies (Basel), 13(16)
4244. doi: 10.3390/en13164244
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article addresses the use of data in building energy modeling and where there are gaps
in the data. This is the most essential source I have for understanding how data is used in
building energy modeling.
Element 2: Probability and Statistics Literacy will Enhance Your
Employability examples are not provided for this section; the questions are
straightforward
What statistical parameters are you able to determine in the data provided?
Given the type of data you are provided, and the question being asked is the mean or median the
most appropriate measure of location to use? Why?
Is a measure of spread important to the question being ask? Why or why not?
Is the data provided
Discrete OR Continuous
Numerical OR Categorical
Of the data provided, which important skill(s) will you hone within the math part of your
statistics course? How is this connected to having probability and statistics proficiency?
What two categories of data are provided in the data set?
How can each of these be used to support the case you will make in the IDL 1 Final?
Develop a table that is clear, easy to read and is organized to highlight the most important data to
your argument.
Element 3: Reference list
Hints: Reference lists in APA format are organized alphabetically by the first letter of the
reference item. This is done to make it easy for readers to find as the in-text citation starts with
the same words/names
Reference List
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. HCM
Architects. https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
new-normal-2020-04-03/
Gobes-Ryan, S. (2022). The importance of probability and statistics in engineering and computer
science. https://usflearn.instructure.com/courses/1664254/pages/the-importance-of-
probability-and-statistics-in-engineering-and-computer-science
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modelling:
Assessing impacts and overcoming availability challenges. Energies (Basel), 13(16)
4244. doi: 10.3390/en13164244
Element 4: Appealing to your audience
Describe the aspirational goal of a professional in your field
create iconic buildings
Develop a preliminary thesis statement for your document? (What is it about and
why does that matter?)
Probability and statistics proficiencies are essential skills for those who aim to create the high
performing architecture possible for our generation.
Sheila Gobes-Ryan 1
Probability and Statistics are the Foundation
for Building Your Architectural Career
Introduction
As future architects, we all dream of creating iconic buildings that result in professional recognition
and financial success. Increases in ‘big data’ and the technologies to analyze these data sets more
effectively make it possible to improve the quality of our designs in significant ways during the
design process. However, to integrate these big-data benefits into our design solutions, we need to
become proficient in probability and statistics while in school.
To illustrate this to you, I will describe how probability and statistics are used in architectural
design and show that this skill will help start your career when you graduate. First, I will discuss the
uses of probability and statistics for improving the outcomes of several phases of architectural
projects. Then I will talk to you about the importance of having the skill to complete data analysis
when starting your career.
The Use of Probability and Statistics in Architecture
Design Phase Use of Probability and Statistics
Architects use probability and statistics during different phases of projects to improve and evaluate
the effectiveness of their built projects. In the following sections, I will present the use of
probability and statistics in four project phases:
1. Architects use probability and statistics during site selection to analyze relevant data.
2. In pre-design, they analyze client needs and evaluate their client’s industry space use trends.
3. During design, they assess the layout and material options against existing performance data.
4. In post-occupancy, they evaluate the performance of the space against project goals,
comparable properties, and performance standards and requirements.
By integrating data-driven decisions into the design process, architects can be confident that they
will achieve the high client satisfaction needed for financial success.
Probability and Statistics in Site Selection
An organization’s selection of location impacts many aspects of business success. The decision
may be which city to locate in, what city section to move to, or what specific property to occupy.
However, for each decision, organizations must consider a wide range of business impacts that
location choices can have and if these will be positive or negative for their business. With statistical
and probabilistic analysis, architects can present the business impacts of many factors based on
current data and predicting how many factors are likely to develop in the future. These factors
include access to employees with the necessary skills, proximity to clients or customers, local cost
of living and expected wages, and commute time and transportation access for employees.
Sheila Gobes-Ryan 2
Architects can use these analyses to combine client data, publicly available data, and mobile device
data to make data-driven site selection decisions (Intalytic, 2021). With this, architects provide
their clients with better business outcomes.
Probability and Statistics in Pre-Design
Architects collect and evaluate data statistically during the pre-design stage to determine building
space needs (Vangelatos, 2018) currently and into the future. Input from client interviews and
surveys, company growth projections, and industry benchmarks are all integrated into space needs
and acquisition decisions. Client organizations will rely on the dependability of this work as they
sign leases that extend for years or sometimes decades.
Probability and Statistics in the Design Phase
During the design phase, architects make decisions on materials and building systems so that
projects meet current regulations for things such as energy and water use (Yaglewad, 2020).
Additionally, we are often required to go beyond this to meet standards like the LEEDS
Sustainable Buildings Certification and Zero Net Energy (Carbonnier, 2020). Our ability to run
virtual simulations that statistically evaluate and present a wide range of design, material, and
construction options is critical to our success in this phase. These simulations integrate physics and
statistics to provide sophisticated examinations of building performance of various design choices.
Findings from these simulations allow architects to make changes to improve building performance
before anything is built (Goy, Maréchal, and Finn, 2020).
Post Occupancy Evaluations with Probability and Statistics
After clients move into buildings, sensors connected to the internet can measure and evaluate
actual building performance (Davis, 2015). Owners can assess building performance against
building code requirements and targeted certification programs, such as LEED (Davis, 2015).
With the decrease in the cost of monitoring systems, building owners and occupants are using
these systems to collect and evaluate data on building use and building systems performance in
increasingly complex ways. Vendors of building systems components are creating sophisticated
data visualizations to present this data in easy-to-understand formats.
Clients are using these analyses to move toward performance-based contracts with architects.
These contracts hold back part of the design fees until clients evaluate the buildings resulting from
an architect’s design against required performance standards (Davis, 2015). To get the
compensation they are due, architects’ pre-design systems of evaluation must match the post-
occupancy performance of the resulting buildings. As a result, architects now have a significant
financial stake in the accuracy of the probability and statistical analyses they complete.
Sheila Gobes-Ryan 3
Probability and Statistics Literacy will Enhance Your Employability
You may be thinking that this is a skill set you can skip and allow others to bring to architectural
firms. However, recent data from the National Architectural Education Association (NAEA)
(2020) suggests you should think again about this.
Surveys completed across 2,456 participating architectural practices show that 93% of these firms
of all sizes use statistical data in multiple phases of their design work. For this reason, 85% of these
firms identified data literacy as a skill they consider significant for new employees. This skill
ranked higher in importance than traditional skills such as CAD proficiency. In follow-up
interviews with 200 firm leaders, 87% identified recent graduates’ data literacy as inadequate for the
work demands of entry-level positions. This deficiency did not align with the finding that 70% of
architecture school faculty believed they were preparing their students for the data literacy
demands of the profession. Most challenging was that only 17% of architecture students identified
data literacy as a necessary professional skill (NAEA, 2020).
This data suggest that architecture programs are not preparing students for the data literacy
demands of their profession. Conversely, this preparation deficit provides a distinct advantage for
architecture students who become data literate and familiar with the uses of data analysis in their
professional lives.
Conclusion
This document discusses the many phases of architectural design work in which probability and
statistics play a role. They are first used to evaluate different options for siting a project. Then to
document building needs into the future. During the following phase of work, architects run many
design choices through simulations that evaluate and present various design choices in building
performance. Finally, owners use probability and statistics to collect data and analyze building
performance outcomes. Clients are frequently connecting these outcomes to completing payment
of architectural contracts. For this reason, as with many fields, using and evaluating data in a wide
range of probability and statistics applications is a skill that employers have indicated is critical.
When we prepare to graduate, we now know this is a skill we must have to start on a path of
financial and professional success
References
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. Retrieved
from https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-new-
normal-2020-04-03/
Chilton, J. J. & Baldry, D. (1997). The effects of integrated workplace strategies on commercial
office space. Facilities, 15(7/8), 187-194. doi: 10.1108/02632779710168227
Davis, D. (2015, April 23). How big data is transforming architecture.: The phenomenon presents
hug opportunities for the built environment and the firms that design it. Architect.
Sheila Gobes-Ryan 4
Retrieved from https://www.architectmagazine.com/technology/how-big-data-is-
transforming-architecture_o
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modelling:
Assessing impacts and overcoming availability challenges. Energies 13. doi:
10.3390/en13164244
Intalytics, (2021). Precise recommendations back by sound science. Kalibrate Company.
https://intalytics.com/real-estate-solutions/
Vangelatos, G. (2018, October 12). How architects help increase patient satisfaction in healthcare
through building design.
Yaglewad, S. (2020, May 19). How is statistics used in architecture? What After College. Retrieved
from https://whataftercollege.com/data-science/statistics-used-in-
architecture/#:~:text=How%20is%20Statistics%20used%20in%20Architecture%3F&text=W
hen%20an%20architectural%20project%20is,use%20for%20the%20end%2Dusers.
https://www.architectmagazine.com/technology/how-big-data-is-transforming-architecture_o
https://www.architectmagazine.com/technology/how-big-data-is-transforming-architecture_o
- You may be thinking that this is a skill set you can skip and allow others to bring to architectural firms. However, recent data from the National Architectural Education Association (NAEA) (2020) suggests you should think again about this.
- Surveys completed across 2,456 participating architectural practices show that 93% of these firms of all sizes use statistical data in multiple phases of their design work. For this reason, 85% of these firms identified data literacy as a skill they c…
- This data suggest that architecture programs are not preparing students for the data literacy demands of their profession. Conversely, this preparation deficit provides a distinct advantage for architecture students who become data literate and famili…
Your Title Here
Introduction
Text of your Introduction here.
The Use of Probability and Statistics in [Your Field/Department]
Text of this section
Subtitles if Used
Text of this section
Probability and Statistics Literacy will Enhance Your Employability
Text of this section
Conclusion
Text of your Introduction here.
References
1
image1
Name:
Element 1: Use of Statistics in [Your field]
Source 1:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 2:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 3:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 4:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Element 2: Probability and Statistics Literacy will Enhance Your Employability
Source 1
In-text citation
Reference Listing for this source
What data from each document you will use to support your argument? You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument
How you will use the numerical data to support your argument.
Source 2
In-text citation
Reference Listing for this source
What data from each document you will use to support your argument? You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument
How you will use the numerical data to support your argument.
Element 3: Reference List (remember to alphabetize the reference list by the first name or word in the reference item.)
Element 4: Engaging your Audience
Something Aspirational to start your document
Thesis Statement
For final
Your document purpose is to persuade first year students in your field of the importance of probability and statistics to your field (department or program).
The tone of this document is to be professional, but accessible. Important considerations for a well written document include:
· Flow at the document, paragraph and sentence level.
· Using topic sentences in each section.
· Using section headers and sub-headers, as identified below and shown in the example document.
You may refer to the
professional and general writing
resources page for tools to help with your writing. You may also work with the
Writing Studio Links to an external site.
at the USF Library; this requires planning, as it is best to have an appointment to be assured of having someone to work with.
You will include the following sections:
·
A Document Title. Document titles must briefly and precisely indicate the topic of the document. Ideally, it is also something that will catch the readers’ attention.
·
Introduction. The
introduction Links to an external site.
must accomplish the following:
· Introduces the audience to the topic and its importance. Given the audience you are writing to, first-person is appropriate, as it is your experience as a more advanced student that makes you credible.
Consider as you finalize your introduction, that the USF students you are writing to are diverse in many ways, including in age, life/professional experience, and cultural background. You must speak to all of them, not just to the ones that are like you.
· Includes a
thesis statement
Links to an external site.
that makes the primary claim you will argue in this handout and what you will say about it.
· States how you will use the document to support your argument.
· Present this in a concise, clear paragraph that makes the reader want to read your handout.
After you complete the body of your document, review your introduction to make sure it accurately states what you accomplished with the document. Revise the document as needed to make sure the introduction and the document body work together.
·
The Use of Statistics in [Your Field]. Using the information that you found in the preliminary phase of this assignment, develop this section. This section will start with an introductory paragraph giving students an overview of the different work aspects you will address. This is followed by 3 subsections (with sub-titles) describing the specific aspects of work for which statistics are used and then discussing specifically how probability or statistics enables the work to be accomplished. This section must have in-text citations to demonstrate you have researched the topic using credible sources.
·
Probability and Statistics Literacy will Enhance Your Employability. Develop a written argument using the data provided to indicate how proficiency in probability and statistics will help to develop competency/competencies employers find look for when hiring recent college graduates. Select only the competency or competencies that are core learning outcomes to this course, (you may not use all of the competencies the webpages identify). Additionally you must incorporate numerical data from both web pages into the argument.
·
Conclusion. The conclusion is a summary of your ENTIRE document. It summarizes what you have done to support you thesis, and includes a reworded restatement of your thesis. It ends with a reminder to the readers of the importance of all of this for their professional future.
·
Reference List. The document will end with an
APA formatted reference list Links to an external site.
Links to an external site.
with a minimum of four (4) references. Each source on the reference list must have at least one
APA formatted in-text citation Links to an external site.
in your document. Citations are required any place in your document where you have used the ideas, data, or images of others.
Word Count: 1000 – 1400 words (not including the reference list.) This is a guide and is most important at the lower end; if your document is shorter than 1000 words, it is likely that it is lacking the detail needed.
For preliminary
Element 1: The Use of Statistics In [Your Field] * –
You may work with other students in your major on selecting uses, finding sources, and completing APA in-text citations and your reference list for this part of the assignment. However, writing your document MUST be completed individually.
Review the
Probability and Statistics in Engineering and Computer Science
Download Probability and Statistics in Engineering and Computer Science
article and resources to develop an understanding of the ways in which your field/major*** uses probability and statistics in the work done. Select 3 applications or tasks that are relevant to your field to research in more detail. To write this well you will need at least one source that helps you identify tasks that are accomplished using probability and statistics in your field, sources to help you describe the tasks, and sources to help you describe how probability and/or statistics are used to enable accomplishing the task. These sources should provide you with information that will allow you to develop 3 clearly presented examples of how probability and statistics are used in your field.
· You must use** a minimum of 4 cited sources for this section. However, you must also have sources to support what you say, which may require you to use additional sources.
*The Use of brackets indicates that you will replace the brackets and the words inside with ones that are appropriate to you and your work.
**Using a source means that you are synthesizing the ideas from the work of another into the original ideas you are putting forward in your work. You will have at least one in-text citation and reference list item using APA formatting for each source. Adding sources to the reference list without an in-text citation will result in no credit for that source.
***This section of the assignment has one required source. A minimum of three sources are required for this section which may come from the resources list or other CREDIBLE sources. Wikipedia may not be used as a source BUT its reference lists may be checked for credible sources.
****USF College of Engineering Majors are departments or major topic areas in departments, they include: Biomedical engineering, chemical engineering, civil engineering, structural engineering, environmental engineering, transportation engineering, computer science, computer engineering, cybersecurity, electrical engineering, industrial engineering, and mechanical engineering
Work to Submit. Complete all of the required information for each source you will use.
Element 2: Probability and Statistics Literacy will Enhance Your Employability.
For this section of your document you will read, interpret, and use descriptive statistics to make an argument that proficiency with probability and statistics will help students get a job when they graduate using the sources provided, these are:
The Four Career Competencies Employers Value Most
Links to an external site.
by NACE Staff
Are College Graduates “Career Ready”?
Links to an external site.
by NACE Staff
You must incorporate data from both sources, meaning you will have at least two points to make with the data as part of this section.
Work to Submit: For this part of the assignment, you will complete the following for each source you use, including the four provided.
· An APA formatted reference list item
· An in-text citation formatted in APA format
· For each source, a brief explanation of
1. What data from each document you will use to support your argument. You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument. For the source you use for the definition of the competencies list the competency or competencies you believe you will enhance in the probability and statistics course. You may not select all as being relevant to this course, you must think about, and make a choice about which competencies are core learning outcomes of this course and make an argument to support that.
2. How you will use the numerical data to support your argument. For the source you use for the definition of the competencies you will describe the way you will incorporate an understanding of the competency into your final document.
Element 3: Reference List (You may work with your assigned groups to complete the reference list.)
Work to Submit: Using the reference list items from above and any extra sources you plan to use, create an APA formatted reference list. You will have a minimum of 4 sources. It is important that your reference listings have the correct information, in the correct order, and that the items and list are formatted correctly. For the reference section, make sure the listings are alphabetized so they can be easily found. Use the APA formatting resources in your reading to help you with this. BEWARE: citation generators are often wrong; you can start with them BUT must revise any that are incorrect.
Element 4: Engaging Your Audience
For this section you will
1. Think about and describe a significant, shared aspirational goal or goals of young professionals entering the field. This goal will be something you can use to engage your readers as you start the document. In the example you will see for architecture students this is to design iconic buildings.
2. Develop a
thesis statement
Name: Herta Ayrton
Element 1: Use of Statistics in architecture
Source 1:
In-text citation
(Carbonnier, 2020)
Reference Listing for this source
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. HCM
Architects. https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
new-normal-2020-04-03/
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article defines zero net energy buildings and design strategies. It explains how
statistics are collected from IoT data sources and used in GIS to inform building form and
location decisions to maximize energy performance by evaluating sun, wind, and light. I will be
using Zero Net Energy buildings as an example of the use of statistics in the design phase of an
architectural design process.
Source 2:
In-text citation
(Gobes-Ryan, 2022)
Reference Listing for this source
Gobes-Ryan, S. (2022). The importance of probability and statistics in engineering and computer
science. https://usflearn.instructure.com/courses/1664254/pages/the-importance-of-
probability-and-statistics-in-engineering-and-computer-science
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article provides insight into how probability and statistics are used across many of the
disciplines in our college.
https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
Source 3:
In-text citation
(Goy, Maréchal, & Finn, 2020)
Reference Listing for this source
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modeling:
Assessing impacts and overcoming availability challenges. Energies (Basel), 13(16)
4244. doi: 10.3390/en13164244
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article addresses the use of data in building energy modeling and where there are gaps
in the data. This is the most essential source I have for understanding how data is used in
building energy modeling.
Element 2: Probability and Statistics Literacy will Enhance Your
Employability examples are not provided for this section; the questions are
straightforward
What statistical parameters are you able to determine in the data provided?
Given the type of data you are provided, and the question being asked is the mean or median the
most appropriate measure of location to use? Why?
Is a measure of spread important to the question being ask? Why or why not?
Is the data provided
Discrete OR Continuous
Numerical OR Categorical
Of the data provided, which important skill(s) will you hone within the math part of your
statistics course? How is this connected to having probability and statistics proficiency?
What two categories of data are provided in the data set?
How can each of these be used to support the case you will make in the IDL 1 Final?
Develop a table that is clear, easy to read and is organized to highlight the most important data to
your argument.
Element 3: Reference list
Hints: Reference lists in APA format are organized alphabetically by the first letter of the
reference item. This is done to make it easy for readers to find as the in-text citation starts with
the same words/names
Reference List
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. HCM
Architects. https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
new-normal-2020-04-03/
Gobes-Ryan, S. (2022). The importance of probability and statistics in engineering and computer
science. https://usflearn.instructure.com/courses/1664254/pages/the-importance-of-
probability-and-statistics-in-engineering-and-computer-science
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modelling:
Assessing impacts and overcoming availability challenges. Energies (Basel), 13(16)
4244. doi: 10.3390/en13164244
Element 4: Appealing to your audience
Describe the aspirational goal of a professional in your field
create iconic buildings
Develop a preliminary thesis statement for your document? (What is it about and
why does that matter?)
Probability and statistics proficiencies are essential skills for those who aim to create the high
performing architecture possible for our generation.
Sheila Gobes-Ryan 1
Probability and Statistics are the Foundation
for Building Your Architectural Career
Introduction
As future architects, we all dream of creating iconic buildings that result in professional recognition
and financial success. Increases in ‘big data’ and the technologies to analyze these data sets more
effectively make it possible to improve the quality of our designs in significant ways during the
design process. However, to integrate these big-data benefits into our design solutions, we need to
become proficient in probability and statistics while in school.
To illustrate this to you, I will describe how probability and statistics are used in architectural
design and show that this skill will help start your career when you graduate. First, I will discuss the
uses of probability and statistics for improving the outcomes of several phases of architectural
projects. Then I will talk to you about the importance of having the skill to complete data analysis
when starting your career.
The Use of Probability and Statistics in Architecture
Design Phase Use of Probability and Statistics
Architects use probability and statistics during different phases of projects to improve and evaluate
the effectiveness of their built projects. In the following sections, I will present the use of
probability and statistics in four project phases:
1. Architects use probability and statistics during site selection to analyze relevant data.
2. In pre-design, they analyze client needs and evaluate their client’s industry space use trends.
3. During design, they assess the layout and material options against existing performance data.
4. In post-occupancy, they evaluate the performance of the space against project goals,
comparable properties, and performance standards and requirements.
By integrating data-driven decisions into the design process, architects can be confident that they
will achieve the high client satisfaction needed for financial success.
Probability and Statistics in Site Selection
An organization’s selection of location impacts many aspects of business success. The decision
may be which city to locate in, what city section to move to, or what specific property to occupy.
However, for each decision, organizations must consider a wide range of business impacts that
location choices can have and if these will be positive or negative for their business. With statistical
and probabilistic analysis, architects can present the business impacts of many factors based on
current data and predicting how many factors are likely to develop in the future. These factors
include access to employees with the necessary skills, proximity to clients or customers, local cost
of living and expected wages, and commute time and transportation access for employees.
Sheila Gobes-Ryan 2
Architects can use these analyses to combine client data, publicly available data, and mobile device
data to make data-driven site selection decisions (Intalytic, 2021). With this, architects provide
their clients with better business outcomes.
Probability and Statistics in Pre-Design
Architects collect and evaluate data statistically during the pre-design stage to determine building
space needs (Vangelatos, 2018) currently and into the future. Input from client interviews and
surveys, company growth projections, and industry benchmarks are all integrated into space needs
and acquisition decisions. Client organizations will rely on the dependability of this work as they
sign leases that extend for years or sometimes decades.
Probability and Statistics in the Design Phase
During the design phase, architects make decisions on materials and building systems so that
projects meet current regulations for things such as energy and water use (Yaglewad, 2020).
Additionally, we are often required to go beyond this to meet standards like the LEEDS
Sustainable Buildings Certification and Zero Net Energy (Carbonnier, 2020). Our ability to run
virtual simulations that statistically evaluate and present a wide range of design, material, and
construction options is critical to our success in this phase. These simulations integrate physics and
statistics to provide sophisticated examinations of building performance of various design choices.
Findings from these simulations allow architects to make changes to improve building performance
before anything is built (Goy, Maréchal, and Finn, 2020).
Post Occupancy Evaluations with Probability and Statistics
After clients move into buildings, sensors connected to the internet can measure and evaluate
actual building performance (Davis, 2015). Owners can assess building performance against
building code requirements and targeted certification programs, such as LEED (Davis, 2015).
With the decrease in the cost of monitoring systems, building owners and occupants are using
these systems to collect and evaluate data on building use and building systems performance in
increasingly complex ways. Vendors of building systems components are creating sophisticated
data visualizations to present this data in easy-to-understand formats.
Clients are using these analyses to move toward performance-based contracts with architects.
These contracts hold back part of the design fees until clients evaluate the buildings resulting from
an architect’s design against required performance standards (Davis, 2015). To get the
compensation they are due, architects’ pre-design systems of evaluation must match the post-
occupancy performance of the resulting buildings. As a result, architects now have a significant
financial stake in the accuracy of the probability and statistical analyses they complete.
Sheila Gobes-Ryan 3
Probability and Statistics Literacy will Enhance Your Employability
You may be thinking that this is a skill set you can skip and allow others to bring to architectural
firms. However, recent data from the National Architectural Education Association (NAEA)
(2020) suggests you should think again about this.
Surveys completed across 2,456 participating architectural practices show that 93% of these firms
of all sizes use statistical data in multiple phases of their design work. For this reason, 85% of these
firms identified data literacy as a skill they consider significant for new employees. This skill
ranked higher in importance than traditional skills such as CAD proficiency. In follow-up
interviews with 200 firm leaders, 87% identified recent graduates’ data literacy as inadequate for the
work demands of entry-level positions. This deficiency did not align with the finding that 70% of
architecture school faculty believed they were preparing their students for the data literacy
demands of the profession. Most challenging was that only 17% of architecture students identified
data literacy as a necessary professional skill (NAEA, 2020).
This data suggest that architecture programs are not preparing students for the data literacy
demands of their profession. Conversely, this preparation deficit provides a distinct advantage for
architecture students who become data literate and familiar with the uses of data analysis in their
professional lives.
Conclusion
This document discusses the many phases of architectural design work in which probability and
statistics play a role. They are first used to evaluate different options for siting a project. Then to
document building needs into the future. During the following phase of work, architects run many
design choices through simulations that evaluate and present various design choices in building
performance. Finally, owners use probability and statistics to collect data and analyze building
performance outcomes. Clients are frequently connecting these outcomes to completing payment
of architectural contracts. For this reason, as with many fields, using and evaluating data in a wide
range of probability and statistics applications is a skill that employers have indicated is critical.
When we prepare to graduate, we now know this is a skill we must have to start on a path of
financial and professional success
References
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. Retrieved
from https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-new-
normal-2020-04-03/
Chilton, J. J. & Baldry, D. (1997). The effects of integrated workplace strategies on commercial
office space. Facilities, 15(7/8), 187-194. doi: 10.1108/02632779710168227
Davis, D. (2015, April 23). How big data is transforming architecture.: The phenomenon presents
hug opportunities for the built environment and the firms that design it. Architect.
Sheila Gobes-Ryan 4
Retrieved from https://www.architectmagazine.com/technology/how-big-data-is-
transforming-architecture_o
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modelling:
Assessing impacts and overcoming availability challenges. Energies 13. doi:
10.3390/en13164244
Intalytics, (2021). Precise recommendations back by sound science. Kalibrate Company.
https://intalytics.com/real-estate-solutions/
Vangelatos, G. (2018, October 12). How architects help increase patient satisfaction in healthcare
through building design.
Yaglewad, S. (2020, May 19). How is statistics used in architecture? What After College. Retrieved
from https://whataftercollege.com/data-science/statistics-used-in-
architecture/#:~:text=How%20is%20Statistics%20used%20in%20Architecture%3F&text=W
hen%20an%20architectural%20project%20is,use%20for%20the%20end%2Dusers.
https://www.architectmagazine.com/technology/how-big-data-is-transforming-architecture_o
https://www.architectmagazine.com/technology/how-big-data-is-transforming-architecture_o
- You may be thinking that this is a skill set you can skip and allow others to bring to architectural firms. However, recent data from the National Architectural Education Association (NAEA) (2020) suggests you should think again about this.
- Surveys completed across 2,456 participating architectural practices show that 93% of these firms of all sizes use statistical data in multiple phases of their design work. For this reason, 85% of these firms identified data literacy as a skill they c…
- This data suggest that architecture programs are not preparing students for the data literacy demands of their profession. Conversely, this preparation deficit provides a distinct advantage for architecture students who become data literate and famili…
Your Title Here
Introduction
Text of your Introduction here.
The Use of Probability and Statistics in [Your Field/Department]
Text of this section
Subtitles if Used
Text of this section
Probability and Statistics Literacy will Enhance Your Employability
Text of this section
Conclusion
Text of your Introduction here.
References
1
image1
Name:
Element 1: Use of Statistics in [Your field]
Source 1:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 2:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 3:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 4:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Element 2: Probability and Statistics Literacy will Enhance Your Employability
Source 1
In-text citation
Reference Listing for this source
What data from each document you will use to support your argument? You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument
How you will use the numerical data to support your argument.
Source 2
In-text citation
Reference Listing for this source
What data from each document you will use to support your argument? You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument
How you will use the numerical data to support your argument.
Element 3: Reference List (remember to alphabetize the reference list by the first name or word in the reference item.)
Element 4: Engaging your Audience
Something Aspirational to start your document
Thesis Statement
For final
Your document purpose is to persuade first year students in your field of the importance of probability and statistics to your field (department or program).
The tone of this document is to be professional, but accessible. Important considerations for a well written document include:
· Flow at the document, paragraph and sentence level.
· Using topic sentences in each section.
· Using section headers and sub-headers, as identified below and shown in the example document.
You may refer to the
professional and general writing
resources page for tools to help with your writing. You may also work with the
Writing Studio Links to an external site.
at the USF Library; this requires planning, as it is best to have an appointment to be assured of having someone to work with.
You will include the following sections:
·
A Document Title. Document titles must briefly and precisely indicate the topic of the document. Ideally, it is also something that will catch the readers’ attention.
·
Introduction. The
introduction Links to an external site.
must accomplish the following:
· Introduces the audience to the topic and its importance. Given the audience you are writing to, first-person is appropriate, as it is your experience as a more advanced student that makes you credible.
Consider as you finalize your introduction, that the USF students you are writing to are diverse in many ways, including in age, life/professional experience, and cultural background. You must speak to all of them, not just to the ones that are like you.
· Includes a
thesis statement
Links to an external site.
that makes the primary claim you will argue in this handout and what you will say about it.
· States how you will use the document to support your argument.
· Present this in a concise, clear paragraph that makes the reader want to read your handout.
After you complete the body of your document, review your introduction to make sure it accurately states what you accomplished with the document. Revise the document as needed to make sure the introduction and the document body work together.
·
The Use of Statistics in [Your Field]. Using the information that you found in the preliminary phase of this assignment, develop this section. This section will start with an introductory paragraph giving students an overview of the different work aspects you will address. This is followed by 3 subsections (with sub-titles) describing the specific aspects of work for which statistics are used and then discussing specifically how probability or statistics enables the work to be accomplished. This section must have in-text citations to demonstrate you have researched the topic using credible sources.
·
Probability and Statistics Literacy will Enhance Your Employability. Develop a written argument using the data provided to indicate how proficiency in probability and statistics will help to develop competency/competencies employers find look for when hiring recent college graduates. Select only the competency or competencies that are core learning outcomes to this course, (you may not use all of the competencies the webpages identify). Additionally you must incorporate numerical data from both web pages into the argument.
·
Conclusion. The conclusion is a summary of your ENTIRE document. It summarizes what you have done to support you thesis, and includes a reworded restatement of your thesis. It ends with a reminder to the readers of the importance of all of this for their professional future.
·
Reference List. The document will end with an
APA formatted reference list Links to an external site.
Links to an external site.
with a minimum of four (4) references. Each source on the reference list must have at least one
APA formatted in-text citation Links to an external site.
in your document. Citations are required any place in your document where you have used the ideas, data, or images of others.
Word Count: 1000 – 1400 words (not including the reference list.) This is a guide and is most important at the lower end; if your document is shorter than 1000 words, it is likely that it is lacking the detail needed.
For preliminary
Element 1: The Use of Statistics In [Your Field] * –
You may work with other students in your major on selecting uses, finding sources, and completing APA in-text citations and your reference list for this part of the assignment. However, writing your document MUST be completed individually.
Review the
Probability and Statistics in Engineering and Computer Science
Download Probability and Statistics in Engineering and Computer Science
article and resources to develop an understanding of the ways in which your field/major*** uses probability and statistics in the work done. Select 3 applications or tasks that are relevant to your field to research in more detail. To write this well you will need at least one source that helps you identify tasks that are accomplished using probability and statistics in your field, sources to help you describe the tasks, and sources to help you describe how probability and/or statistics are used to enable accomplishing the task. These sources should provide you with information that will allow you to develop 3 clearly presented examples of how probability and statistics are used in your field.
· You must use** a minimum of 4 cited sources for this section. However, you must also have sources to support what you say, which may require you to use additional sources.
*The Use of brackets indicates that you will replace the brackets and the words inside with ones that are appropriate to you and your work.
**Using a source means that you are synthesizing the ideas from the work of another into the original ideas you are putting forward in your work. You will have at least one in-text citation and reference list item using APA formatting for each source. Adding sources to the reference list without an in-text citation will result in no credit for that source.
***This section of the assignment has one required source. A minimum of three sources are required for this section which may come from the resources list or other CREDIBLE sources. Wikipedia may not be used as a source BUT its reference lists may be checked for credible sources.
****USF College of Engineering Majors are departments or major topic areas in departments, they include: Biomedical engineering, chemical engineering, civil engineering, structural engineering, environmental engineering, transportation engineering, computer science, computer engineering, cybersecurity, electrical engineering, industrial engineering, and mechanical engineering
Work to Submit. Complete all of the required information for each source you will use.
Element 2: Probability and Statistics Literacy will Enhance Your Employability.
For this section of your document you will read, interpret, and use descriptive statistics to make an argument that proficiency with probability and statistics will help students get a job when they graduate using the sources provided, these are:
The Four Career Competencies Employers Value Most
Links to an external site.
by NACE Staff
Are College Graduates “Career Ready”?
Links to an external site.
by NACE Staff
You must incorporate data from both sources, meaning you will have at least two points to make with the data as part of this section.
Work to Submit: For this part of the assignment, you will complete the following for each source you use, including the four provided.
· An APA formatted reference list item
· An in-text citation formatted in APA format
· For each source, a brief explanation of
1. What data from each document you will use to support your argument. You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument. For the source you use for the definition of the competencies list the competency or competencies you believe you will enhance in the probability and statistics course. You may not select all as being relevant to this course, you must think about, and make a choice about which competencies are core learning outcomes of this course and make an argument to support that.
2. How you will use the numerical data to support your argument. For the source you use for the definition of the competencies you will describe the way you will incorporate an understanding of the competency into your final document.
Element 3: Reference List (You may work with your assigned groups to complete the reference list.)
Work to Submit: Using the reference list items from above and any extra sources you plan to use, create an APA formatted reference list. You will have a minimum of 4 sources. It is important that your reference listings have the correct information, in the correct order, and that the items and list are formatted correctly. For the reference section, make sure the listings are alphabetized so they can be easily found. Use the APA formatting resources in your reading to help you with this. BEWARE: citation generators are often wrong; you can start with them BUT must revise any that are incorrect.
Element 4: Engaging Your Audience
For this section you will
1. Think about and describe a significant, shared aspirational goal or goals of young professionals entering the field. This goal will be something you can use to engage your readers as you start the document. In the example you will see for architecture students this is to design iconic buildings.
2. Develop a
thesis statement
Name: Herta Ayrton
Element 1: Use of Statistics in architecture
Source 1:
In-text citation
(Carbonnier, 2020)
Reference Listing for this source
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. HCM
Architects. https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
new-normal-2020-04-03/
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article defines zero net energy buildings and design strategies. It explains how
statistics are collected from IoT data sources and used in GIS to inform building form and
location decisions to maximize energy performance by evaluating sun, wind, and light. I will be
using Zero Net Energy buildings as an example of the use of statistics in the design phase of an
architectural design process.
Source 2:
In-text citation
(Gobes-Ryan, 2022)
Reference Listing for this source
Gobes-Ryan, S. (2022). The importance of probability and statistics in engineering and computer
science. https://usflearn.instructure.com/courses/1664254/pages/the-importance-of-
probability-and-statistics-in-engineering-and-computer-science
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article provides insight into how probability and statistics are used across many of the
disciplines in our college.
https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
Source 3:
In-text citation
(Goy, Maréchal, & Finn, 2020)
Reference Listing for this source
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modeling:
Assessing impacts and overcoming availability challenges. Energies (Basel), 13(16)
4244. doi: 10.3390/en13164244
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article addresses the use of data in building energy modeling and where there are gaps
in the data. This is the most essential source I have for understanding how data is used in
building energy modeling.
Element 2: Probability and Statistics Literacy will Enhance Your
Employability examples are not provided for this section; the questions are
straightforward
What statistical parameters are you able to determine in the data provided?
Given the type of data you are provided, and the question being asked is the mean or median the
most appropriate measure of location to use? Why?
Is a measure of spread important to the question being ask? Why or why not?
Is the data provided
Discrete OR Continuous
Numerical OR Categorical
Of the data provided, which important skill(s) will you hone within the math part of your
statistics course? How is this connected to having probability and statistics proficiency?
What two categories of data are provided in the data set?
How can each of these be used to support the case you will make in the IDL 1 Final?
Develop a table that is clear, easy to read and is organized to highlight the most important data to
your argument.
Element 3: Reference list
Hints: Reference lists in APA format are organized alphabetically by the first letter of the
reference item. This is done to make it easy for readers to find as the in-text citation starts with
the same words/names
Reference List
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. HCM
Architects. https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
new-normal-2020-04-03/
Gobes-Ryan, S. (2022). The importance of probability and statistics in engineering and computer
science. https://usflearn.instructure.com/courses/1664254/pages/the-importance-of-
probability-and-statistics-in-engineering-and-computer-science
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modelling:
Assessing impacts and overcoming availability challenges. Energies (Basel), 13(16)
4244. doi: 10.3390/en13164244
Element 4: Appealing to your audience
Describe the aspirational goal of a professional in your field
create iconic buildings
Develop a preliminary thesis statement for your document? (What is it about and
why does that matter?)
Probability and statistics proficiencies are essential skills for those who aim to create the high
performing architecture possible for our generation.
Sheila Gobes-Ryan 1
Probability and Statistics are the Foundation
for Building Your Architectural Career
Introduction
As future architects, we all dream of creating iconic buildings that result in professional recognition
and financial success. Increases in ‘big data’ and the technologies to analyze these data sets more
effectively make it possible to improve the quality of our designs in significant ways during the
design process. However, to integrate these big-data benefits into our design solutions, we need to
become proficient in probability and statistics while in school.
To illustrate this to you, I will describe how probability and statistics are used in architectural
design and show that this skill will help start your career when you graduate. First, I will discuss the
uses of probability and statistics for improving the outcomes of several phases of architectural
projects. Then I will talk to you about the importance of having the skill to complete data analysis
when starting your career.
The Use of Probability and Statistics in Architecture
Design Phase Use of Probability and Statistics
Architects use probability and statistics during different phases of projects to improve and evaluate
the effectiveness of their built projects. In the following sections, I will present the use of
probability and statistics in four project phases:
1. Architects use probability and statistics during site selection to analyze relevant data.
2. In pre-design, they analyze client needs and evaluate their client’s industry space use trends.
3. During design, they assess the layout and material options against existing performance data.
4. In post-occupancy, they evaluate the performance of the space against project goals,
comparable properties, and performance standards and requirements.
By integrating data-driven decisions into the design process, architects can be confident that they
will achieve the high client satisfaction needed for financial success.
Probability and Statistics in Site Selection
An organization’s selection of location impacts many aspects of business success. The decision
may be which city to locate in, what city section to move to, or what specific property to occupy.
However, for each decision, organizations must consider a wide range of business impacts that
location choices can have and if these will be positive or negative for their business. With statistical
and probabilistic analysis, architects can present the business impacts of many factors based on
current data and predicting how many factors are likely to develop in the future. These factors
include access to employees with the necessary skills, proximity to clients or customers, local cost
of living and expected wages, and commute time and transportation access for employees.
Sheila Gobes-Ryan 2
Architects can use these analyses to combine client data, publicly available data, and mobile device
data to make data-driven site selection decisions (Intalytic, 2021). With this, architects provide
their clients with better business outcomes.
Probability and Statistics in Pre-Design
Architects collect and evaluate data statistically during the pre-design stage to determine building
space needs (Vangelatos, 2018) currently and into the future. Input from client interviews and
surveys, company growth projections, and industry benchmarks are all integrated into space needs
and acquisition decisions. Client organizations will rely on the dependability of this work as they
sign leases that extend for years or sometimes decades.
Probability and Statistics in the Design Phase
During the design phase, architects make decisions on materials and building systems so that
projects meet current regulations for things such as energy and water use (Yaglewad, 2020).
Additionally, we are often required to go beyond this to meet standards like the LEEDS
Sustainable Buildings Certification and Zero Net Energy (Carbonnier, 2020). Our ability to run
virtual simulations that statistically evaluate and present a wide range of design, material, and
construction options is critical to our success in this phase. These simulations integrate physics and
statistics to provide sophisticated examinations of building performance of various design choices.
Findings from these simulations allow architects to make changes to improve building performance
before anything is built (Goy, Maréchal, and Finn, 2020).
Post Occupancy Evaluations with Probability and Statistics
After clients move into buildings, sensors connected to the internet can measure and evaluate
actual building performance (Davis, 2015). Owners can assess building performance against
building code requirements and targeted certification programs, such as LEED (Davis, 2015).
With the decrease in the cost of monitoring systems, building owners and occupants are using
these systems to collect and evaluate data on building use and building systems performance in
increasingly complex ways. Vendors of building systems components are creating sophisticated
data visualizations to present this data in easy-to-understand formats.
Clients are using these analyses to move toward performance-based contracts with architects.
These contracts hold back part of the design fees until clients evaluate the buildings resulting from
an architect’s design against required performance standards (Davis, 2015). To get the
compensation they are due, architects’ pre-design systems of evaluation must match the post-
occupancy performance of the resulting buildings. As a result, architects now have a significant
financial stake in the accuracy of the probability and statistical analyses they complete.
Sheila Gobes-Ryan 3
Probability and Statistics Literacy will Enhance Your Employability
You may be thinking that this is a skill set you can skip and allow others to bring to architectural
firms. However, recent data from the National Architectural Education Association (NAEA)
(2020) suggests you should think again about this.
Surveys completed across 2,456 participating architectural practices show that 93% of these firms
of all sizes use statistical data in multiple phases of their design work. For this reason, 85% of these
firms identified data literacy as a skill they consider significant for new employees. This skill
ranked higher in importance than traditional skills such as CAD proficiency. In follow-up
interviews with 200 firm leaders, 87% identified recent graduates’ data literacy as inadequate for the
work demands of entry-level positions. This deficiency did not align with the finding that 70% of
architecture school faculty believed they were preparing their students for the data literacy
demands of the profession. Most challenging was that only 17% of architecture students identified
data literacy as a necessary professional skill (NAEA, 2020).
This data suggest that architecture programs are not preparing students for the data literacy
demands of their profession. Conversely, this preparation deficit provides a distinct advantage for
architecture students who become data literate and familiar with the uses of data analysis in their
professional lives.
Conclusion
This document discusses the many phases of architectural design work in which probability and
statistics play a role. They are first used to evaluate different options for siting a project. Then to
document building needs into the future. During the following phase of work, architects run many
design choices through simulations that evaluate and present various design choices in building
performance. Finally, owners use probability and statistics to collect data and analyze building
performance outcomes. Clients are frequently connecting these outcomes to completing payment
of architectural contracts. For this reason, as with many fields, using and evaluating data in a wide
range of probability and statistics applications is a skill that employers have indicated is critical.
When we prepare to graduate, we now know this is a skill we must have to start on a path of
financial and professional success
References
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. Retrieved
from https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-new-
normal-2020-04-03/
Chilton, J. J. & Baldry, D. (1997). The effects of integrated workplace strategies on commercial
office space. Facilities, 15(7/8), 187-194. doi: 10.1108/02632779710168227
Davis, D. (2015, April 23). How big data is transforming architecture.: The phenomenon presents
hug opportunities for the built environment and the firms that design it. Architect.
Sheila Gobes-Ryan 4
Retrieved from https://www.architectmagazine.com/technology/how-big-data-is-
transforming-architecture_o
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modelling:
Assessing impacts and overcoming availability challenges. Energies 13. doi:
10.3390/en13164244
Intalytics, (2021). Precise recommendations back by sound science. Kalibrate Company.
https://intalytics.com/real-estate-solutions/
Vangelatos, G. (2018, October 12). How architects help increase patient satisfaction in healthcare
through building design.
Yaglewad, S. (2020, May 19). How is statistics used in architecture? What After College. Retrieved
from https://whataftercollege.com/data-science/statistics-used-in-
architecture/#:~:text=How%20is%20Statistics%20used%20in%20Architecture%3F&text=W
hen%20an%20architectural%20project%20is,use%20for%20the%20end%2Dusers.
https://www.architectmagazine.com/technology/how-big-data-is-transforming-architecture_o
https://www.architectmagazine.com/technology/how-big-data-is-transforming-architecture_o
- You may be thinking that this is a skill set you can skip and allow others to bring to architectural firms. However, recent data from the National Architectural Education Association (NAEA) (2020) suggests you should think again about this.
- Surveys completed across 2,456 participating architectural practices show that 93% of these firms of all sizes use statistical data in multiple phases of their design work. For this reason, 85% of these firms identified data literacy as a skill they c…
- This data suggest that architecture programs are not preparing students for the data literacy demands of their profession. Conversely, this preparation deficit provides a distinct advantage for architecture students who become data literate and famili…
Your Title Here
Introduction
Text of your Introduction here.
The Use of Probability and Statistics in [Your Field/Department]
Text of this section
Subtitles if Used
Text of this section
Probability and Statistics Literacy will Enhance Your Employability
Text of this section
Conclusion
Text of your Introduction here.
References
1
image1
Name:
Element 1: Use of Statistics in [Your field]
Source 1:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 2:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 3:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 4:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Element 2: Probability and Statistics Literacy will Enhance Your Employability
Source 1
In-text citation
Reference Listing for this source
What data from each document you will use to support your argument? You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument
How you will use the numerical data to support your argument.
Source 2
In-text citation
Reference Listing for this source
What data from each document you will use to support your argument? You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument
How you will use the numerical data to support your argument.
Element 3: Reference List (remember to alphabetize the reference list by the first name or word in the reference item.)
Element 4: Engaging your Audience
Something Aspirational to start your document
Thesis Statement
For final
Your document purpose is to persuade first year students in your field of the importance of probability and statistics to your field (department or program).
The tone of this document is to be professional, but accessible. Important considerations for a well written document include:
· Flow at the document, paragraph and sentence level.
· Using topic sentences in each section.
· Using section headers and sub-headers, as identified below and shown in the example document.
You may refer to the
professional and general writing
resources page for tools to help with your writing. You may also work with the
Writing Studio Links to an external site.
at the USF Library; this requires planning, as it is best to have an appointment to be assured of having someone to work with.
You will include the following sections:
·
A Document Title. Document titles must briefly and precisely indicate the topic of the document. Ideally, it is also something that will catch the readers’ attention.
·
Introduction. The
introduction Links to an external site.
must accomplish the following:
· Introduces the audience to the topic and its importance. Given the audience you are writing to, first-person is appropriate, as it is your experience as a more advanced student that makes you credible.
Consider as you finalize your introduction, that the USF students you are writing to are diverse in many ways, including in age, life/professional experience, and cultural background. You must speak to all of them, not just to the ones that are like you.
· Includes a
thesis statement
Links to an external site.
that makes the primary claim you will argue in this handout and what you will say about it.
· States how you will use the document to support your argument.
· Present this in a concise, clear paragraph that makes the reader want to read your handout.
After you complete the body of your document, review your introduction to make sure it accurately states what you accomplished with the document. Revise the document as needed to make sure the introduction and the document body work together.
·
The Use of Statistics in [Your Field]. Using the information that you found in the preliminary phase of this assignment, develop this section. This section will start with an introductory paragraph giving students an overview of the different work aspects you will address. This is followed by 3 subsections (with sub-titles) describing the specific aspects of work for which statistics are used and then discussing specifically how probability or statistics enables the work to be accomplished. This section must have in-text citations to demonstrate you have researched the topic using credible sources.
·
Probability and Statistics Literacy will Enhance Your Employability. Develop a written argument using the data provided to indicate how proficiency in probability and statistics will help to develop competency/competencies employers find look for when hiring recent college graduates. Select only the competency or competencies that are core learning outcomes to this course, (you may not use all of the competencies the webpages identify). Additionally you must incorporate numerical data from both web pages into the argument.
·
Conclusion. The conclusion is a summary of your ENTIRE document. It summarizes what you have done to support you thesis, and includes a reworded restatement of your thesis. It ends with a reminder to the readers of the importance of all of this for their professional future.
·
Reference List. The document will end with an
APA formatted reference list Links to an external site.
Links to an external site.
with a minimum of four (4) references. Each source on the reference list must have at least one
APA formatted in-text citation Links to an external site.
in your document. Citations are required any place in your document where you have used the ideas, data, or images of others.
Word Count: 1000 – 1400 words (not including the reference list.) This is a guide and is most important at the lower end; if your document is shorter than 1000 words, it is likely that it is lacking the detail needed.
For preliminary
Element 1: The Use of Statistics In [Your Field] * –
You may work with other students in your major on selecting uses, finding sources, and completing APA in-text citations and your reference list for this part of the assignment. However, writing your document MUST be completed individually.
Review the
Probability and Statistics in Engineering and Computer Science
Download Probability and Statistics in Engineering and Computer Science
article and resources to develop an understanding of the ways in which your field/major*** uses probability and statistics in the work done. Select 3 applications or tasks that are relevant to your field to research in more detail. To write this well you will need at least one source that helps you identify tasks that are accomplished using probability and statistics in your field, sources to help you describe the tasks, and sources to help you describe how probability and/or statistics are used to enable accomplishing the task. These sources should provide you with information that will allow you to develop 3 clearly presented examples of how probability and statistics are used in your field.
· You must use** a minimum of 4 cited sources for this section. However, you must also have sources to support what you say, which may require you to use additional sources.
*The Use of brackets indicates that you will replace the brackets and the words inside with ones that are appropriate to you and your work.
**Using a source means that you are synthesizing the ideas from the work of another into the original ideas you are putting forward in your work. You will have at least one in-text citation and reference list item using APA formatting for each source. Adding sources to the reference list without an in-text citation will result in no credit for that source.
***This section of the assignment has one required source. A minimum of three sources are required for this section which may come from the resources list or other CREDIBLE sources. Wikipedia may not be used as a source BUT its reference lists may be checked for credible sources.
****USF College of Engineering Majors are departments or major topic areas in departments, they include: Biomedical engineering, chemical engineering, civil engineering, structural engineering, environmental engineering, transportation engineering, computer science, computer engineering, cybersecurity, electrical engineering, industrial engineering, and mechanical engineering
Work to Submit. Complete all of the required information for each source you will use.
Element 2: Probability and Statistics Literacy will Enhance Your Employability.
For this section of your document you will read, interpret, and use descriptive statistics to make an argument that proficiency with probability and statistics will help students get a job when they graduate using the sources provided, these are:
The Four Career Competencies Employers Value Most
Links to an external site.
by NACE Staff
Are College Graduates “Career Ready”?
Links to an external site.
by NACE Staff
You must incorporate data from both sources, meaning you will have at least two points to make with the data as part of this section.
Work to Submit: For this part of the assignment, you will complete the following for each source you use, including the four provided.
· An APA formatted reference list item
· An in-text citation formatted in APA format
· For each source, a brief explanation of
1. What data from each document you will use to support your argument. You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument. For the source you use for the definition of the competencies list the competency or competencies you believe you will enhance in the probability and statistics course. You may not select all as being relevant to this course, you must think about, and make a choice about which competencies are core learning outcomes of this course and make an argument to support that.
2. How you will use the numerical data to support your argument. For the source you use for the definition of the competencies you will describe the way you will incorporate an understanding of the competency into your final document.
Element 3: Reference List (You may work with your assigned groups to complete the reference list.)
Work to Submit: Using the reference list items from above and any extra sources you plan to use, create an APA formatted reference list. You will have a minimum of 4 sources. It is important that your reference listings have the correct information, in the correct order, and that the items and list are formatted correctly. For the reference section, make sure the listings are alphabetized so they can be easily found. Use the APA formatting resources in your reading to help you with this. BEWARE: citation generators are often wrong; you can start with them BUT must revise any that are incorrect.
Element 4: Engaging Your Audience
For this section you will
1. Think about and describe a significant, shared aspirational goal or goals of young professionals entering the field. This goal will be something you can use to engage your readers as you start the document. In the example you will see for architecture students this is to design iconic buildings.
2. Develop a
thesis statement
Name: Herta Ayrton
Element 1: Use of Statistics in architecture
Source 1:
In-text citation
(Carbonnier, 2020)
Reference Listing for this source
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. HCM
Architects. https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
new-normal-2020-04-03/
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article defines zero net energy buildings and design strategies. It explains how
statistics are collected from IoT data sources and used in GIS to inform building form and
location decisions to maximize energy performance by evaluating sun, wind, and light. I will be
using Zero Net Energy buildings as an example of the use of statistics in the design phase of an
architectural design process.
Source 2:
In-text citation
(Gobes-Ryan, 2022)
Reference Listing for this source
Gobes-Ryan, S. (2022). The importance of probability and statistics in engineering and computer
science. https://usflearn.instructure.com/courses/1664254/pages/the-importance-of-
probability-and-statistics-in-engineering-and-computer-science
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article provides insight into how probability and statistics are used across many of the
disciplines in our college.
https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
Source 3:
In-text citation
(Goy, Maréchal, & Finn, 2020)
Reference Listing for this source
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modeling:
Assessing impacts and overcoming availability challenges. Energies (Basel), 13(16)
4244. doi: 10.3390/en13164244
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article addresses the use of data in building energy modeling and where there are gaps
in the data. This is the most essential source I have for understanding how data is used in
building energy modeling.
Element 2: Probability and Statistics Literacy will Enhance Your
Employability examples are not provided for this section; the questions are
straightforward
What statistical parameters are you able to determine in the data provided?
Given the type of data you are provided, and the question being asked is the mean or median the
most appropriate measure of location to use? Why?
Is a measure of spread important to the question being ask? Why or why not?
Is the data provided
Discrete OR Continuous
Numerical OR Categorical
Of the data provided, which important skill(s) will you hone within the math part of your
statistics course? How is this connected to having probability and statistics proficiency?
What two categories of data are provided in the data set?
How can each of these be used to support the case you will make in the IDL 1 Final?
Develop a table that is clear, easy to read and is organized to highlight the most important data to
your argument.
Element 3: Reference list
Hints: Reference lists in APA format are organized alphabetically by the first letter of the
reference item. This is done to make it easy for readers to find as the in-text citation starts with
the same words/names
Reference List
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. HCM
Architects. https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
new-normal-2020-04-03/
Gobes-Ryan, S. (2022). The importance of probability and statistics in engineering and computer
science. https://usflearn.instructure.com/courses/1664254/pages/the-importance-of-
probability-and-statistics-in-engineering-and-computer-science
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modelling:
Assessing impacts and overcoming availability challenges. Energies (Basel), 13(16)
4244. doi: 10.3390/en13164244
Element 4: Appealing to your audience
Describe the aspirational goal of a professional in your field
create iconic buildings
Develop a preliminary thesis statement for your document? (What is it about and
why does that matter?)
Probability and statistics proficiencies are essential skills for those who aim to create the high
performing architecture possible for our generation.
Sheila Gobes-Ryan 1
Probability and Statistics are the Foundation
for Building Your Architectural Career
Introduction
As future architects, we all dream of creating iconic buildings that result in professional recognition
and financial success. Increases in ‘big data’ and the technologies to analyze these data sets more
effectively make it possible to improve the quality of our designs in significant ways during the
design process. However, to integrate these big-data benefits into our design solutions, we need to
become proficient in probability and statistics while in school.
To illustrate this to you, I will describe how probability and statistics are used in architectural
design and show that this skill will help start your career when you graduate. First, I will discuss the
uses of probability and statistics for improving the outcomes of several phases of architectural
projects. Then I will talk to you about the importance of having the skill to complete data analysis
when starting your career.
The Use of Probability and Statistics in Architecture
Design Phase Use of Probability and Statistics
Architects use probability and statistics during different phases of projects to improve and evaluate
the effectiveness of their built projects. In the following sections, I will present the use of
probability and statistics in four project phases:
1. Architects use probability and statistics during site selection to analyze relevant data.
2. In pre-design, they analyze client needs and evaluate their client’s industry space use trends.
3. During design, they assess the layout and material options against existing performance data.
4. In post-occupancy, they evaluate the performance of the space against project goals,
comparable properties, and performance standards and requirements.
By integrating data-driven decisions into the design process, architects can be confident that they
will achieve the high client satisfaction needed for financial success.
Probability and Statistics in Site Selection
An organization’s selection of location impacts many aspects of business success. The decision
may be which city to locate in, what city section to move to, or what specific property to occupy.
However, for each decision, organizations must consider a wide range of business impacts that
location choices can have and if these will be positive or negative for their business. With statistical
and probabilistic analysis, architects can present the business impacts of many factors based on
current data and predicting how many factors are likely to develop in the future. These factors
include access to employees with the necessary skills, proximity to clients or customers, local cost
of living and expected wages, and commute time and transportation access for employees.
Sheila Gobes-Ryan 2
Architects can use these analyses to combine client data, publicly available data, and mobile device
data to make data-driven site selection decisions (Intalytic, 2021). With this, architects provide
their clients with better business outcomes.
Probability and Statistics in Pre-Design
Architects collect and evaluate data statistically during the pre-design stage to determine building
space needs (Vangelatos, 2018) currently and into the future. Input from client interviews and
surveys, company growth projections, and industry benchmarks are all integrated into space needs
and acquisition decisions. Client organizations will rely on the dependability of this work as they
sign leases that extend for years or sometimes decades.
Probability and Statistics in the Design Phase
During the design phase, architects make decisions on materials and building systems so that
projects meet current regulations for things such as energy and water use (Yaglewad, 2020).
Additionally, we are often required to go beyond this to meet standards like the LEEDS
Sustainable Buildings Certification and Zero Net Energy (Carbonnier, 2020). Our ability to run
virtual simulations that statistically evaluate and present a wide range of design, material, and
construction options is critical to our success in this phase. These simulations integrate physics and
statistics to provide sophisticated examinations of building performance of various design choices.
Findings from these simulations allow architects to make changes to improve building performance
before anything is built (Goy, Maréchal, and Finn, 2020).
Post Occupancy Evaluations with Probability and Statistics
After clients move into buildings, sensors connected to the internet can measure and evaluate
actual building performance (Davis, 2015). Owners can assess building performance against
building code requirements and targeted certification programs, such as LEED (Davis, 2015).
With the decrease in the cost of monitoring systems, building owners and occupants are using
these systems to collect and evaluate data on building use and building systems performance in
increasingly complex ways. Vendors of building systems components are creating sophisticated
data visualizations to present this data in easy-to-understand formats.
Clients are using these analyses to move toward performance-based contracts with architects.
These contracts hold back part of the design fees until clients evaluate the buildings resulting from
an architect’s design against required performance standards (Davis, 2015). To get the
compensation they are due, architects’ pre-design systems of evaluation must match the post-
occupancy performance of the resulting buildings. As a result, architects now have a significant
financial stake in the accuracy of the probability and statistical analyses they complete.
Sheila Gobes-Ryan 3
Probability and Statistics Literacy will Enhance Your Employability
You may be thinking that this is a skill set you can skip and allow others to bring to architectural
firms. However, recent data from the National Architectural Education Association (NAEA)
(2020) suggests you should think again about this.
Surveys completed across 2,456 participating architectural practices show that 93% of these firms
of all sizes use statistical data in multiple phases of their design work. For this reason, 85% of these
firms identified data literacy as a skill they consider significant for new employees. This skill
ranked higher in importance than traditional skills such as CAD proficiency. In follow-up
interviews with 200 firm leaders, 87% identified recent graduates’ data literacy as inadequate for the
work demands of entry-level positions. This deficiency did not align with the finding that 70% of
architecture school faculty believed they were preparing their students for the data literacy
demands of the profession. Most challenging was that only 17% of architecture students identified
data literacy as a necessary professional skill (NAEA, 2020).
This data suggest that architecture programs are not preparing students for the data literacy
demands of their profession. Conversely, this preparation deficit provides a distinct advantage for
architecture students who become data literate and familiar with the uses of data analysis in their
professional lives.
Conclusion
This document discusses the many phases of architectural design work in which probability and
statistics play a role. They are first used to evaluate different options for siting a project. Then to
document building needs into the future. During the following phase of work, architects run many
design choices through simulations that evaluate and present various design choices in building
performance. Finally, owners use probability and statistics to collect data and analyze building
performance outcomes. Clients are frequently connecting these outcomes to completing payment
of architectural contracts. For this reason, as with many fields, using and evaluating data in a wide
range of probability and statistics applications is a skill that employers have indicated is critical.
When we prepare to graduate, we now know this is a skill we must have to start on a path of
financial and professional success
References
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. Retrieved
from https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-new-
normal-2020-04-03/
Chilton, J. J. & Baldry, D. (1997). The effects of integrated workplace strategies on commercial
office space. Facilities, 15(7/8), 187-194. doi: 10.1108/02632779710168227
Davis, D. (2015, April 23). How big data is transforming architecture.: The phenomenon presents
hug opportunities for the built environment and the firms that design it. Architect.
Sheila Gobes-Ryan 4
Retrieved from https://www.architectmagazine.com/technology/how-big-data-is-
transforming-architecture_o
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modelling:
Assessing impacts and overcoming availability challenges. Energies 13. doi:
10.3390/en13164244
Intalytics, (2021). Precise recommendations back by sound science. Kalibrate Company.
https://intalytics.com/real-estate-solutions/
Vangelatos, G. (2018, October 12). How architects help increase patient satisfaction in healthcare
through building design.
Yaglewad, S. (2020, May 19). How is statistics used in architecture? What After College. Retrieved
from https://whataftercollege.com/data-science/statistics-used-in-
architecture/#:~:text=How%20is%20Statistics%20used%20in%20Architecture%3F&text=W
hen%20an%20architectural%20project%20is,use%20for%20the%20end%2Dusers.
https://www.architectmagazine.com/technology/how-big-data-is-transforming-architecture_o
https://www.architectmagazine.com/technology/how-big-data-is-transforming-architecture_o
- You may be thinking that this is a skill set you can skip and allow others to bring to architectural firms. However, recent data from the National Architectural Education Association (NAEA) (2020) suggests you should think again about this.
- Surveys completed across 2,456 participating architectural practices show that 93% of these firms of all sizes use statistical data in multiple phases of their design work. For this reason, 85% of these firms identified data literacy as a skill they c…
- This data suggest that architecture programs are not preparing students for the data literacy demands of their profession. Conversely, this preparation deficit provides a distinct advantage for architecture students who become data literate and famili…
Your Title Here
Introduction
Text of your Introduction here.
The Use of Probability and Statistics in [Your Field/Department]
Text of this section
Subtitles if Used
Text of this section
Probability and Statistics Literacy will Enhance Your Employability
Text of this section
Conclusion
Text of your Introduction here.
References
1
image1
Name:
Element 1: Use of Statistics in [Your field]
Source 1:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 2:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 3:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 4:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Element 2: Probability and Statistics Literacy will Enhance Your Employability
Source 1
In-text citation
Reference Listing for this source
What data from each document you will use to support your argument? You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument
How you will use the numerical data to support your argument.
Source 2
In-text citation
Reference Listing for this source
What data from each document you will use to support your argument? You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument
How you will use the numerical data to support your argument.
Element 3: Reference List (remember to alphabetize the reference list by the first name or word in the reference item.)
Element 4: Engaging your Audience
Something Aspirational to start your document
Thesis Statement
For final
Your document purpose is to persuade first year students in your field of the importance of probability and statistics to your field (department or program).
The tone of this document is to be professional, but accessible. Important considerations for a well written document include:
· Flow at the document, paragraph and sentence level.
· Using topic sentences in each section.
· Using section headers and sub-headers, as identified below and shown in the example document.
You may refer to the
professional and general writing
resources page for tools to help with your writing. You may also work with the
Writing Studio Links to an external site.
at the USF Library; this requires planning, as it is best to have an appointment to be assured of having someone to work with.
You will include the following sections:
·
A Document Title. Document titles must briefly and precisely indicate the topic of the document. Ideally, it is also something that will catch the readers’ attention.
·
Introduction. The
introduction Links to an external site.
must accomplish the following:
· Introduces the audience to the topic and its importance. Given the audience you are writing to, first-person is appropriate, as it is your experience as a more advanced student that makes you credible.
Consider as you finalize your introduction, that the USF students you are writing to are diverse in many ways, including in age, life/professional experience, and cultural background. You must speak to all of them, not just to the ones that are like you.
· Includes a
thesis statement
Links to an external site.
that makes the primary claim you will argue in this handout and what you will say about it.
· States how you will use the document to support your argument.
· Present this in a concise, clear paragraph that makes the reader want to read your handout.
After you complete the body of your document, review your introduction to make sure it accurately states what you accomplished with the document. Revise the document as needed to make sure the introduction and the document body work together.
·
The Use of Statistics in [Your Field]. Using the information that you found in the preliminary phase of this assignment, develop this section. This section will start with an introductory paragraph giving students an overview of the different work aspects you will address. This is followed by 3 subsections (with sub-titles) describing the specific aspects of work for which statistics are used and then discussing specifically how probability or statistics enables the work to be accomplished. This section must have in-text citations to demonstrate you have researched the topic using credible sources.
·
Probability and Statistics Literacy will Enhance Your Employability. Develop a written argument using the data provided to indicate how proficiency in probability and statistics will help to develop competency/competencies employers find look for when hiring recent college graduates. Select only the competency or competencies that are core learning outcomes to this course, (you may not use all of the competencies the webpages identify). Additionally you must incorporate numerical data from both web pages into the argument.
·
Conclusion. The conclusion is a summary of your ENTIRE document. It summarizes what you have done to support you thesis, and includes a reworded restatement of your thesis. It ends with a reminder to the readers of the importance of all of this for their professional future.
·
Reference List. The document will end with an
APA formatted reference list Links to an external site.
Links to an external site.
with a minimum of four (4) references. Each source on the reference list must have at least one
APA formatted in-text citation Links to an external site.
in your document. Citations are required any place in your document where you have used the ideas, data, or images of others.
Word Count: 1000 – 1400 words (not including the reference list.) This is a guide and is most important at the lower end; if your document is shorter than 1000 words, it is likely that it is lacking the detail needed.
For preliminary
Element 1: The Use of Statistics In [Your Field] * –
You may work with other students in your major on selecting uses, finding sources, and completing APA in-text citations and your reference list for this part of the assignment. However, writing your document MUST be completed individually.
Review the
Probability and Statistics in Engineering and Computer Science
Download Probability and Statistics in Engineering and Computer Science
article and resources to develop an understanding of the ways in which your field/major*** uses probability and statistics in the work done. Select 3 applications or tasks that are relevant to your field to research in more detail. To write this well you will need at least one source that helps you identify tasks that are accomplished using probability and statistics in your field, sources to help you describe the tasks, and sources to help you describe how probability and/or statistics are used to enable accomplishing the task. These sources should provide you with information that will allow you to develop 3 clearly presented examples of how probability and statistics are used in your field.
· You must use** a minimum of 4 cited sources for this section. However, you must also have sources to support what you say, which may require you to use additional sources.
*The Use of brackets indicates that you will replace the brackets and the words inside with ones that are appropriate to you and your work.
**Using a source means that you are synthesizing the ideas from the work of another into the original ideas you are putting forward in your work. You will have at least one in-text citation and reference list item using APA formatting for each source. Adding sources to the reference list without an in-text citation will result in no credit for that source.
***This section of the assignment has one required source. A minimum of three sources are required for this section which may come from the resources list or other CREDIBLE sources. Wikipedia may not be used as a source BUT its reference lists may be checked for credible sources.
****USF College of Engineering Majors are departments or major topic areas in departments, they include: Biomedical engineering, chemical engineering, civil engineering, structural engineering, environmental engineering, transportation engineering, computer science, computer engineering, cybersecurity, electrical engineering, industrial engineering, and mechanical engineering
Work to Submit. Complete all of the required information for each source you will use.
Element 2: Probability and Statistics Literacy will Enhance Your Employability.
For this section of your document you will read, interpret, and use descriptive statistics to make an argument that proficiency with probability and statistics will help students get a job when they graduate using the sources provided, these are:
The Four Career Competencies Employers Value Most
Links to an external site.
by NACE Staff
Are College Graduates “Career Ready”?
Links to an external site.
by NACE Staff
You must incorporate data from both sources, meaning you will have at least two points to make with the data as part of this section.
Work to Submit: For this part of the assignment, you will complete the following for each source you use, including the four provided.
· An APA formatted reference list item
· An in-text citation formatted in APA format
· For each source, a brief explanation of
1. What data from each document you will use to support your argument. You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument. For the source you use for the definition of the competencies list the competency or competencies you believe you will enhance in the probability and statistics course. You may not select all as being relevant to this course, you must think about, and make a choice about which competencies are core learning outcomes of this course and make an argument to support that.
2. How you will use the numerical data to support your argument. For the source you use for the definition of the competencies you will describe the way you will incorporate an understanding of the competency into your final document.
Element 3: Reference List (You may work with your assigned groups to complete the reference list.)
Work to Submit: Using the reference list items from above and any extra sources you plan to use, create an APA formatted reference list. You will have a minimum of 4 sources. It is important that your reference listings have the correct information, in the correct order, and that the items and list are formatted correctly. For the reference section, make sure the listings are alphabetized so they can be easily found. Use the APA formatting resources in your reading to help you with this. BEWARE: citation generators are often wrong; you can start with them BUT must revise any that are incorrect.
Element 4: Engaging Your Audience
For this section you will
1. Think about and describe a significant, shared aspirational goal or goals of young professionals entering the field. This goal will be something you can use to engage your readers as you start the document. In the example you will see for architecture students this is to design iconic buildings.
2. Develop a
thesis statement
Name: Herta Ayrton
Element 1: Use of Statistics in architecture
Source 1:
In-text citation
(Carbonnier, 2020)
Reference Listing for this source
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. HCM
Architects. https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
new-normal-2020-04-03/
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article defines zero net energy buildings and design strategies. It explains how
statistics are collected from IoT data sources and used in GIS to inform building form and
location decisions to maximize energy performance by evaluating sun, wind, and light. I will be
using Zero Net Energy buildings as an example of the use of statistics in the design phase of an
architectural design process.
Source 2:
In-text citation
(Gobes-Ryan, 2022)
Reference Listing for this source
Gobes-Ryan, S. (2022). The importance of probability and statistics in engineering and computer
science. https://usflearn.instructure.com/courses/1664254/pages/the-importance-of-
probability-and-statistics-in-engineering-and-computer-science
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article provides insight into how probability and statistics are used across many of the
disciplines in our college.
https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
Source 3:
In-text citation
(Goy, Maréchal, & Finn, 2020)
Reference Listing for this source
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modeling:
Assessing impacts and overcoming availability challenges. Energies (Basel), 13(16)
4244. doi: 10.3390/en13164244
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article addresses the use of data in building energy modeling and where there are gaps
in the data. This is the most essential source I have for understanding how data is used in
building energy modeling.
Element 2: Probability and Statistics Literacy will Enhance Your
Employability examples are not provided for this section; the questions are
straightforward
What statistical parameters are you able to determine in the data provided?
Given the type of data you are provided, and the question being asked is the mean or median the
most appropriate measure of location to use? Why?
Is a measure of spread important to the question being ask? Why or why not?
Is the data provided
Discrete OR Continuous
Numerical OR Categorical
Of the data provided, which important skill(s) will you hone within the math part of your
statistics course? How is this connected to having probability and statistics proficiency?
What two categories of data are provided in the data set?
How can each of these be used to support the case you will make in the IDL 1 Final?
Develop a table that is clear, easy to read and is organized to highlight the most important data to
your argument.
Element 3: Reference list
Hints: Reference lists in APA format are organized alphabetically by the first letter of the
reference item. This is done to make it easy for readers to find as the in-text citation starts with
the same words/names
Reference List
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. HCM
Architects. https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
new-normal-2020-04-03/
Gobes-Ryan, S. (2022). The importance of probability and statistics in engineering and computer
science. https://usflearn.instructure.com/courses/1664254/pages/the-importance-of-
probability-and-statistics-in-engineering-and-computer-science
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modelling:
Assessing impacts and overcoming availability challenges. Energies (Basel), 13(16)
4244. doi: 10.3390/en13164244
Element 4: Appealing to your audience
Describe the aspirational goal of a professional in your field
create iconic buildings
Develop a preliminary thesis statement for your document? (What is it about and
why does that matter?)
Probability and statistics proficiencies are essential skills for those who aim to create the high
performing architecture possible for our generation.
Sheila Gobes-Ryan 1
Probability and Statistics are the Foundation
for Building Your Architectural Career
Introduction
As future architects, we all dream of creating iconic buildings that result in professional recognition
and financial success. Increases in ‘big data’ and the technologies to analyze these data sets more
effectively make it possible to improve the quality of our designs in significant ways during the
design process. However, to integrate these big-data benefits into our design solutions, we need to
become proficient in probability and statistics while in school.
To illustrate this to you, I will describe how probability and statistics are used in architectural
design and show that this skill will help start your career when you graduate. First, I will discuss the
uses of probability and statistics for improving the outcomes of several phases of architectural
projects. Then I will talk to you about the importance of having the skill to complete data analysis
when starting your career.
The Use of Probability and Statistics in Architecture
Design Phase Use of Probability and Statistics
Architects use probability and statistics during different phases of projects to improve and evaluate
the effectiveness of their built projects. In the following sections, I will present the use of
probability and statistics in four project phases:
1. Architects use probability and statistics during site selection to analyze relevant data.
2. In pre-design, they analyze client needs and evaluate their client’s industry space use trends.
3. During design, they assess the layout and material options against existing performance data.
4. In post-occupancy, they evaluate the performance of the space against project goals,
comparable properties, and performance standards and requirements.
By integrating data-driven decisions into the design process, architects can be confident that they
will achieve the high client satisfaction needed for financial success.
Probability and Statistics in Site Selection
An organization’s selection of location impacts many aspects of business success. The decision
may be which city to locate in, what city section to move to, or what specific property to occupy.
However, for each decision, organizations must consider a wide range of business impacts that
location choices can have and if these will be positive or negative for their business. With statistical
and probabilistic analysis, architects can present the business impacts of many factors based on
current data and predicting how many factors are likely to develop in the future. These factors
include access to employees with the necessary skills, proximity to clients or customers, local cost
of living and expected wages, and commute time and transportation access for employees.
Sheila Gobes-Ryan 2
Architects can use these analyses to combine client data, publicly available data, and mobile device
data to make data-driven site selection decisions (Intalytic, 2021). With this, architects provide
their clients with better business outcomes.
Probability and Statistics in Pre-Design
Architects collect and evaluate data statistically during the pre-design stage to determine building
space needs (Vangelatos, 2018) currently and into the future. Input from client interviews and
surveys, company growth projections, and industry benchmarks are all integrated into space needs
and acquisition decisions. Client organizations will rely on the dependability of this work as they
sign leases that extend for years or sometimes decades.
Probability and Statistics in the Design Phase
During the design phase, architects make decisions on materials and building systems so that
projects meet current regulations for things such as energy and water use (Yaglewad, 2020).
Additionally, we are often required to go beyond this to meet standards like the LEEDS
Sustainable Buildings Certification and Zero Net Energy (Carbonnier, 2020). Our ability to run
virtual simulations that statistically evaluate and present a wide range of design, material, and
construction options is critical to our success in this phase. These simulations integrate physics and
statistics to provide sophisticated examinations of building performance of various design choices.
Findings from these simulations allow architects to make changes to improve building performance
before anything is built (Goy, Maréchal, and Finn, 2020).
Post Occupancy Evaluations with Probability and Statistics
After clients move into buildings, sensors connected to the internet can measure and evaluate
actual building performance (Davis, 2015). Owners can assess building performance against
building code requirements and targeted certification programs, such as LEED (Davis, 2015).
With the decrease in the cost of monitoring systems, building owners and occupants are using
these systems to collect and evaluate data on building use and building systems performance in
increasingly complex ways. Vendors of building systems components are creating sophisticated
data visualizations to present this data in easy-to-understand formats.
Clients are using these analyses to move toward performance-based contracts with architects.
These contracts hold back part of the design fees until clients evaluate the buildings resulting from
an architect’s design against required performance standards (Davis, 2015). To get the
compensation they are due, architects’ pre-design systems of evaluation must match the post-
occupancy performance of the resulting buildings. As a result, architects now have a significant
financial stake in the accuracy of the probability and statistical analyses they complete.
Sheila Gobes-Ryan 3
Probability and Statistics Literacy will Enhance Your Employability
You may be thinking that this is a skill set you can skip and allow others to bring to architectural
firms. However, recent data from the National Architectural Education Association (NAEA)
(2020) suggests you should think again about this.
Surveys completed across 2,456 participating architectural practices show that 93% of these firms
of all sizes use statistical data in multiple phases of their design work. For this reason, 85% of these
firms identified data literacy as a skill they consider significant for new employees. This skill
ranked higher in importance than traditional skills such as CAD proficiency. In follow-up
interviews with 200 firm leaders, 87% identified recent graduates’ data literacy as inadequate for the
work demands of entry-level positions. This deficiency did not align with the finding that 70% of
architecture school faculty believed they were preparing their students for the data literacy
demands of the profession. Most challenging was that only 17% of architecture students identified
data literacy as a necessary professional skill (NAEA, 2020).
This data suggest that architecture programs are not preparing students for the data literacy
demands of their profession. Conversely, this preparation deficit provides a distinct advantage for
architecture students who become data literate and familiar with the uses of data analysis in their
professional lives.
Conclusion
This document discusses the many phases of architectural design work in which probability and
statistics play a role. They are first used to evaluate different options for siting a project. Then to
document building needs into the future. During the following phase of work, architects run many
design choices through simulations that evaluate and present various design choices in building
performance. Finally, owners use probability and statistics to collect data and analyze building
performance outcomes. Clients are frequently connecting these outcomes to completing payment
of architectural contracts. For this reason, as with many fields, using and evaluating data in a wide
range of probability and statistics applications is a skill that employers have indicated is critical.
When we prepare to graduate, we now know this is a skill we must have to start on a path of
financial and professional success
References
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. Retrieved
from https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-new-
normal-2020-04-03/
Chilton, J. J. & Baldry, D. (1997). The effects of integrated workplace strategies on commercial
office space. Facilities, 15(7/8), 187-194. doi: 10.1108/02632779710168227
Davis, D. (2015, April 23). How big data is transforming architecture.: The phenomenon presents
hug opportunities for the built environment and the firms that design it. Architect.
Sheila Gobes-Ryan 4
Retrieved from https://www.architectmagazine.com/technology/how-big-data-is-
transforming-architecture_o
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modelling:
Assessing impacts and overcoming availability challenges. Energies 13. doi:
10.3390/en13164244
Intalytics, (2021). Precise recommendations back by sound science. Kalibrate Company.
https://intalytics.com/real-estate-solutions/
Vangelatos, G. (2018, October 12). How architects help increase patient satisfaction in healthcare
through building design.
Yaglewad, S. (2020, May 19). How is statistics used in architecture? What After College. Retrieved
from https://whataftercollege.com/data-science/statistics-used-in-
architecture/#:~:text=How%20is%20Statistics%20used%20in%20Architecture%3F&text=W
hen%20an%20architectural%20project%20is,use%20for%20the%20end%2Dusers.
https://www.architectmagazine.com/technology/how-big-data-is-transforming-architecture_o
https://www.architectmagazine.com/technology/how-big-data-is-transforming-architecture_o
- You may be thinking that this is a skill set you can skip and allow others to bring to architectural firms. However, recent data from the National Architectural Education Association (NAEA) (2020) suggests you should think again about this.
- Surveys completed across 2,456 participating architectural practices show that 93% of these firms of all sizes use statistical data in multiple phases of their design work. For this reason, 85% of these firms identified data literacy as a skill they c…
- This data suggest that architecture programs are not preparing students for the data literacy demands of their profession. Conversely, this preparation deficit provides a distinct advantage for architecture students who become data literate and famili…
Your Title Here
Introduction
Text of your Introduction here.
The Use of Probability and Statistics in [Your Field/Department]
Text of this section
Subtitles if Used
Text of this section
Probability and Statistics Literacy will Enhance Your Employability
Text of this section
Conclusion
Text of your Introduction here.
References
1
image1
Name:
Element 1: Use of Statistics in [Your field]
Source 1:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 2:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 3:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 4:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Element 2: Probability and Statistics Literacy will Enhance Your Employability
Source 1
In-text citation
Reference Listing for this source
What data from each document you will use to support your argument? You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument
How you will use the numerical data to support your argument.
Source 2
In-text citation
Reference Listing for this source
What data from each document you will use to support your argument? You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument
How you will use the numerical data to support your argument.
Element 3: Reference List (remember to alphabetize the reference list by the first name or word in the reference item.)
Element 4: Engaging your Audience
Something Aspirational to start your document
Thesis Statement
For final
Your document purpose is to persuade first year students in your field of the importance of probability and statistics to your field (department or program).
The tone of this document is to be professional, but accessible. Important considerations for a well written document include:
· Flow at the document, paragraph and sentence level.
· Using topic sentences in each section.
· Using section headers and sub-headers, as identified below and shown in the example document.
You may refer to the
professional and general writing
resources page for tools to help with your writing. You may also work with the
Writing Studio Links to an external site.
at the USF Library; this requires planning, as it is best to have an appointment to be assured of having someone to work with.
You will include the following sections:
·
A Document Title. Document titles must briefly and precisely indicate the topic of the document. Ideally, it is also something that will catch the readers’ attention.
·
Introduction. The
introduction Links to an external site.
must accomplish the following:
· Introduces the audience to the topic and its importance. Given the audience you are writing to, first-person is appropriate, as it is your experience as a more advanced student that makes you credible.
Consider as you finalize your introduction, that the USF students you are writing to are diverse in many ways, including in age, life/professional experience, and cultural background. You must speak to all of them, not just to the ones that are like you.
· Includes a
thesis statement
Links to an external site.
that makes the primary claim you will argue in this handout and what you will say about it.
· States how you will use the document to support your argument.
· Present this in a concise, clear paragraph that makes the reader want to read your handout.
After you complete the body of your document, review your introduction to make sure it accurately states what you accomplished with the document. Revise the document as needed to make sure the introduction and the document body work together.
·
The Use of Statistics in [Your Field]. Using the information that you found in the preliminary phase of this assignment, develop this section. This section will start with an introductory paragraph giving students an overview of the different work aspects you will address. This is followed by 3 subsections (with sub-titles) describing the specific aspects of work for which statistics are used and then discussing specifically how probability or statistics enables the work to be accomplished. This section must have in-text citations to demonstrate you have researched the topic using credible sources.
·
Probability and Statistics Literacy will Enhance Your Employability. Develop a written argument using the data provided to indicate how proficiency in probability and statistics will help to develop competency/competencies employers find look for when hiring recent college graduates. Select only the competency or competencies that are core learning outcomes to this course, (you may not use all of the competencies the webpages identify). Additionally you must incorporate numerical data from both web pages into the argument.
·
Conclusion. The conclusion is a summary of your ENTIRE document. It summarizes what you have done to support you thesis, and includes a reworded restatement of your thesis. It ends with a reminder to the readers of the importance of all of this for their professional future.
·
Reference List. The document will end with an
APA formatted reference list Links to an external site.
Links to an external site.
with a minimum of four (4) references. Each source on the reference list must have at least one
APA formatted in-text citation Links to an external site.
in your document. Citations are required any place in your document where you have used the ideas, data, or images of others.
Word Count: 1000 – 1400 words (not including the reference list.) This is a guide and is most important at the lower end; if your document is shorter than 1000 words, it is likely that it is lacking the detail needed.
For preliminary
Element 1: The Use of Statistics In [Your Field] * –
You may work with other students in your major on selecting uses, finding sources, and completing APA in-text citations and your reference list for this part of the assignment. However, writing your document MUST be completed individually.
Review the
Probability and Statistics in Engineering and Computer Science
Download Probability and Statistics in Engineering and Computer Science
article and resources to develop an understanding of the ways in which your field/major*** uses probability and statistics in the work done. Select 3 applications or tasks that are relevant to your field to research in more detail. To write this well you will need at least one source that helps you identify tasks that are accomplished using probability and statistics in your field, sources to help you describe the tasks, and sources to help you describe how probability and/or statistics are used to enable accomplishing the task. These sources should provide you with information that will allow you to develop 3 clearly presented examples of how probability and statistics are used in your field.
· You must use** a minimum of 4 cited sources for this section. However, you must also have sources to support what you say, which may require you to use additional sources.
*The Use of brackets indicates that you will replace the brackets and the words inside with ones that are appropriate to you and your work.
**Using a source means that you are synthesizing the ideas from the work of another into the original ideas you are putting forward in your work. You will have at least one in-text citation and reference list item using APA formatting for each source. Adding sources to the reference list without an in-text citation will result in no credit for that source.
***This section of the assignment has one required source. A minimum of three sources are required for this section which may come from the resources list or other CREDIBLE sources. Wikipedia may not be used as a source BUT its reference lists may be checked for credible sources.
****USF College of Engineering Majors are departments or major topic areas in departments, they include: Biomedical engineering, chemical engineering, civil engineering, structural engineering, environmental engineering, transportation engineering, computer science, computer engineering, cybersecurity, electrical engineering, industrial engineering, and mechanical engineering
Work to Submit. Complete all of the required information for each source you will use.
Element 2: Probability and Statistics Literacy will Enhance Your Employability.
For this section of your document you will read, interpret, and use descriptive statistics to make an argument that proficiency with probability and statistics will help students get a job when they graduate using the sources provided, these are:
The Four Career Competencies Employers Value Most
Links to an external site.
by NACE Staff
Are College Graduates “Career Ready”?
Links to an external site.
by NACE Staff
You must incorporate data from both sources, meaning you will have at least two points to make with the data as part of this section.
Work to Submit: For this part of the assignment, you will complete the following for each source you use, including the four provided.
· An APA formatted reference list item
· An in-text citation formatted in APA format
· For each source, a brief explanation of
1. What data from each document you will use to support your argument. You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument. For the source you use for the definition of the competencies list the competency or competencies you believe you will enhance in the probability and statistics course. You may not select all as being relevant to this course, you must think about, and make a choice about which competencies are core learning outcomes of this course and make an argument to support that.
2. How you will use the numerical data to support your argument. For the source you use for the definition of the competencies you will describe the way you will incorporate an understanding of the competency into your final document.
Element 3: Reference List (You may work with your assigned groups to complete the reference list.)
Work to Submit: Using the reference list items from above and any extra sources you plan to use, create an APA formatted reference list. You will have a minimum of 4 sources. It is important that your reference listings have the correct information, in the correct order, and that the items and list are formatted correctly. For the reference section, make sure the listings are alphabetized so they can be easily found. Use the APA formatting resources in your reading to help you with this. BEWARE: citation generators are often wrong; you can start with them BUT must revise any that are incorrect.
Element 4: Engaging Your Audience
For this section you will
1. Think about and describe a significant, shared aspirational goal or goals of young professionals entering the field. This goal will be something you can use to engage your readers as you start the document. In the example you will see for architecture students this is to design iconic buildings.
2. Develop a
thesis statement
Name: Herta Ayrton
Element 1: Use of Statistics in architecture
Source 1:
In-text citation
(Carbonnier, 2020)
Reference Listing for this source
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. HCM
Architects. https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
new-normal-2020-04-03/
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article defines zero net energy buildings and design strategies. It explains how
statistics are collected from IoT data sources and used in GIS to inform building form and
location decisions to maximize energy performance by evaluating sun, wind, and light. I will be
using Zero Net Energy buildings as an example of the use of statistics in the design phase of an
architectural design process.
Source 2:
In-text citation
(Gobes-Ryan, 2022)
Reference Listing for this source
Gobes-Ryan, S. (2022). The importance of probability and statistics in engineering and computer
science. https://usflearn.instructure.com/courses/1664254/pages/the-importance-of-
probability-and-statistics-in-engineering-and-computer-science
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article provides insight into how probability and statistics are used across many of the
disciplines in our college.
https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
Source 3:
In-text citation
(Goy, Maréchal, & Finn, 2020)
Reference Listing for this source
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modeling:
Assessing impacts and overcoming availability challenges. Energies (Basel), 13(16)
4244. doi: 10.3390/en13164244
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article addresses the use of data in building energy modeling and where there are gaps
in the data. This is the most essential source I have for understanding how data is used in
building energy modeling.
Element 2: Probability and Statistics Literacy will Enhance Your
Employability examples are not provided for this section; the questions are
straightforward
What statistical parameters are you able to determine in the data provided?
Given the type of data you are provided, and the question being asked is the mean or median the
most appropriate measure of location to use? Why?
Is a measure of spread important to the question being ask? Why or why not?
Is the data provided
Discrete OR Continuous
Numerical OR Categorical
Of the data provided, which important skill(s) will you hone within the math part of your
statistics course? How is this connected to having probability and statistics proficiency?
What two categories of data are provided in the data set?
How can each of these be used to support the case you will make in the IDL 1 Final?
Develop a table that is clear, easy to read and is organized to highlight the most important data to
your argument.
Element 3: Reference list
Hints: Reference lists in APA format are organized alphabetically by the first letter of the
reference item. This is done to make it easy for readers to find as the in-text citation starts with
the same words/names
Reference List
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. HCM
Architects. https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
new-normal-2020-04-03/
Gobes-Ryan, S. (2022). The importance of probability and statistics in engineering and computer
science. https://usflearn.instructure.com/courses/1664254/pages/the-importance-of-
probability-and-statistics-in-engineering-and-computer-science
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modelling:
Assessing impacts and overcoming availability challenges. Energies (Basel), 13(16)
4244. doi: 10.3390/en13164244
Element 4: Appealing to your audience
Describe the aspirational goal of a professional in your field
create iconic buildings
Develop a preliminary thesis statement for your document? (What is it about and
why does that matter?)
Probability and statistics proficiencies are essential skills for those who aim to create the high
performing architecture possible for our generation.
Sheila Gobes-Ryan 1
Probability and Statistics are the Foundation
for Building Your Architectural Career
Introduction
As future architects, we all dream of creating iconic buildings that result in professional recognition
and financial success. Increases in ‘big data’ and the technologies to analyze these data sets more
effectively make it possible to improve the quality of our designs in significant ways during the
design process. However, to integrate these big-data benefits into our design solutions, we need to
become proficient in probability and statistics while in school.
To illustrate this to you, I will describe how probability and statistics are used in architectural
design and show that this skill will help start your career when you graduate. First, I will discuss the
uses of probability and statistics for improving the outcomes of several phases of architectural
projects. Then I will talk to you about the importance of having the skill to complete data analysis
when starting your career.
The Use of Probability and Statistics in Architecture
Design Phase Use of Probability and Statistics
Architects use probability and statistics during different phases of projects to improve and evaluate
the effectiveness of their built projects. In the following sections, I will present the use of
probability and statistics in four project phases:
1. Architects use probability and statistics during site selection to analyze relevant data.
2. In pre-design, they analyze client needs and evaluate their client’s industry space use trends.
3. During design, they assess the layout and material options against existing performance data.
4. In post-occupancy, they evaluate the performance of the space against project goals,
comparable properties, and performance standards and requirements.
By integrating data-driven decisions into the design process, architects can be confident that they
will achieve the high client satisfaction needed for financial success.
Probability and Statistics in Site Selection
An organization’s selection of location impacts many aspects of business success. The decision
may be which city to locate in, what city section to move to, or what specific property to occupy.
However, for each decision, organizations must consider a wide range of business impacts that
location choices can have and if these will be positive or negative for their business. With statistical
and probabilistic analysis, architects can present the business impacts of many factors based on
current data and predicting how many factors are likely to develop in the future. These factors
include access to employees with the necessary skills, proximity to clients or customers, local cost
of living and expected wages, and commute time and transportation access for employees.
Sheila Gobes-Ryan 2
Architects can use these analyses to combine client data, publicly available data, and mobile device
data to make data-driven site selection decisions (Intalytic, 2021). With this, architects provide
their clients with better business outcomes.
Probability and Statistics in Pre-Design
Architects collect and evaluate data statistically during the pre-design stage to determine building
space needs (Vangelatos, 2018) currently and into the future. Input from client interviews and
surveys, company growth projections, and industry benchmarks are all integrated into space needs
and acquisition decisions. Client organizations will rely on the dependability of this work as they
sign leases that extend for years or sometimes decades.
Probability and Statistics in the Design Phase
During the design phase, architects make decisions on materials and building systems so that
projects meet current regulations for things such as energy and water use (Yaglewad, 2020).
Additionally, we are often required to go beyond this to meet standards like the LEEDS
Sustainable Buildings Certification and Zero Net Energy (Carbonnier, 2020). Our ability to run
virtual simulations that statistically evaluate and present a wide range of design, material, and
construction options is critical to our success in this phase. These simulations integrate physics and
statistics to provide sophisticated examinations of building performance of various design choices.
Findings from these simulations allow architects to make changes to improve building performance
before anything is built (Goy, Maréchal, and Finn, 2020).
Post Occupancy Evaluations with Probability and Statistics
After clients move into buildings, sensors connected to the internet can measure and evaluate
actual building performance (Davis, 2015). Owners can assess building performance against
building code requirements and targeted certification programs, such as LEED (Davis, 2015).
With the decrease in the cost of monitoring systems, building owners and occupants are using
these systems to collect and evaluate data on building use and building systems performance in
increasingly complex ways. Vendors of building systems components are creating sophisticated
data visualizations to present this data in easy-to-understand formats.
Clients are using these analyses to move toward performance-based contracts with architects.
These contracts hold back part of the design fees until clients evaluate the buildings resulting from
an architect’s design against required performance standards (Davis, 2015). To get the
compensation they are due, architects’ pre-design systems of evaluation must match the post-
occupancy performance of the resulting buildings. As a result, architects now have a significant
financial stake in the accuracy of the probability and statistical analyses they complete.
Sheila Gobes-Ryan 3
Probability and Statistics Literacy will Enhance Your Employability
You may be thinking that this is a skill set you can skip and allow others to bring to architectural
firms. However, recent data from the National Architectural Education Association (NAEA)
(2020) suggests you should think again about this.
Surveys completed across 2,456 participating architectural practices show that 93% of these firms
of all sizes use statistical data in multiple phases of their design work. For this reason, 85% of these
firms identified data literacy as a skill they consider significant for new employees. This skill
ranked higher in importance than traditional skills such as CAD proficiency. In follow-up
interviews with 200 firm leaders, 87% identified recent graduates’ data literacy as inadequate for the
work demands of entry-level positions. This deficiency did not align with the finding that 70% of
architecture school faculty believed they were preparing their students for the data literacy
demands of the profession. Most challenging was that only 17% of architecture students identified
data literacy as a necessary professional skill (NAEA, 2020).
This data suggest that architecture programs are not preparing students for the data literacy
demands of their profession. Conversely, this preparation deficit provides a distinct advantage for
architecture students who become data literate and familiar with the uses of data analysis in their
professional lives.
Conclusion
This document discusses the many phases of architectural design work in which probability and
statistics play a role. They are first used to evaluate different options for siting a project. Then to
document building needs into the future. During the following phase of work, architects run many
design choices through simulations that evaluate and present various design choices in building
performance. Finally, owners use probability and statistics to collect data and analyze building
performance outcomes. Clients are frequently connecting these outcomes to completing payment
of architectural contracts. For this reason, as with many fields, using and evaluating data in a wide
range of probability and statistics applications is a skill that employers have indicated is critical.
When we prepare to graduate, we now know this is a skill we must have to start on a path of
financial and professional success
References
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. Retrieved
from https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-new-
normal-2020-04-03/
Chilton, J. J. & Baldry, D. (1997). The effects of integrated workplace strategies on commercial
office space. Facilities, 15(7/8), 187-194. doi: 10.1108/02632779710168227
Davis, D. (2015, April 23). How big data is transforming architecture.: The phenomenon presents
hug opportunities for the built environment and the firms that design it. Architect.
Sheila Gobes-Ryan 4
Retrieved from https://www.architectmagazine.com/technology/how-big-data-is-
transforming-architecture_o
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modelling:
Assessing impacts and overcoming availability challenges. Energies 13. doi:
10.3390/en13164244
Intalytics, (2021). Precise recommendations back by sound science. Kalibrate Company.
https://intalytics.com/real-estate-solutions/
Vangelatos, G. (2018, October 12). How architects help increase patient satisfaction in healthcare
through building design.
Yaglewad, S. (2020, May 19). How is statistics used in architecture? What After College. Retrieved
from https://whataftercollege.com/data-science/statistics-used-in-
architecture/#:~:text=How%20is%20Statistics%20used%20in%20Architecture%3F&text=W
hen%20an%20architectural%20project%20is,use%20for%20the%20end%2Dusers.
https://www.architectmagazine.com/technology/how-big-data-is-transforming-architecture_o
https://www.architectmagazine.com/technology/how-big-data-is-transforming-architecture_o
- You may be thinking that this is a skill set you can skip and allow others to bring to architectural firms. However, recent data from the National Architectural Education Association (NAEA) (2020) suggests you should think again about this.
- Surveys completed across 2,456 participating architectural practices show that 93% of these firms of all sizes use statistical data in multiple phases of their design work. For this reason, 85% of these firms identified data literacy as a skill they c…
- This data suggest that architecture programs are not preparing students for the data literacy demands of their profession. Conversely, this preparation deficit provides a distinct advantage for architecture students who become data literate and famili…
Your Title Here
Introduction
Text of your Introduction here.
The Use of Probability and Statistics in [Your Field/Department]
Text of this section
Subtitles if Used
Text of this section
Probability and Statistics Literacy will Enhance Your Employability
Text of this section
Conclusion
Text of your Introduction here.
References
1
image1
Name:
Element 1: Use of Statistics in [Your field]
Source 1:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 2:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 3:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 4:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Element 2: Probability and Statistics Literacy will Enhance Your Employability
Source 1
In-text citation
Reference Listing for this source
What data from each document you will use to support your argument? You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument
How you will use the numerical data to support your argument.
Source 2
In-text citation
Reference Listing for this source
What data from each document you will use to support your argument? You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument
How you will use the numerical data to support your argument.
Element 3: Reference List (remember to alphabetize the reference list by the first name or word in the reference item.)
Element 4: Engaging your Audience
Something Aspirational to start your document
Thesis Statement
For final
Your document purpose is to persuade first year students in your field of the importance of probability and statistics to your field (department or program).
The tone of this document is to be professional, but accessible. Important considerations for a well written document include:
· Flow at the document, paragraph and sentence level.
· Using topic sentences in each section.
· Using section headers and sub-headers, as identified below and shown in the example document.
You may refer to the
professional and general writing
resources page for tools to help with your writing. You may also work with the
Writing Studio Links to an external site.
at the USF Library; this requires planning, as it is best to have an appointment to be assured of having someone to work with.
You will include the following sections:
·
A Document Title. Document titles must briefly and precisely indicate the topic of the document. Ideally, it is also something that will catch the readers’ attention.
·
Introduction. The
introduction Links to an external site.
must accomplish the following:
· Introduces the audience to the topic and its importance. Given the audience you are writing to, first-person is appropriate, as it is your experience as a more advanced student that makes you credible.
Consider as you finalize your introduction, that the USF students you are writing to are diverse in many ways, including in age, life/professional experience, and cultural background. You must speak to all of them, not just to the ones that are like you.
· Includes a
thesis statement
Links to an external site.
that makes the primary claim you will argue in this handout and what you will say about it.
· States how you will use the document to support your argument.
· Present this in a concise, clear paragraph that makes the reader want to read your handout.
After you complete the body of your document, review your introduction to make sure it accurately states what you accomplished with the document. Revise the document as needed to make sure the introduction and the document body work together.
·
The Use of Statistics in [Your Field]. Using the information that you found in the preliminary phase of this assignment, develop this section. This section will start with an introductory paragraph giving students an overview of the different work aspects you will address. This is followed by 3 subsections (with sub-titles) describing the specific aspects of work for which statistics are used and then discussing specifically how probability or statistics enables the work to be accomplished. This section must have in-text citations to demonstrate you have researched the topic using credible sources.
·
Probability and Statistics Literacy will Enhance Your Employability. Develop a written argument using the data provided to indicate how proficiency in probability and statistics will help to develop competency/competencies employers find look for when hiring recent college graduates. Select only the competency or competencies that are core learning outcomes to this course, (you may not use all of the competencies the webpages identify). Additionally you must incorporate numerical data from both web pages into the argument.
·
Conclusion. The conclusion is a summary of your ENTIRE document. It summarizes what you have done to support you thesis, and includes a reworded restatement of your thesis. It ends with a reminder to the readers of the importance of all of this for their professional future.
·
Reference List. The document will end with an
APA formatted reference list Links to an external site.
Links to an external site.
with a minimum of four (4) references. Each source on the reference list must have at least one
APA formatted in-text citation Links to an external site.
in your document. Citations are required any place in your document where you have used the ideas, data, or images of others.
Word Count: 1000 – 1400 words (not including the reference list.) This is a guide and is most important at the lower end; if your document is shorter than 1000 words, it is likely that it is lacking the detail needed.
For preliminary
Element 1: The Use of Statistics In [Your Field] * –
You may work with other students in your major on selecting uses, finding sources, and completing APA in-text citations and your reference list for this part of the assignment. However, writing your document MUST be completed individually.
Review the
Probability and Statistics in Engineering and Computer Science
Download Probability and Statistics in Engineering and Computer Science
article and resources to develop an understanding of the ways in which your field/major*** uses probability and statistics in the work done. Select 3 applications or tasks that are relevant to your field to research in more detail. To write this well you will need at least one source that helps you identify tasks that are accomplished using probability and statistics in your field, sources to help you describe the tasks, and sources to help you describe how probability and/or statistics are used to enable accomplishing the task. These sources should provide you with information that will allow you to develop 3 clearly presented examples of how probability and statistics are used in your field.
· You must use** a minimum of 4 cited sources for this section. However, you must also have sources to support what you say, which may require you to use additional sources.
*The Use of brackets indicates that you will replace the brackets and the words inside with ones that are appropriate to you and your work.
**Using a source means that you are synthesizing the ideas from the work of another into the original ideas you are putting forward in your work. You will have at least one in-text citation and reference list item using APA formatting for each source. Adding sources to the reference list without an in-text citation will result in no credit for that source.
***This section of the assignment has one required source. A minimum of three sources are required for this section which may come from the resources list or other CREDIBLE sources. Wikipedia may not be used as a source BUT its reference lists may be checked for credible sources.
****USF College of Engineering Majors are departments or major topic areas in departments, they include: Biomedical engineering, chemical engineering, civil engineering, structural engineering, environmental engineering, transportation engineering, computer science, computer engineering, cybersecurity, electrical engineering, industrial engineering, and mechanical engineering
Work to Submit. Complete all of the required information for each source you will use.
Element 2: Probability and Statistics Literacy will Enhance Your Employability.
For this section of your document you will read, interpret, and use descriptive statistics to make an argument that proficiency with probability and statistics will help students get a job when they graduate using the sources provided, these are:
The Four Career Competencies Employers Value Most
Links to an external site.
by NACE Staff
Are College Graduates “Career Ready”?
Links to an external site.
by NACE Staff
You must incorporate data from both sources, meaning you will have at least two points to make with the data as part of this section.
Work to Submit: For this part of the assignment, you will complete the following for each source you use, including the four provided.
· An APA formatted reference list item
· An in-text citation formatted in APA format
· For each source, a brief explanation of
1. What data from each document you will use to support your argument. You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument. For the source you use for the definition of the competencies list the competency or competencies you believe you will enhance in the probability and statistics course. You may not select all as being relevant to this course, you must think about, and make a choice about which competencies are core learning outcomes of this course and make an argument to support that.
2. How you will use the numerical data to support your argument. For the source you use for the definition of the competencies you will describe the way you will incorporate an understanding of the competency into your final document.
Element 3: Reference List (You may work with your assigned groups to complete the reference list.)
Work to Submit: Using the reference list items from above and any extra sources you plan to use, create an APA formatted reference list. You will have a minimum of 4 sources. It is important that your reference listings have the correct information, in the correct order, and that the items and list are formatted correctly. For the reference section, make sure the listings are alphabetized so they can be easily found. Use the APA formatting resources in your reading to help you with this. BEWARE: citation generators are often wrong; you can start with them BUT must revise any that are incorrect.
Element 4: Engaging Your Audience
For this section you will
1. Think about and describe a significant, shared aspirational goal or goals of young professionals entering the field. This goal will be something you can use to engage your readers as you start the document. In the example you will see for architecture students this is to design iconic buildings.
2. Develop a
thesis statement
Name: Herta Ayrton
Element 1: Use of Statistics in architecture
Source 1:
In-text citation
(Carbonnier, 2020)
Reference Listing for this source
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. HCM
Architects. https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
new-normal-2020-04-03/
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article defines zero net energy buildings and design strategies. It explains how
statistics are collected from IoT data sources and used in GIS to inform building form and
location decisions to maximize energy performance by evaluating sun, wind, and light. I will be
using Zero Net Energy buildings as an example of the use of statistics in the design phase of an
architectural design process.
Source 2:
In-text citation
(Gobes-Ryan, 2022)
Reference Listing for this source
Gobes-Ryan, S. (2022). The importance of probability and statistics in engineering and computer
science. https://usflearn.instructure.com/courses/1664254/pages/the-importance-of-
probability-and-statistics-in-engineering-and-computer-science
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article provides insight into how probability and statistics are used across many of the
disciplines in our college.
https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
Source 3:
In-text citation
(Goy, Maréchal, & Finn, 2020)
Reference Listing for this source
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modeling:
Assessing impacts and overcoming availability challenges. Energies (Basel), 13(16)
4244. doi: 10.3390/en13164244
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article addresses the use of data in building energy modeling and where there are gaps
in the data. This is the most essential source I have for understanding how data is used in
building energy modeling.
Element 2: Probability and Statistics Literacy will Enhance Your
Employability examples are not provided for this section; the questions are
straightforward
What statistical parameters are you able to determine in the data provided?
Given the type of data you are provided, and the question being asked is the mean or median the
most appropriate measure of location to use? Why?
Is a measure of spread important to the question being ask? Why or why not?
Is the data provided
Discrete OR Continuous
Numerical OR Categorical
Of the data provided, which important skill(s) will you hone within the math part of your
statistics course? How is this connected to having probability and statistics proficiency?
What two categories of data are provided in the data set?
How can each of these be used to support the case you will make in the IDL 1 Final?
Develop a table that is clear, easy to read and is organized to highlight the most important data to
your argument.
Element 3: Reference list
Hints: Reference lists in APA format are organized alphabetically by the first letter of the
reference item. This is done to make it easy for readers to find as the in-text citation starts with
the same words/names
Reference List
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. HCM
Architects. https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
new-normal-2020-04-03/
Gobes-Ryan, S. (2022). The importance of probability and statistics in engineering and computer
science. https://usflearn.instructure.com/courses/1664254/pages/the-importance-of-
probability-and-statistics-in-engineering-and-computer-science
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modelling:
Assessing impacts and overcoming availability challenges. Energies (Basel), 13(16)
4244. doi: 10.3390/en13164244
Element 4: Appealing to your audience
Describe the aspirational goal of a professional in your field
create iconic buildings
Develop a preliminary thesis statement for your document? (What is it about and
why does that matter?)
Probability and statistics proficiencies are essential skills for those who aim to create the high
performing architecture possible for our generation.
Sheila Gobes-Ryan 1
Probability and Statistics are the Foundation
for Building Your Architectural Career
Introduction
As future architects, we all dream of creating iconic buildings that result in professional recognition
and financial success. Increases in ‘big data’ and the technologies to analyze these data sets more
effectively make it possible to improve the quality of our designs in significant ways during the
design process. However, to integrate these big-data benefits into our design solutions, we need to
become proficient in probability and statistics while in school.
To illustrate this to you, I will describe how probability and statistics are used in architectural
design and show that this skill will help start your career when you graduate. First, I will discuss the
uses of probability and statistics for improving the outcomes of several phases of architectural
projects. Then I will talk to you about the importance of having the skill to complete data analysis
when starting your career.
The Use of Probability and Statistics in Architecture
Design Phase Use of Probability and Statistics
Architects use probability and statistics during different phases of projects to improve and evaluate
the effectiveness of their built projects. In the following sections, I will present the use of
probability and statistics in four project phases:
1. Architects use probability and statistics during site selection to analyze relevant data.
2. In pre-design, they analyze client needs and evaluate their client’s industry space use trends.
3. During design, they assess the layout and material options against existing performance data.
4. In post-occupancy, they evaluate the performance of the space against project goals,
comparable properties, and performance standards and requirements.
By integrating data-driven decisions into the design process, architects can be confident that they
will achieve the high client satisfaction needed for financial success.
Probability and Statistics in Site Selection
An organization’s selection of location impacts many aspects of business success. The decision
may be which city to locate in, what city section to move to, or what specific property to occupy.
However, for each decision, organizations must consider a wide range of business impacts that
location choices can have and if these will be positive or negative for their business. With statistical
and probabilistic analysis, architects can present the business impacts of many factors based on
current data and predicting how many factors are likely to develop in the future. These factors
include access to employees with the necessary skills, proximity to clients or customers, local cost
of living and expected wages, and commute time and transportation access for employees.
Sheila Gobes-Ryan 2
Architects can use these analyses to combine client data, publicly available data, and mobile device
data to make data-driven site selection decisions (Intalytic, 2021). With this, architects provide
their clients with better business outcomes.
Probability and Statistics in Pre-Design
Architects collect and evaluate data statistically during the pre-design stage to determine building
space needs (Vangelatos, 2018) currently and into the future. Input from client interviews and
surveys, company growth projections, and industry benchmarks are all integrated into space needs
and acquisition decisions. Client organizations will rely on the dependability of this work as they
sign leases that extend for years or sometimes decades.
Probability and Statistics in the Design Phase
During the design phase, architects make decisions on materials and building systems so that
projects meet current regulations for things such as energy and water use (Yaglewad, 2020).
Additionally, we are often required to go beyond this to meet standards like the LEEDS
Sustainable Buildings Certification and Zero Net Energy (Carbonnier, 2020). Our ability to run
virtual simulations that statistically evaluate and present a wide range of design, material, and
construction options is critical to our success in this phase. These simulations integrate physics and
statistics to provide sophisticated examinations of building performance of various design choices.
Findings from these simulations allow architects to make changes to improve building performance
before anything is built (Goy, Maréchal, and Finn, 2020).
Post Occupancy Evaluations with Probability and Statistics
After clients move into buildings, sensors connected to the internet can measure and evaluate
actual building performance (Davis, 2015). Owners can assess building performance against
building code requirements and targeted certification programs, such as LEED (Davis, 2015).
With the decrease in the cost of monitoring systems, building owners and occupants are using
these systems to collect and evaluate data on building use and building systems performance in
increasingly complex ways. Vendors of building systems components are creating sophisticated
data visualizations to present this data in easy-to-understand formats.
Clients are using these analyses to move toward performance-based contracts with architects.
These contracts hold back part of the design fees until clients evaluate the buildings resulting from
an architect’s design against required performance standards (Davis, 2015). To get the
compensation they are due, architects’ pre-design systems of evaluation must match the post-
occupancy performance of the resulting buildings. As a result, architects now have a significant
financial stake in the accuracy of the probability and statistical analyses they complete.
Sheila Gobes-Ryan 3
Probability and Statistics Literacy will Enhance Your Employability
You may be thinking that this is a skill set you can skip and allow others to bring to architectural
firms. However, recent data from the National Architectural Education Association (NAEA)
(2020) suggests you should think again about this.
Surveys completed across 2,456 participating architectural practices show that 93% of these firms
of all sizes use statistical data in multiple phases of their design work. For this reason, 85% of these
firms identified data literacy as a skill they consider significant for new employees. This skill
ranked higher in importance than traditional skills such as CAD proficiency. In follow-up
interviews with 200 firm leaders, 87% identified recent graduates’ data literacy as inadequate for the
work demands of entry-level positions. This deficiency did not align with the finding that 70% of
architecture school faculty believed they were preparing their students for the data literacy
demands of the profession. Most challenging was that only 17% of architecture students identified
data literacy as a necessary professional skill (NAEA, 2020).
This data suggest that architecture programs are not preparing students for the data literacy
demands of their profession. Conversely, this preparation deficit provides a distinct advantage for
architecture students who become data literate and familiar with the uses of data analysis in their
professional lives.
Conclusion
This document discusses the many phases of architectural design work in which probability and
statistics play a role. They are first used to evaluate different options for siting a project. Then to
document building needs into the future. During the following phase of work, architects run many
design choices through simulations that evaluate and present various design choices in building
performance. Finally, owners use probability and statistics to collect data and analyze building
performance outcomes. Clients are frequently connecting these outcomes to completing payment
of architectural contracts. For this reason, as with many fields, using and evaluating data in a wide
range of probability and statistics applications is a skill that employers have indicated is critical.
When we prepare to graduate, we now know this is a skill we must have to start on a path of
financial and professional success
References
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. Retrieved
from https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-new-
normal-2020-04-03/
Chilton, J. J. & Baldry, D. (1997). The effects of integrated workplace strategies on commercial
office space. Facilities, 15(7/8), 187-194. doi: 10.1108/02632779710168227
Davis, D. (2015, April 23). How big data is transforming architecture.: The phenomenon presents
hug opportunities for the built environment and the firms that design it. Architect.
Sheila Gobes-Ryan 4
Retrieved from https://www.architectmagazine.com/technology/how-big-data-is-
transforming-architecture_o
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modelling:
Assessing impacts and overcoming availability challenges. Energies 13. doi:
10.3390/en13164244
Intalytics, (2021). Precise recommendations back by sound science. Kalibrate Company.
https://intalytics.com/real-estate-solutions/
Vangelatos, G. (2018, October 12). How architects help increase patient satisfaction in healthcare
through building design.
Yaglewad, S. (2020, May 19). How is statistics used in architecture? What After College. Retrieved
from https://whataftercollege.com/data-science/statistics-used-in-
architecture/#:~:text=How%20is%20Statistics%20used%20in%20Architecture%3F&text=W
hen%20an%20architectural%20project%20is,use%20for%20the%20end%2Dusers.
https://www.architectmagazine.com/technology/how-big-data-is-transforming-architecture_o
https://www.architectmagazine.com/technology/how-big-data-is-transforming-architecture_o
- You may be thinking that this is a skill set you can skip and allow others to bring to architectural firms. However, recent data from the National Architectural Education Association (NAEA) (2020) suggests you should think again about this.
- Surveys completed across 2,456 participating architectural practices show that 93% of these firms of all sizes use statistical data in multiple phases of their design work. For this reason, 85% of these firms identified data literacy as a skill they c…
- This data suggest that architecture programs are not preparing students for the data literacy demands of their profession. Conversely, this preparation deficit provides a distinct advantage for architecture students who become data literate and famili…
Your Title Here
Introduction
Text of your Introduction here.
The Use of Probability and Statistics in [Your Field/Department]
Text of this section
Subtitles if Used
Text of this section
Probability and Statistics Literacy will Enhance Your Employability
Text of this section
Conclusion
Text of your Introduction here.
References
1
image1
Name:
Element 1: Use of Statistics in [Your field]
Source 1:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 2:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 3:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 4:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Element 2: Probability and Statistics Literacy will Enhance Your Employability
Source 1
In-text citation
Reference Listing for this source
What data from each document you will use to support your argument? You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument
How you will use the numerical data to support your argument.
Source 2
In-text citation
Reference Listing for this source
What data from each document you will use to support your argument? You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument
How you will use the numerical data to support your argument.
Element 3: Reference List (remember to alphabetize the reference list by the first name or word in the reference item.)
Element 4: Engaging your Audience
Something Aspirational to start your document
Thesis Statement
For final
Your document purpose is to persuade first year students in your field of the importance of probability and statistics to your field (department or program).
The tone of this document is to be professional, but accessible. Important considerations for a well written document include:
· Flow at the document, paragraph and sentence level.
· Using topic sentences in each section.
· Using section headers and sub-headers, as identified below and shown in the example document.
You may refer to the
professional and general writing
resources page for tools to help with your writing. You may also work with the
Writing Studio Links to an external site.
at the USF Library; this requires planning, as it is best to have an appointment to be assured of having someone to work with.
You will include the following sections:
·
A Document Title. Document titles must briefly and precisely indicate the topic of the document. Ideally, it is also something that will catch the readers’ attention.
·
Introduction. The
introduction Links to an external site.
must accomplish the following:
· Introduces the audience to the topic and its importance. Given the audience you are writing to, first-person is appropriate, as it is your experience as a more advanced student that makes you credible.
Consider as you finalize your introduction, that the USF students you are writing to are diverse in many ways, including in age, life/professional experience, and cultural background. You must speak to all of them, not just to the ones that are like you.
· Includes a
thesis statement
Links to an external site.
that makes the primary claim you will argue in this handout and what you will say about it.
· States how you will use the document to support your argument.
· Present this in a concise, clear paragraph that makes the reader want to read your handout.
After you complete the body of your document, review your introduction to make sure it accurately states what you accomplished with the document. Revise the document as needed to make sure the introduction and the document body work together.
·
The Use of Statistics in [Your Field]. Using the information that you found in the preliminary phase of this assignment, develop this section. This section will start with an introductory paragraph giving students an overview of the different work aspects you will address. This is followed by 3 subsections (with sub-titles) describing the specific aspects of work for which statistics are used and then discussing specifically how probability or statistics enables the work to be accomplished. This section must have in-text citations to demonstrate you have researched the topic using credible sources.
·
Probability and Statistics Literacy will Enhance Your Employability. Develop a written argument using the data provided to indicate how proficiency in probability and statistics will help to develop competency/competencies employers find look for when hiring recent college graduates. Select only the competency or competencies that are core learning outcomes to this course, (you may not use all of the competencies the webpages identify). Additionally you must incorporate numerical data from both web pages into the argument.
·
Conclusion. The conclusion is a summary of your ENTIRE document. It summarizes what you have done to support you thesis, and includes a reworded restatement of your thesis. It ends with a reminder to the readers of the importance of all of this for their professional future.
·
Reference List. The document will end with an
APA formatted reference list Links to an external site.
Links to an external site.
with a minimum of four (4) references. Each source on the reference list must have at least one
APA formatted in-text citation Links to an external site.
in your document. Citations are required any place in your document where you have used the ideas, data, or images of others.
Word Count: 1000 – 1400 words (not including the reference list.) This is a guide and is most important at the lower end; if your document is shorter than 1000 words, it is likely that it is lacking the detail needed.
For preliminary
Element 1: The Use of Statistics In [Your Field] * –
You may work with other students in your major on selecting uses, finding sources, and completing APA in-text citations and your reference list for this part of the assignment. However, writing your document MUST be completed individually.
Review the
Probability and Statistics in Engineering and Computer Science
Download Probability and Statistics in Engineering and Computer Science
article and resources to develop an understanding of the ways in which your field/major*** uses probability and statistics in the work done. Select 3 applications or tasks that are relevant to your field to research in more detail. To write this well you will need at least one source that helps you identify tasks that are accomplished using probability and statistics in your field, sources to help you describe the tasks, and sources to help you describe how probability and/or statistics are used to enable accomplishing the task. These sources should provide you with information that will allow you to develop 3 clearly presented examples of how probability and statistics are used in your field.
· You must use** a minimum of 4 cited sources for this section. However, you must also have sources to support what you say, which may require you to use additional sources.
*The Use of brackets indicates that you will replace the brackets and the words inside with ones that are appropriate to you and your work.
**Using a source means that you are synthesizing the ideas from the work of another into the original ideas you are putting forward in your work. You will have at least one in-text citation and reference list item using APA formatting for each source. Adding sources to the reference list without an in-text citation will result in no credit for that source.
***This section of the assignment has one required source. A minimum of three sources are required for this section which may come from the resources list or other CREDIBLE sources. Wikipedia may not be used as a source BUT its reference lists may be checked for credible sources.
****USF College of Engineering Majors are departments or major topic areas in departments, they include: Biomedical engineering, chemical engineering, civil engineering, structural engineering, environmental engineering, transportation engineering, computer science, computer engineering, cybersecurity, electrical engineering, industrial engineering, and mechanical engineering
Work to Submit. Complete all of the required information for each source you will use.
Element 2: Probability and Statistics Literacy will Enhance Your Employability.
For this section of your document you will read, interpret, and use descriptive statistics to make an argument that proficiency with probability and statistics will help students get a job when they graduate using the sources provided, these are:
The Four Career Competencies Employers Value Most
Links to an external site.
by NACE Staff
Are College Graduates “Career Ready”?
Links to an external site.
by NACE Staff
You must incorporate data from both sources, meaning you will have at least two points to make with the data as part of this section.
Work to Submit: For this part of the assignment, you will complete the following for each source you use, including the four provided.
· An APA formatted reference list item
· An in-text citation formatted in APA format
· For each source, a brief explanation of
1. What data from each document you will use to support your argument. You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument. For the source you use for the definition of the competencies list the competency or competencies you believe you will enhance in the probability and statistics course. You may not select all as being relevant to this course, you must think about, and make a choice about which competencies are core learning outcomes of this course and make an argument to support that.
2. How you will use the numerical data to support your argument. For the source you use for the definition of the competencies you will describe the way you will incorporate an understanding of the competency into your final document.
Element 3: Reference List (You may work with your assigned groups to complete the reference list.)
Work to Submit: Using the reference list items from above and any extra sources you plan to use, create an APA formatted reference list. You will have a minimum of 4 sources. It is important that your reference listings have the correct information, in the correct order, and that the items and list are formatted correctly. For the reference section, make sure the listings are alphabetized so they can be easily found. Use the APA formatting resources in your reading to help you with this. BEWARE: citation generators are often wrong; you can start with them BUT must revise any that are incorrect.
Element 4: Engaging Your Audience
For this section you will
1. Think about and describe a significant, shared aspirational goal or goals of young professionals entering the field. This goal will be something you can use to engage your readers as you start the document. In the example you will see for architecture students this is to design iconic buildings.
2. Develop a
thesis statement
Name: Herta Ayrton
Element 1: Use of Statistics in architecture
Source 1:
In-text citation
(Carbonnier, 2020)
Reference Listing for this source
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. HCM
Architects. https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
new-normal-2020-04-03/
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article defines zero net energy buildings and design strategies. It explains how
statistics are collected from IoT data sources and used in GIS to inform building form and
location decisions to maximize energy performance by evaluating sun, wind, and light. I will be
using Zero Net Energy buildings as an example of the use of statistics in the design phase of an
architectural design process.
Source 2:
In-text citation
(Gobes-Ryan, 2022)
Reference Listing for this source
Gobes-Ryan, S. (2022). The importance of probability and statistics in engineering and computer
science. https://usflearn.instructure.com/courses/1664254/pages/the-importance-of-
probability-and-statistics-in-engineering-and-computer-science
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article provides insight into how probability and statistics are used across many of the
disciplines in our college.
https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
Source 3:
In-text citation
(Goy, Maréchal, & Finn, 2020)
Reference Listing for this source
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modeling:
Assessing impacts and overcoming availability challenges. Energies (Basel), 13(16)
4244. doi: 10.3390/en13164244
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article addresses the use of data in building energy modeling and where there are gaps
in the data. This is the most essential source I have for understanding how data is used in
building energy modeling.
Element 2: Probability and Statistics Literacy will Enhance Your
Employability examples are not provided for this section; the questions are
straightforward
What statistical parameters are you able to determine in the data provided?
Given the type of data you are provided, and the question being asked is the mean or median the
most appropriate measure of location to use? Why?
Is a measure of spread important to the question being ask? Why or why not?
Is the data provided
Discrete OR Continuous
Numerical OR Categorical
Of the data provided, which important skill(s) will you hone within the math part of your
statistics course? How is this connected to having probability and statistics proficiency?
What two categories of data are provided in the data set?
How can each of these be used to support the case you will make in the IDL 1 Final?
Develop a table that is clear, easy to read and is organized to highlight the most important data to
your argument.
Element 3: Reference list
Hints: Reference lists in APA format are organized alphabetically by the first letter of the
reference item. This is done to make it easy for readers to find as the in-text citation starts with
the same words/names
Reference List
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. HCM
Architects. https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
new-normal-2020-04-03/
Gobes-Ryan, S. (2022). The importance of probability and statistics in engineering and computer
science. https://usflearn.instructure.com/courses/1664254/pages/the-importance-of-
probability-and-statistics-in-engineering-and-computer-science
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modelling:
Assessing impacts and overcoming availability challenges. Energies (Basel), 13(16)
4244. doi: 10.3390/en13164244
Element 4: Appealing to your audience
Describe the aspirational goal of a professional in your field
create iconic buildings
Develop a preliminary thesis statement for your document? (What is it about and
why does that matter?)
Probability and statistics proficiencies are essential skills for those who aim to create the high
performing architecture possible for our generation.
Sheila Gobes-Ryan 1
Probability and Statistics are the Foundation
for Building Your Architectural Career
Introduction
As future architects, we all dream of creating iconic buildings that result in professional recognition
and financial success. Increases in ‘big data’ and the technologies to analyze these data sets more
effectively make it possible to improve the quality of our designs in significant ways during the
design process. However, to integrate these big-data benefits into our design solutions, we need to
become proficient in probability and statistics while in school.
To illustrate this to you, I will describe how probability and statistics are used in architectural
design and show that this skill will help start your career when you graduate. First, I will discuss the
uses of probability and statistics for improving the outcomes of several phases of architectural
projects. Then I will talk to you about the importance of having the skill to complete data analysis
when starting your career.
The Use of Probability and Statistics in Architecture
Design Phase Use of Probability and Statistics
Architects use probability and statistics during different phases of projects to improve and evaluate
the effectiveness of their built projects. In the following sections, I will present the use of
probability and statistics in four project phases:
1. Architects use probability and statistics during site selection to analyze relevant data.
2. In pre-design, they analyze client needs and evaluate their client’s industry space use trends.
3. During design, they assess the layout and material options against existing performance data.
4. In post-occupancy, they evaluate the performance of the space against project goals,
comparable properties, and performance standards and requirements.
By integrating data-driven decisions into the design process, architects can be confident that they
will achieve the high client satisfaction needed for financial success.
Probability and Statistics in Site Selection
An organization’s selection of location impacts many aspects of business success. The decision
may be which city to locate in, what city section to move to, or what specific property to occupy.
However, for each decision, organizations must consider a wide range of business impacts that
location choices can have and if these will be positive or negative for their business. With statistical
and probabilistic analysis, architects can present the business impacts of many factors based on
current data and predicting how many factors are likely to develop in the future. These factors
include access to employees with the necessary skills, proximity to clients or customers, local cost
of living and expected wages, and commute time and transportation access for employees.
Sheila Gobes-Ryan 2
Architects can use these analyses to combine client data, publicly available data, and mobile device
data to make data-driven site selection decisions (Intalytic, 2021). With this, architects provide
their clients with better business outcomes.
Probability and Statistics in Pre-Design
Architects collect and evaluate data statistically during the pre-design stage to determine building
space needs (Vangelatos, 2018) currently and into the future. Input from client interviews and
surveys, company growth projections, and industry benchmarks are all integrated into space needs
and acquisition decisions. Client organizations will rely on the dependability of this work as they
sign leases that extend for years or sometimes decades.
Probability and Statistics in the Design Phase
During the design phase, architects make decisions on materials and building systems so that
projects meet current regulations for things such as energy and water use (Yaglewad, 2020).
Additionally, we are often required to go beyond this to meet standards like the LEEDS
Sustainable Buildings Certification and Zero Net Energy (Carbonnier, 2020). Our ability to run
virtual simulations that statistically evaluate and present a wide range of design, material, and
construction options is critical to our success in this phase. These simulations integrate physics and
statistics to provide sophisticated examinations of building performance of various design choices.
Findings from these simulations allow architects to make changes to improve building performance
before anything is built (Goy, Maréchal, and Finn, 2020).
Post Occupancy Evaluations with Probability and Statistics
After clients move into buildings, sensors connected to the internet can measure and evaluate
actual building performance (Davis, 2015). Owners can assess building performance against
building code requirements and targeted certification programs, such as LEED (Davis, 2015).
With the decrease in the cost of monitoring systems, building owners and occupants are using
these systems to collect and evaluate data on building use and building systems performance in
increasingly complex ways. Vendors of building systems components are creating sophisticated
data visualizations to present this data in easy-to-understand formats.
Clients are using these analyses to move toward performance-based contracts with architects.
These contracts hold back part of the design fees until clients evaluate the buildings resulting from
an architect’s design against required performance standards (Davis, 2015). To get the
compensation they are due, architects’ pre-design systems of evaluation must match the post-
occupancy performance of the resulting buildings. As a result, architects now have a significant
financial stake in the accuracy of the probability and statistical analyses they complete.
Sheila Gobes-Ryan 3
Probability and Statistics Literacy will Enhance Your Employability
You may be thinking that this is a skill set you can skip and allow others to bring to architectural
firms. However, recent data from the National Architectural Education Association (NAEA)
(2020) suggests you should think again about this.
Surveys completed across 2,456 participating architectural practices show that 93% of these firms
of all sizes use statistical data in multiple phases of their design work. For this reason, 85% of these
firms identified data literacy as a skill they consider significant for new employees. This skill
ranked higher in importance than traditional skills such as CAD proficiency. In follow-up
interviews with 200 firm leaders, 87% identified recent graduates’ data literacy as inadequate for the
work demands of entry-level positions. This deficiency did not align with the finding that 70% of
architecture school faculty believed they were preparing their students for the data literacy
demands of the profession. Most challenging was that only 17% of architecture students identified
data literacy as a necessary professional skill (NAEA, 2020).
This data suggest that architecture programs are not preparing students for the data literacy
demands of their profession. Conversely, this preparation deficit provides a distinct advantage for
architecture students who become data literate and familiar with the uses of data analysis in their
professional lives.
Conclusion
This document discusses the many phases of architectural design work in which probability and
statistics play a role. They are first used to evaluate different options for siting a project. Then to
document building needs into the future. During the following phase of work, architects run many
design choices through simulations that evaluate and present various design choices in building
performance. Finally, owners use probability and statistics to collect data and analyze building
performance outcomes. Clients are frequently connecting these outcomes to completing payment
of architectural contracts. For this reason, as with many fields, using and evaluating data in a wide
range of probability and statistics applications is a skill that employers have indicated is critical.
When we prepare to graduate, we now know this is a skill we must have to start on a path of
financial and professional success
References
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. Retrieved
from https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-new-
normal-2020-04-03/
Chilton, J. J. & Baldry, D. (1997). The effects of integrated workplace strategies on commercial
office space. Facilities, 15(7/8), 187-194. doi: 10.1108/02632779710168227
Davis, D. (2015, April 23). How big data is transforming architecture.: The phenomenon presents
hug opportunities for the built environment and the firms that design it. Architect.
Sheila Gobes-Ryan 4
Retrieved from https://www.architectmagazine.com/technology/how-big-data-is-
transforming-architecture_o
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modelling:
Assessing impacts and overcoming availability challenges. Energies 13. doi:
10.3390/en13164244
Intalytics, (2021). Precise recommendations back by sound science. Kalibrate Company.
https://intalytics.com/real-estate-solutions/
Vangelatos, G. (2018, October 12). How architects help increase patient satisfaction in healthcare
through building design.
Yaglewad, S. (2020, May 19). How is statistics used in architecture? What After College. Retrieved
from https://whataftercollege.com/data-science/statistics-used-in-
architecture/#:~:text=How%20is%20Statistics%20used%20in%20Architecture%3F&text=W
hen%20an%20architectural%20project%20is,use%20for%20the%20end%2Dusers.
https://www.architectmagazine.com/technology/how-big-data-is-transforming-architecture_o
https://www.architectmagazine.com/technology/how-big-data-is-transforming-architecture_o
- You may be thinking that this is a skill set you can skip and allow others to bring to architectural firms. However, recent data from the National Architectural Education Association (NAEA) (2020) suggests you should think again about this.
- Surveys completed across 2,456 participating architectural practices show that 93% of these firms of all sizes use statistical data in multiple phases of their design work. For this reason, 85% of these firms identified data literacy as a skill they c…
- This data suggest that architecture programs are not preparing students for the data literacy demands of their profession. Conversely, this preparation deficit provides a distinct advantage for architecture students who become data literate and famili…
Your Title Here
Introduction
Text of your Introduction here.
The Use of Probability and Statistics in [Your Field/Department]
Text of this section
Subtitles if Used
Text of this section
Probability and Statistics Literacy will Enhance Your Employability
Text of this section
Conclusion
Text of your Introduction here.
References
1
image1
Name:
Element 1: Use of Statistics in [Your field]
Source 1:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 2:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 3:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 4:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Element 2: Probability and Statistics Literacy will Enhance Your Employability
Source 1
In-text citation
Reference Listing for this source
What data from each document you will use to support your argument? You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument
How you will use the numerical data to support your argument.
Source 2
In-text citation
Reference Listing for this source
What data from each document you will use to support your argument? You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument
How you will use the numerical data to support your argument.
Element 3: Reference List (remember to alphabetize the reference list by the first name or word in the reference item.)
Element 4: Engaging your Audience
Something Aspirational to start your document
Thesis Statement
For final
Your document purpose is to persuade first year students in your field of the importance of probability and statistics to your field (department or program).
The tone of this document is to be professional, but accessible. Important considerations for a well written document include:
· Flow at the document, paragraph and sentence level.
· Using topic sentences in each section.
· Using section headers and sub-headers, as identified below and shown in the example document.
You may refer to the
professional and general writing
resources page for tools to help with your writing. You may also work with the
Writing Studio Links to an external site.
at the USF Library; this requires planning, as it is best to have an appointment to be assured of having someone to work with.
You will include the following sections:
·
A Document Title. Document titles must briefly and precisely indicate the topic of the document. Ideally, it is also something that will catch the readers’ attention.
·
Introduction. The
introduction Links to an external site.
must accomplish the following:
· Introduces the audience to the topic and its importance. Given the audience you are writing to, first-person is appropriate, as it is your experience as a more advanced student that makes you credible.
Consider as you finalize your introduction, that the USF students you are writing to are diverse in many ways, including in age, life/professional experience, and cultural background. You must speak to all of them, not just to the ones that are like you.
· Includes a
thesis statement
Links to an external site.
that makes the primary claim you will argue in this handout and what you will say about it.
· States how you will use the document to support your argument.
· Present this in a concise, clear paragraph that makes the reader want to read your handout.
After you complete the body of your document, review your introduction to make sure it accurately states what you accomplished with the document. Revise the document as needed to make sure the introduction and the document body work together.
·
The Use of Statistics in [Your Field]. Using the information that you found in the preliminary phase of this assignment, develop this section. This section will start with an introductory paragraph giving students an overview of the different work aspects you will address. This is followed by 3 subsections (with sub-titles) describing the specific aspects of work for which statistics are used and then discussing specifically how probability or statistics enables the work to be accomplished. This section must have in-text citations to demonstrate you have researched the topic using credible sources.
·
Probability and Statistics Literacy will Enhance Your Employability. Develop a written argument using the data provided to indicate how proficiency in probability and statistics will help to develop competency/competencies employers find look for when hiring recent college graduates. Select only the competency or competencies that are core learning outcomes to this course, (you may not use all of the competencies the webpages identify). Additionally you must incorporate numerical data from both web pages into the argument.
·
Conclusion. The conclusion is a summary of your ENTIRE document. It summarizes what you have done to support you thesis, and includes a reworded restatement of your thesis. It ends with a reminder to the readers of the importance of all of this for their professional future.
·
Reference List. The document will end with an
APA formatted reference list Links to an external site.
Links to an external site.
with a minimum of four (4) references. Each source on the reference list must have at least one
APA formatted in-text citation Links to an external site.
in your document. Citations are required any place in your document where you have used the ideas, data, or images of others.
Word Count: 1000 – 1400 words (not including the reference list.) This is a guide and is most important at the lower end; if your document is shorter than 1000 words, it is likely that it is lacking the detail needed.
For preliminary
Element 1: The Use of Statistics In [Your Field] * –
You may work with other students in your major on selecting uses, finding sources, and completing APA in-text citations and your reference list for this part of the assignment. However, writing your document MUST be completed individually.
Review the
Probability and Statistics in Engineering and Computer Science
Download Probability and Statistics in Engineering and Computer Science
article and resources to develop an understanding of the ways in which your field/major*** uses probability and statistics in the work done. Select 3 applications or tasks that are relevant to your field to research in more detail. To write this well you will need at least one source that helps you identify tasks that are accomplished using probability and statistics in your field, sources to help you describe the tasks, and sources to help you describe how probability and/or statistics are used to enable accomplishing the task. These sources should provide you with information that will allow you to develop 3 clearly presented examples of how probability and statistics are used in your field.
· You must use** a minimum of 4 cited sources for this section. However, you must also have sources to support what you say, which may require you to use additional sources.
*The Use of brackets indicates that you will replace the brackets and the words inside with ones that are appropriate to you and your work.
**Using a source means that you are synthesizing the ideas from the work of another into the original ideas you are putting forward in your work. You will have at least one in-text citation and reference list item using APA formatting for each source. Adding sources to the reference list without an in-text citation will result in no credit for that source.
***This section of the assignment has one required source. A minimum of three sources are required for this section which may come from the resources list or other CREDIBLE sources. Wikipedia may not be used as a source BUT its reference lists may be checked for credible sources.
****USF College of Engineering Majors are departments or major topic areas in departments, they include: Biomedical engineering, chemical engineering, civil engineering, structural engineering, environmental engineering, transportation engineering, computer science, computer engineering, cybersecurity, electrical engineering, industrial engineering, and mechanical engineering
Work to Submit. Complete all of the required information for each source you will use.
Element 2: Probability and Statistics Literacy will Enhance Your Employability.
For this section of your document you will read, interpret, and use descriptive statistics to make an argument that proficiency with probability and statistics will help students get a job when they graduate using the sources provided, these are:
The Four Career Competencies Employers Value Most
Links to an external site.
by NACE Staff
Are College Graduates “Career Ready”?
Links to an external site.
by NACE Staff
You must incorporate data from both sources, meaning you will have at least two points to make with the data as part of this section.
Work to Submit: For this part of the assignment, you will complete the following for each source you use, including the four provided.
· An APA formatted reference list item
· An in-text citation formatted in APA format
· For each source, a brief explanation of
1. What data from each document you will use to support your argument. You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument. For the source you use for the definition of the competencies list the competency or competencies you believe you will enhance in the probability and statistics course. You may not select all as being relevant to this course, you must think about, and make a choice about which competencies are core learning outcomes of this course and make an argument to support that.
2. How you will use the numerical data to support your argument. For the source you use for the definition of the competencies you will describe the way you will incorporate an understanding of the competency into your final document.
Element 3: Reference List (You may work with your assigned groups to complete the reference list.)
Work to Submit: Using the reference list items from above and any extra sources you plan to use, create an APA formatted reference list. You will have a minimum of 4 sources. It is important that your reference listings have the correct information, in the correct order, and that the items and list are formatted correctly. For the reference section, make sure the listings are alphabetized so they can be easily found. Use the APA formatting resources in your reading to help you with this. BEWARE: citation generators are often wrong; you can start with them BUT must revise any that are incorrect.
Element 4: Engaging Your Audience
For this section you will
1. Think about and describe a significant, shared aspirational goal or goals of young professionals entering the field. This goal will be something you can use to engage your readers as you start the document. In the example you will see for architecture students this is to design iconic buildings.
2. Develop a
thesis statement
Name: Herta Ayrton
Element 1: Use of Statistics in architecture
Source 1:
In-text citation
(Carbonnier, 2020)
Reference Listing for this source
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. HCM
Architects. https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
new-normal-2020-04-03/
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article defines zero net energy buildings and design strategies. It explains how
statistics are collected from IoT data sources and used in GIS to inform building form and
location decisions to maximize energy performance by evaluating sun, wind, and light. I will be
using Zero Net Energy buildings as an example of the use of statistics in the design phase of an
architectural design process.
Source 2:
In-text citation
(Gobes-Ryan, 2022)
Reference Listing for this source
Gobes-Ryan, S. (2022). The importance of probability and statistics in engineering and computer
science. https://usflearn.instructure.com/courses/1664254/pages/the-importance-of-
probability-and-statistics-in-engineering-and-computer-science
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article provides insight into how probability and statistics are used across many of the
disciplines in our college.
https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
Source 3:
In-text citation
(Goy, Maréchal, & Finn, 2020)
Reference Listing for this source
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modeling:
Assessing impacts and overcoming availability challenges. Energies (Basel), 13(16)
4244. doi: 10.3390/en13164244
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article addresses the use of data in building energy modeling and where there are gaps
in the data. This is the most essential source I have for understanding how data is used in
building energy modeling.
Element 2: Probability and Statistics Literacy will Enhance Your
Employability examples are not provided for this section; the questions are
straightforward
What statistical parameters are you able to determine in the data provided?
Given the type of data you are provided, and the question being asked is the mean or median the
most appropriate measure of location to use? Why?
Is a measure of spread important to the question being ask? Why or why not?
Is the data provided
Discrete OR Continuous
Numerical OR Categorical
Of the data provided, which important skill(s) will you hone within the math part of your
statistics course? How is this connected to having probability and statistics proficiency?
What two categories of data are provided in the data set?
How can each of these be used to support the case you will make in the IDL 1 Final?
Develop a table that is clear, easy to read and is organized to highlight the most important data to
your argument.
Element 3: Reference list
Hints: Reference lists in APA format are organized alphabetically by the first letter of the
reference item. This is done to make it easy for readers to find as the in-text citation starts with
the same words/names
Reference List
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. HCM
Architects. https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
new-normal-2020-04-03/
Gobes-Ryan, S. (2022). The importance of probability and statistics in engineering and computer
science. https://usflearn.instructure.com/courses/1664254/pages/the-importance-of-
probability-and-statistics-in-engineering-and-computer-science
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modelling:
Assessing impacts and overcoming availability challenges. Energies (Basel), 13(16)
4244. doi: 10.3390/en13164244
Element 4: Appealing to your audience
Describe the aspirational goal of a professional in your field
create iconic buildings
Develop a preliminary thesis statement for your document? (What is it about and
why does that matter?)
Probability and statistics proficiencies are essential skills for those who aim to create the high
performing architecture possible for our generation.
Sheila Gobes-Ryan 1
Probability and Statistics are the Foundation
for Building Your Architectural Career
Introduction
As future architects, we all dream of creating iconic buildings that result in professional recognition
and financial success. Increases in ‘big data’ and the technologies to analyze these data sets more
effectively make it possible to improve the quality of our designs in significant ways during the
design process. However, to integrate these big-data benefits into our design solutions, we need to
become proficient in probability and statistics while in school.
To illustrate this to you, I will describe how probability and statistics are used in architectural
design and show that this skill will help start your career when you graduate. First, I will discuss the
uses of probability and statistics for improving the outcomes of several phases of architectural
projects. Then I will talk to you about the importance of having the skill to complete data analysis
when starting your career.
The Use of Probability and Statistics in Architecture
Design Phase Use of Probability and Statistics
Architects use probability and statistics during different phases of projects to improve and evaluate
the effectiveness of their built projects. In the following sections, I will present the use of
probability and statistics in four project phases:
1. Architects use probability and statistics during site selection to analyze relevant data.
2. In pre-design, they analyze client needs and evaluate their client’s industry space use trends.
3. During design, they assess the layout and material options against existing performance data.
4. In post-occupancy, they evaluate the performance of the space against project goals,
comparable properties, and performance standards and requirements.
By integrating data-driven decisions into the design process, architects can be confident that they
will achieve the high client satisfaction needed for financial success.
Probability and Statistics in Site Selection
An organization’s selection of location impacts many aspects of business success. The decision
may be which city to locate in, what city section to move to, or what specific property to occupy.
However, for each decision, organizations must consider a wide range of business impacts that
location choices can have and if these will be positive or negative for their business. With statistical
and probabilistic analysis, architects can present the business impacts of many factors based on
current data and predicting how many factors are likely to develop in the future. These factors
include access to employees with the necessary skills, proximity to clients or customers, local cost
of living and expected wages, and commute time and transportation access for employees.
Sheila Gobes-Ryan 2
Architects can use these analyses to combine client data, publicly available data, and mobile device
data to make data-driven site selection decisions (Intalytic, 2021). With this, architects provide
their clients with better business outcomes.
Probability and Statistics in Pre-Design
Architects collect and evaluate data statistically during the pre-design stage to determine building
space needs (Vangelatos, 2018) currently and into the future. Input from client interviews and
surveys, company growth projections, and industry benchmarks are all integrated into space needs
and acquisition decisions. Client organizations will rely on the dependability of this work as they
sign leases that extend for years or sometimes decades.
Probability and Statistics in the Design Phase
During the design phase, architects make decisions on materials and building systems so that
projects meet current regulations for things such as energy and water use (Yaglewad, 2020).
Additionally, we are often required to go beyond this to meet standards like the LEEDS
Sustainable Buildings Certification and Zero Net Energy (Carbonnier, 2020). Our ability to run
virtual simulations that statistically evaluate and present a wide range of design, material, and
construction options is critical to our success in this phase. These simulations integrate physics and
statistics to provide sophisticated examinations of building performance of various design choices.
Findings from these simulations allow architects to make changes to improve building performance
before anything is built (Goy, Maréchal, and Finn, 2020).
Post Occupancy Evaluations with Probability and Statistics
After clients move into buildings, sensors connected to the internet can measure and evaluate
actual building performance (Davis, 2015). Owners can assess building performance against
building code requirements and targeted certification programs, such as LEED (Davis, 2015).
With the decrease in the cost of monitoring systems, building owners and occupants are using
these systems to collect and evaluate data on building use and building systems performance in
increasingly complex ways. Vendors of building systems components are creating sophisticated
data visualizations to present this data in easy-to-understand formats.
Clients are using these analyses to move toward performance-based contracts with architects.
These contracts hold back part of the design fees until clients evaluate the buildings resulting from
an architect’s design against required performance standards (Davis, 2015). To get the
compensation they are due, architects’ pre-design systems of evaluation must match the post-
occupancy performance of the resulting buildings. As a result, architects now have a significant
financial stake in the accuracy of the probability and statistical analyses they complete.
Sheila Gobes-Ryan 3
Probability and Statistics Literacy will Enhance Your Employability
You may be thinking that this is a skill set you can skip and allow others to bring to architectural
firms. However, recent data from the National Architectural Education Association (NAEA)
(2020) suggests you should think again about this.
Surveys completed across 2,456 participating architectural practices show that 93% of these firms
of all sizes use statistical data in multiple phases of their design work. For this reason, 85% of these
firms identified data literacy as a skill they consider significant for new employees. This skill
ranked higher in importance than traditional skills such as CAD proficiency. In follow-up
interviews with 200 firm leaders, 87% identified recent graduates’ data literacy as inadequate for the
work demands of entry-level positions. This deficiency did not align with the finding that 70% of
architecture school faculty believed they were preparing their students for the data literacy
demands of the profession. Most challenging was that only 17% of architecture students identified
data literacy as a necessary professional skill (NAEA, 2020).
This data suggest that architecture programs are not preparing students for the data literacy
demands of their profession. Conversely, this preparation deficit provides a distinct advantage for
architecture students who become data literate and familiar with the uses of data analysis in their
professional lives.
Conclusion
This document discusses the many phases of architectural design work in which probability and
statistics play a role. They are first used to evaluate different options for siting a project. Then to
document building needs into the future. During the following phase of work, architects run many
design choices through simulations that evaluate and present various design choices in building
performance. Finally, owners use probability and statistics to collect data and analyze building
performance outcomes. Clients are frequently connecting these outcomes to completing payment
of architectural contracts. For this reason, as with many fields, using and evaluating data in a wide
range of probability and statistics applications is a skill that employers have indicated is critical.
When we prepare to graduate, we now know this is a skill we must have to start on a path of
financial and professional success
References
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. Retrieved
from https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-new-
normal-2020-04-03/
Chilton, J. J. & Baldry, D. (1997). The effects of integrated workplace strategies on commercial
office space. Facilities, 15(7/8), 187-194. doi: 10.1108/02632779710168227
Davis, D. (2015, April 23). How big data is transforming architecture.: The phenomenon presents
hug opportunities for the built environment and the firms that design it. Architect.
Sheila Gobes-Ryan 4
Retrieved from https://www.architectmagazine.com/technology/how-big-data-is-
transforming-architecture_o
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modelling:
Assessing impacts and overcoming availability challenges. Energies 13. doi:
10.3390/en13164244
Intalytics, (2021). Precise recommendations back by sound science. Kalibrate Company.
https://intalytics.com/real-estate-solutions/
Vangelatos, G. (2018, October 12). How architects help increase patient satisfaction in healthcare
through building design.
Yaglewad, S. (2020, May 19). How is statistics used in architecture? What After College. Retrieved
from https://whataftercollege.com/data-science/statistics-used-in-
architecture/#:~:text=How%20is%20Statistics%20used%20in%20Architecture%3F&text=W
hen%20an%20architectural%20project%20is,use%20for%20the%20end%2Dusers.
https://www.architectmagazine.com/technology/how-big-data-is-transforming-architecture_o
https://www.architectmagazine.com/technology/how-big-data-is-transforming-architecture_o
- You may be thinking that this is a skill set you can skip and allow others to bring to architectural firms. However, recent data from the National Architectural Education Association (NAEA) (2020) suggests you should think again about this.
- Surveys completed across 2,456 participating architectural practices show that 93% of these firms of all sizes use statistical data in multiple phases of their design work. For this reason, 85% of these firms identified data literacy as a skill they c…
- This data suggest that architecture programs are not preparing students for the data literacy demands of their profession. Conversely, this preparation deficit provides a distinct advantage for architecture students who become data literate and famili…
Your Title Here
Introduction
Text of your Introduction here.
The Use of Probability and Statistics in [Your Field/Department]
Text of this section
Subtitles if Used
Text of this section
Probability and Statistics Literacy will Enhance Your Employability
Text of this section
Conclusion
Text of your Introduction here.
References
1
image1
Name:
Element 1: Use of Statistics in [Your field]
Source 1:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 2:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 3:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 4:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Element 2: Probability and Statistics Literacy will Enhance Your Employability
Source 1
In-text citation
Reference Listing for this source
What data from each document you will use to support your argument? You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument
How you will use the numerical data to support your argument.
Source 2
In-text citation
Reference Listing for this source
What data from each document you will use to support your argument? You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument
How you will use the numerical data to support your argument.
Element 3: Reference List (remember to alphabetize the reference list by the first name or word in the reference item.)
Element 4: Engaging your Audience
Something Aspirational to start your document
Thesis Statement
For final
Your document purpose is to persuade first year students in your field of the importance of probability and statistics to your field (department or program).
The tone of this document is to be professional, but accessible. Important considerations for a well written document include:
· Flow at the document, paragraph and sentence level.
· Using topic sentences in each section.
· Using section headers and sub-headers, as identified below and shown in the example document.
You may refer to the
professional and general writing
resources page for tools to help with your writing. You may also work with the
Writing Studio Links to an external site.
at the USF Library; this requires planning, as it is best to have an appointment to be assured of having someone to work with.
You will include the following sections:
·
A Document Title. Document titles must briefly and precisely indicate the topic of the document. Ideally, it is also something that will catch the readers’ attention.
·
Introduction. The
introduction Links to an external site.
must accomplish the following:
· Introduces the audience to the topic and its importance. Given the audience you are writing to, first-person is appropriate, as it is your experience as a more advanced student that makes you credible.
Consider as you finalize your introduction, that the USF students you are writing to are diverse in many ways, including in age, life/professional experience, and cultural background. You must speak to all of them, not just to the ones that are like you.
· Includes a
thesis statement
Links to an external site.
that makes the primary claim you will argue in this handout and what you will say about it.
· States how you will use the document to support your argument.
· Present this in a concise, clear paragraph that makes the reader want to read your handout.
After you complete the body of your document, review your introduction to make sure it accurately states what you accomplished with the document. Revise the document as needed to make sure the introduction and the document body work together.
·
The Use of Statistics in [Your Field]. Using the information that you found in the preliminary phase of this assignment, develop this section. This section will start with an introductory paragraph giving students an overview of the different work aspects you will address. This is followed by 3 subsections (with sub-titles) describing the specific aspects of work for which statistics are used and then discussing specifically how probability or statistics enables the work to be accomplished. This section must have in-text citations to demonstrate you have researched the topic using credible sources.
·
Probability and Statistics Literacy will Enhance Your Employability. Develop a written argument using the data provided to indicate how proficiency in probability and statistics will help to develop competency/competencies employers find look for when hiring recent college graduates. Select only the competency or competencies that are core learning outcomes to this course, (you may not use all of the competencies the webpages identify). Additionally you must incorporate numerical data from both web pages into the argument.
·
Conclusion. The conclusion is a summary of your ENTIRE document. It summarizes what you have done to support you thesis, and includes a reworded restatement of your thesis. It ends with a reminder to the readers of the importance of all of this for their professional future.
·
Reference List. The document will end with an
APA formatted reference list Links to an external site.
Links to an external site.
with a minimum of four (4) references. Each source on the reference list must have at least one
APA formatted in-text citation Links to an external site.
in your document. Citations are required any place in your document where you have used the ideas, data, or images of others.
Word Count: 1000 – 1400 words (not including the reference list.) This is a guide and is most important at the lower end; if your document is shorter than 1000 words, it is likely that it is lacking the detail needed.
For preliminary
Element 1: The Use of Statistics In [Your Field] * –
You may work with other students in your major on selecting uses, finding sources, and completing APA in-text citations and your reference list for this part of the assignment. However, writing your document MUST be completed individually.
Review the
Probability and Statistics in Engineering and Computer Science
Download Probability and Statistics in Engineering and Computer Science
article and resources to develop an understanding of the ways in which your field/major*** uses probability and statistics in the work done. Select 3 applications or tasks that are relevant to your field to research in more detail. To write this well you will need at least one source that helps you identify tasks that are accomplished using probability and statistics in your field, sources to help you describe the tasks, and sources to help you describe how probability and/or statistics are used to enable accomplishing the task. These sources should provide you with information that will allow you to develop 3 clearly presented examples of how probability and statistics are used in your field.
· You must use** a minimum of 4 cited sources for this section. However, you must also have sources to support what you say, which may require you to use additional sources.
*The Use of brackets indicates that you will replace the brackets and the words inside with ones that are appropriate to you and your work.
**Using a source means that you are synthesizing the ideas from the work of another into the original ideas you are putting forward in your work. You will have at least one in-text citation and reference list item using APA formatting for each source. Adding sources to the reference list without an in-text citation will result in no credit for that source.
***This section of the assignment has one required source. A minimum of three sources are required for this section which may come from the resources list or other CREDIBLE sources. Wikipedia may not be used as a source BUT its reference lists may be checked for credible sources.
****USF College of Engineering Majors are departments or major topic areas in departments, they include: Biomedical engineering, chemical engineering, civil engineering, structural engineering, environmental engineering, transportation engineering, computer science, computer engineering, cybersecurity, electrical engineering, industrial engineering, and mechanical engineering
Work to Submit. Complete all of the required information for each source you will use.
Element 2: Probability and Statistics Literacy will Enhance Your Employability.
For this section of your document you will read, interpret, and use descriptive statistics to make an argument that proficiency with probability and statistics will help students get a job when they graduate using the sources provided, these are:
The Four Career Competencies Employers Value Most
Links to an external site.
by NACE Staff
Are College Graduates “Career Ready”?
Links to an external site.
by NACE Staff
You must incorporate data from both sources, meaning you will have at least two points to make with the data as part of this section.
Work to Submit: For this part of the assignment, you will complete the following for each source you use, including the four provided.
· An APA formatted reference list item
· An in-text citation formatted in APA format
· For each source, a brief explanation of
1. What data from each document you will use to support your argument. You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument. For the source you use for the definition of the competencies list the competency or competencies you believe you will enhance in the probability and statistics course. You may not select all as being relevant to this course, you must think about, and make a choice about which competencies are core learning outcomes of this course and make an argument to support that.
2. How you will use the numerical data to support your argument. For the source you use for the definition of the competencies you will describe the way you will incorporate an understanding of the competency into your final document.
Element 3: Reference List (You may work with your assigned groups to complete the reference list.)
Work to Submit: Using the reference list items from above and any extra sources you plan to use, create an APA formatted reference list. You will have a minimum of 4 sources. It is important that your reference listings have the correct information, in the correct order, and that the items and list are formatted correctly. For the reference section, make sure the listings are alphabetized so they can be easily found. Use the APA formatting resources in your reading to help you with this. BEWARE: citation generators are often wrong; you can start with them BUT must revise any that are incorrect.
Element 4: Engaging Your Audience
For this section you will
1. Think about and describe a significant, shared aspirational goal or goals of young professionals entering the field. This goal will be something you can use to engage your readers as you start the document. In the example you will see for architecture students this is to design iconic buildings.
2. Develop a
thesis statement
Name: Herta Ayrton
Element 1: Use of Statistics in architecture
Source 1:
In-text citation
(Carbonnier, 2020)
Reference Listing for this source
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. HCM
Architects. https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
new-normal-2020-04-03/
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article defines zero net energy buildings and design strategies. It explains how
statistics are collected from IoT data sources and used in GIS to inform building form and
location decisions to maximize energy performance by evaluating sun, wind, and light. I will be
using Zero Net Energy buildings as an example of the use of statistics in the design phase of an
architectural design process.
Source 2:
In-text citation
(Gobes-Ryan, 2022)
Reference Listing for this source
Gobes-Ryan, S. (2022). The importance of probability and statistics in engineering and computer
science. https://usflearn.instructure.com/courses/1664254/pages/the-importance-of-
probability-and-statistics-in-engineering-and-computer-science
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article provides insight into how probability and statistics are used across many of the
disciplines in our college.
https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
Source 3:
In-text citation
(Goy, Maréchal, & Finn, 2020)
Reference Listing for this source
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modeling:
Assessing impacts and overcoming availability challenges. Energies (Basel), 13(16)
4244. doi: 10.3390/en13164244
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article addresses the use of data in building energy modeling and where there are gaps
in the data. This is the most essential source I have for understanding how data is used in
building energy modeling.
Element 2: Probability and Statistics Literacy will Enhance Your
Employability examples are not provided for this section; the questions are
straightforward
What statistical parameters are you able to determine in the data provided?
Given the type of data you are provided, and the question being asked is the mean or median the
most appropriate measure of location to use? Why?
Is a measure of spread important to the question being ask? Why or why not?
Is the data provided
Discrete OR Continuous
Numerical OR Categorical
Of the data provided, which important skill(s) will you hone within the math part of your
statistics course? How is this connected to having probability and statistics proficiency?
What two categories of data are provided in the data set?
How can each of these be used to support the case you will make in the IDL 1 Final?
Develop a table that is clear, easy to read and is organized to highlight the most important data to
your argument.
Element 3: Reference list
Hints: Reference lists in APA format are organized alphabetically by the first letter of the
reference item. This is done to make it easy for readers to find as the in-text citation starts with
the same words/names
Reference List
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. HCM
Architects. https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
new-normal-2020-04-03/
Gobes-Ryan, S. (2022). The importance of probability and statistics in engineering and computer
science. https://usflearn.instructure.com/courses/1664254/pages/the-importance-of-
probability-and-statistics-in-engineering-and-computer-science
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modelling:
Assessing impacts and overcoming availability challenges. Energies (Basel), 13(16)
4244. doi: 10.3390/en13164244
Element 4: Appealing to your audience
Describe the aspirational goal of a professional in your field
create iconic buildings
Develop a preliminary thesis statement for your document? (What is it about and
why does that matter?)
Probability and statistics proficiencies are essential skills for those who aim to create the high
performing architecture possible for our generation.
Sheila Gobes-Ryan 1
Probability and Statistics are the Foundation
for Building Your Architectural Career
Introduction
As future architects, we all dream of creating iconic buildings that result in professional recognition
and financial success. Increases in ‘big data’ and the technologies to analyze these data sets more
effectively make it possible to improve the quality of our designs in significant ways during the
design process. However, to integrate these big-data benefits into our design solutions, we need to
become proficient in probability and statistics while in school.
To illustrate this to you, I will describe how probability and statistics are used in architectural
design and show that this skill will help start your career when you graduate. First, I will discuss the
uses of probability and statistics for improving the outcomes of several phases of architectural
projects. Then I will talk to you about the importance of having the skill to complete data analysis
when starting your career.
The Use of Probability and Statistics in Architecture
Design Phase Use of Probability and Statistics
Architects use probability and statistics during different phases of projects to improve and evaluate
the effectiveness of their built projects. In the following sections, I will present the use of
probability and statistics in four project phases:
1. Architects use probability and statistics during site selection to analyze relevant data.
2. In pre-design, they analyze client needs and evaluate their client’s industry space use trends.
3. During design, they assess the layout and material options against existing performance data.
4. In post-occupancy, they evaluate the performance of the space against project goals,
comparable properties, and performance standards and requirements.
By integrating data-driven decisions into the design process, architects can be confident that they
will achieve the high client satisfaction needed for financial success.
Probability and Statistics in Site Selection
An organization’s selection of location impacts many aspects of business success. The decision
may be which city to locate in, what city section to move to, or what specific property to occupy.
However, for each decision, organizations must consider a wide range of business impacts that
location choices can have and if these will be positive or negative for their business. With statistical
and probabilistic analysis, architects can present the business impacts of many factors based on
current data and predicting how many factors are likely to develop in the future. These factors
include access to employees with the necessary skills, proximity to clients or customers, local cost
of living and expected wages, and commute time and transportation access for employees.
Sheila Gobes-Ryan 2
Architects can use these analyses to combine client data, publicly available data, and mobile device
data to make data-driven site selection decisions (Intalytic, 2021). With this, architects provide
their clients with better business outcomes.
Probability and Statistics in Pre-Design
Architects collect and evaluate data statistically during the pre-design stage to determine building
space needs (Vangelatos, 2018) currently and into the future. Input from client interviews and
surveys, company growth projections, and industry benchmarks are all integrated into space needs
and acquisition decisions. Client organizations will rely on the dependability of this work as they
sign leases that extend for years or sometimes decades.
Probability and Statistics in the Design Phase
During the design phase, architects make decisions on materials and building systems so that
projects meet current regulations for things such as energy and water use (Yaglewad, 2020).
Additionally, we are often required to go beyond this to meet standards like the LEEDS
Sustainable Buildings Certification and Zero Net Energy (Carbonnier, 2020). Our ability to run
virtual simulations that statistically evaluate and present a wide range of design, material, and
construction options is critical to our success in this phase. These simulations integrate physics and
statistics to provide sophisticated examinations of building performance of various design choices.
Findings from these simulations allow architects to make changes to improve building performance
before anything is built (Goy, Maréchal, and Finn, 2020).
Post Occupancy Evaluations with Probability and Statistics
After clients move into buildings, sensors connected to the internet can measure and evaluate
actual building performance (Davis, 2015). Owners can assess building performance against
building code requirements and targeted certification programs, such as LEED (Davis, 2015).
With the decrease in the cost of monitoring systems, building owners and occupants are using
these systems to collect and evaluate data on building use and building systems performance in
increasingly complex ways. Vendors of building systems components are creating sophisticated
data visualizations to present this data in easy-to-understand formats.
Clients are using these analyses to move toward performance-based contracts with architects.
These contracts hold back part of the design fees until clients evaluate the buildings resulting from
an architect’s design against required performance standards (Davis, 2015). To get the
compensation they are due, architects’ pre-design systems of evaluation must match the post-
occupancy performance of the resulting buildings. As a result, architects now have a significant
financial stake in the accuracy of the probability and statistical analyses they complete.
Sheila Gobes-Ryan 3
Probability and Statistics Literacy will Enhance Your Employability
You may be thinking that this is a skill set you can skip and allow others to bring to architectural
firms. However, recent data from the National Architectural Education Association (NAEA)
(2020) suggests you should think again about this.
Surveys completed across 2,456 participating architectural practices show that 93% of these firms
of all sizes use statistical data in multiple phases of their design work. For this reason, 85% of these
firms identified data literacy as a skill they consider significant for new employees. This skill
ranked higher in importance than traditional skills such as CAD proficiency. In follow-up
interviews with 200 firm leaders, 87% identified recent graduates’ data literacy as inadequate for the
work demands of entry-level positions. This deficiency did not align with the finding that 70% of
architecture school faculty believed they were preparing their students for the data literacy
demands of the profession. Most challenging was that only 17% of architecture students identified
data literacy as a necessary professional skill (NAEA, 2020).
This data suggest that architecture programs are not preparing students for the data literacy
demands of their profession. Conversely, this preparation deficit provides a distinct advantage for
architecture students who become data literate and familiar with the uses of data analysis in their
professional lives.
Conclusion
This document discusses the many phases of architectural design work in which probability and
statistics play a role. They are first used to evaluate different options for siting a project. Then to
document building needs into the future. During the following phase of work, architects run many
design choices through simulations that evaluate and present various design choices in building
performance. Finally, owners use probability and statistics to collect data and analyze building
performance outcomes. Clients are frequently connecting these outcomes to completing payment
of architectural contracts. For this reason, as with many fields, using and evaluating data in a wide
range of probability and statistics applications is a skill that employers have indicated is critical.
When we prepare to graduate, we now know this is a skill we must have to start on a path of
financial and professional success
References
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. Retrieved
from https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-new-
normal-2020-04-03/
Chilton, J. J. & Baldry, D. (1997). The effects of integrated workplace strategies on commercial
office space. Facilities, 15(7/8), 187-194. doi: 10.1108/02632779710168227
Davis, D. (2015, April 23). How big data is transforming architecture.: The phenomenon presents
hug opportunities for the built environment and the firms that design it. Architect.
Sheila Gobes-Ryan 4
Retrieved from https://www.architectmagazine.com/technology/how-big-data-is-
transforming-architecture_o
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modelling:
Assessing impacts and overcoming availability challenges. Energies 13. doi:
10.3390/en13164244
Intalytics, (2021). Precise recommendations back by sound science. Kalibrate Company.
https://intalytics.com/real-estate-solutions/
Vangelatos, G. (2018, October 12). How architects help increase patient satisfaction in healthcare
through building design.
Yaglewad, S. (2020, May 19). How is statistics used in architecture? What After College. Retrieved
from https://whataftercollege.com/data-science/statistics-used-in-
architecture/#:~:text=How%20is%20Statistics%20used%20in%20Architecture%3F&text=W
hen%20an%20architectural%20project%20is,use%20for%20the%20end%2Dusers.
https://www.architectmagazine.com/technology/how-big-data-is-transforming-architecture_o
https://www.architectmagazine.com/technology/how-big-data-is-transforming-architecture_o
- You may be thinking that this is a skill set you can skip and allow others to bring to architectural firms. However, recent data from the National Architectural Education Association (NAEA) (2020) suggests you should think again about this.
- Surveys completed across 2,456 participating architectural practices show that 93% of these firms of all sizes use statistical data in multiple phases of their design work. For this reason, 85% of these firms identified data literacy as a skill they c…
- This data suggest that architecture programs are not preparing students for the data literacy demands of their profession. Conversely, this preparation deficit provides a distinct advantage for architecture students who become data literate and famili…
Your Title Here
Introduction
Text of your Introduction here.
The Use of Probability and Statistics in [Your Field/Department]
Text of this section
Subtitles if Used
Text of this section
Probability and Statistics Literacy will Enhance Your Employability
Text of this section
Conclusion
Text of your Introduction here.
References
1
image1
Name:
Element 1: Use of Statistics in [Your field]
Source 1:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 2:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 3:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 4:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Element 2: Probability and Statistics Literacy will Enhance Your Employability
Source 1
In-text citation
Reference Listing for this source
What data from each document you will use to support your argument? You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument
How you will use the numerical data to support your argument.
Source 2
In-text citation
Reference Listing for this source
What data from each document you will use to support your argument? You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument
How you will use the numerical data to support your argument.
Element 3: Reference List (remember to alphabetize the reference list by the first name or word in the reference item.)
Element 4: Engaging your Audience
Something Aspirational to start your document
Thesis Statement
For final
Your document purpose is to persuade first year students in your field of the importance of probability and statistics to your field (department or program).
The tone of this document is to be professional, but accessible. Important considerations for a well written document include:
· Flow at the document, paragraph and sentence level.
· Using topic sentences in each section.
· Using section headers and sub-headers, as identified below and shown in the example document.
You may refer to the
professional and general writing
resources page for tools to help with your writing. You may also work with the
Writing Studio Links to an external site.
at the USF Library; this requires planning, as it is best to have an appointment to be assured of having someone to work with.
You will include the following sections:
·
A Document Title. Document titles must briefly and precisely indicate the topic of the document. Ideally, it is also something that will catch the readers’ attention.
·
Introduction. The
introduction Links to an external site.
must accomplish the following:
· Introduces the audience to the topic and its importance. Given the audience you are writing to, first-person is appropriate, as it is your experience as a more advanced student that makes you credible.
Consider as you finalize your introduction, that the USF students you are writing to are diverse in many ways, including in age, life/professional experience, and cultural background. You must speak to all of them, not just to the ones that are like you.
· Includes a
thesis statement
Links to an external site.
that makes the primary claim you will argue in this handout and what you will say about it.
· States how you will use the document to support your argument.
· Present this in a concise, clear paragraph that makes the reader want to read your handout.
After you complete the body of your document, review your introduction to make sure it accurately states what you accomplished with the document. Revise the document as needed to make sure the introduction and the document body work together.
·
The Use of Statistics in [Your Field]. Using the information that you found in the preliminary phase of this assignment, develop this section. This section will start with an introductory paragraph giving students an overview of the different work aspects you will address. This is followed by 3 subsections (with sub-titles) describing the specific aspects of work for which statistics are used and then discussing specifically how probability or statistics enables the work to be accomplished. This section must have in-text citations to demonstrate you have researched the topic using credible sources.
·
Probability and Statistics Literacy will Enhance Your Employability. Develop a written argument using the data provided to indicate how proficiency in probability and statistics will help to develop competency/competencies employers find look for when hiring recent college graduates. Select only the competency or competencies that are core learning outcomes to this course, (you may not use all of the competencies the webpages identify). Additionally you must incorporate numerical data from both web pages into the argument.
·
Conclusion. The conclusion is a summary of your ENTIRE document. It summarizes what you have done to support you thesis, and includes a reworded restatement of your thesis. It ends with a reminder to the readers of the importance of all of this for their professional future.
·
Reference List. The document will end with an
APA formatted reference list Links to an external site.
Links to an external site.
with a minimum of four (4) references. Each source on the reference list must have at least one
APA formatted in-text citation Links to an external site.
in your document. Citations are required any place in your document where you have used the ideas, data, or images of others.
Word Count: 1000 – 1400 words (not including the reference list.) This is a guide and is most important at the lower end; if your document is shorter than 1000 words, it is likely that it is lacking the detail needed.
For preliminary
Element 1: The Use of Statistics In [Your Field] * –
You may work with other students in your major on selecting uses, finding sources, and completing APA in-text citations and your reference list for this part of the assignment. However, writing your document MUST be completed individually.
Review the
Probability and Statistics in Engineering and Computer Science
Download Probability and Statistics in Engineering and Computer Science
article and resources to develop an understanding of the ways in which your field/major*** uses probability and statistics in the work done. Select 3 applications or tasks that are relevant to your field to research in more detail. To write this well you will need at least one source that helps you identify tasks that are accomplished using probability and statistics in your field, sources to help you describe the tasks, and sources to help you describe how probability and/or statistics are used to enable accomplishing the task. These sources should provide you with information that will allow you to develop 3 clearly presented examples of how probability and statistics are used in your field.
· You must use** a minimum of 4 cited sources for this section. However, you must also have sources to support what you say, which may require you to use additional sources.
*The Use of brackets indicates that you will replace the brackets and the words inside with ones that are appropriate to you and your work.
**Using a source means that you are synthesizing the ideas from the work of another into the original ideas you are putting forward in your work. You will have at least one in-text citation and reference list item using APA formatting for each source. Adding sources to the reference list without an in-text citation will result in no credit for that source.
***This section of the assignment has one required source. A minimum of three sources are required for this section which may come from the resources list or other CREDIBLE sources. Wikipedia may not be used as a source BUT its reference lists may be checked for credible sources.
****USF College of Engineering Majors are departments or major topic areas in departments, they include: Biomedical engineering, chemical engineering, civil engineering, structural engineering, environmental engineering, transportation engineering, computer science, computer engineering, cybersecurity, electrical engineering, industrial engineering, and mechanical engineering
Work to Submit. Complete all of the required information for each source you will use.
Element 2: Probability and Statistics Literacy will Enhance Your Employability.
For this section of your document you will read, interpret, and use descriptive statistics to make an argument that proficiency with probability and statistics will help students get a job when they graduate using the sources provided, these are:
The Four Career Competencies Employers Value Most
Links to an external site.
by NACE Staff
Are College Graduates “Career Ready”?
Links to an external site.
by NACE Staff
You must incorporate data from both sources, meaning you will have at least two points to make with the data as part of this section.
Work to Submit: For this part of the assignment, you will complete the following for each source you use, including the four provided.
· An APA formatted reference list item
· An in-text citation formatted in APA format
· For each source, a brief explanation of
1. What data from each document you will use to support your argument. You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument. For the source you use for the definition of the competencies list the competency or competencies you believe you will enhance in the probability and statistics course. You may not select all as being relevant to this course, you must think about, and make a choice about which competencies are core learning outcomes of this course and make an argument to support that.
2. How you will use the numerical data to support your argument. For the source you use for the definition of the competencies you will describe the way you will incorporate an understanding of the competency into your final document.
Element 3: Reference List (You may work with your assigned groups to complete the reference list.)
Work to Submit: Using the reference list items from above and any extra sources you plan to use, create an APA formatted reference list. You will have a minimum of 4 sources. It is important that your reference listings have the correct information, in the correct order, and that the items and list are formatted correctly. For the reference section, make sure the listings are alphabetized so they can be easily found. Use the APA formatting resources in your reading to help you with this. BEWARE: citation generators are often wrong; you can start with them BUT must revise any that are incorrect.
Element 4: Engaging Your Audience
For this section you will
1. Think about and describe a significant, shared aspirational goal or goals of young professionals entering the field. This goal will be something you can use to engage your readers as you start the document. In the example you will see for architecture students this is to design iconic buildings.
2. Develop a
thesis statement
Name: Herta Ayrton
Element 1: Use of Statistics in architecture
Source 1:
In-text citation
(Carbonnier, 2020)
Reference Listing for this source
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. HCM
Architects. https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
new-normal-2020-04-03/
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article defines zero net energy buildings and design strategies. It explains how
statistics are collected from IoT data sources and used in GIS to inform building form and
location decisions to maximize energy performance by evaluating sun, wind, and light. I will be
using Zero Net Energy buildings as an example of the use of statistics in the design phase of an
architectural design process.
Source 2:
In-text citation
(Gobes-Ryan, 2022)
Reference Listing for this source
Gobes-Ryan, S. (2022). The importance of probability and statistics in engineering and computer
science. https://usflearn.instructure.com/courses/1664254/pages/the-importance-of-
probability-and-statistics-in-engineering-and-computer-science
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article provides insight into how probability and statistics are used across many of the
disciplines in our college.
https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
Source 3:
In-text citation
(Goy, Maréchal, & Finn, 2020)
Reference Listing for this source
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modeling:
Assessing impacts and overcoming availability challenges. Energies (Basel), 13(16)
4244. doi: 10.3390/en13164244
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article addresses the use of data in building energy modeling and where there are gaps
in the data. This is the most essential source I have for understanding how data is used in
building energy modeling.
Element 2: Probability and Statistics Literacy will Enhance Your
Employability examples are not provided for this section; the questions are
straightforward
What statistical parameters are you able to determine in the data provided?
Given the type of data you are provided, and the question being asked is the mean or median the
most appropriate measure of location to use? Why?
Is a measure of spread important to the question being ask? Why or why not?
Is the data provided
Discrete OR Continuous
Numerical OR Categorical
Of the data provided, which important skill(s) will you hone within the math part of your
statistics course? How is this connected to having probability and statistics proficiency?
What two categories of data are provided in the data set?
How can each of these be used to support the case you will make in the IDL 1 Final?
Develop a table that is clear, easy to read and is organized to highlight the most important data to
your argument.
Element 3: Reference list
Hints: Reference lists in APA format are organized alphabetically by the first letter of the
reference item. This is done to make it easy for readers to find as the in-text citation starts with
the same words/names
Reference List
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. HCM
Architects. https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
new-normal-2020-04-03/
Gobes-Ryan, S. (2022). The importance of probability and statistics in engineering and computer
science. https://usflearn.instructure.com/courses/1664254/pages/the-importance-of-
probability-and-statistics-in-engineering-and-computer-science
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modelling:
Assessing impacts and overcoming availability challenges. Energies (Basel), 13(16)
4244. doi: 10.3390/en13164244
Element 4: Appealing to your audience
Describe the aspirational goal of a professional in your field
create iconic buildings
Develop a preliminary thesis statement for your document? (What is it about and
why does that matter?)
Probability and statistics proficiencies are essential skills for those who aim to create the high
performing architecture possible for our generation.
Sheila Gobes-Ryan 1
Probability and Statistics are the Foundation
for Building Your Architectural Career
Introduction
As future architects, we all dream of creating iconic buildings that result in professional recognition
and financial success. Increases in ‘big data’ and the technologies to analyze these data sets more
effectively make it possible to improve the quality of our designs in significant ways during the
design process. However, to integrate these big-data benefits into our design solutions, we need to
become proficient in probability and statistics while in school.
To illustrate this to you, I will describe how probability and statistics are used in architectural
design and show that this skill will help start your career when you graduate. First, I will discuss the
uses of probability and statistics for improving the outcomes of several phases of architectural
projects. Then I will talk to you about the importance of having the skill to complete data analysis
when starting your career.
The Use of Probability and Statistics in Architecture
Design Phase Use of Probability and Statistics
Architects use probability and statistics during different phases of projects to improve and evaluate
the effectiveness of their built projects. In the following sections, I will present the use of
probability and statistics in four project phases:
1. Architects use probability and statistics during site selection to analyze relevant data.
2. In pre-design, they analyze client needs and evaluate their client’s industry space use trends.
3. During design, they assess the layout and material options against existing performance data.
4. In post-occupancy, they evaluate the performance of the space against project goals,
comparable properties, and performance standards and requirements.
By integrating data-driven decisions into the design process, architects can be confident that they
will achieve the high client satisfaction needed for financial success.
Probability and Statistics in Site Selection
An organization’s selection of location impacts many aspects of business success. The decision
may be which city to locate in, what city section to move to, or what specific property to occupy.
However, for each decision, organizations must consider a wide range of business impacts that
location choices can have and if these will be positive or negative for their business. With statistical
and probabilistic analysis, architects can present the business impacts of many factors based on
current data and predicting how many factors are likely to develop in the future. These factors
include access to employees with the necessary skills, proximity to clients or customers, local cost
of living and expected wages, and commute time and transportation access for employees.
Sheila Gobes-Ryan 2
Architects can use these analyses to combine client data, publicly available data, and mobile device
data to make data-driven site selection decisions (Intalytic, 2021). With this, architects provide
their clients with better business outcomes.
Probability and Statistics in Pre-Design
Architects collect and evaluate data statistically during the pre-design stage to determine building
space needs (Vangelatos, 2018) currently and into the future. Input from client interviews and
surveys, company growth projections, and industry benchmarks are all integrated into space needs
and acquisition decisions. Client organizations will rely on the dependability of this work as they
sign leases that extend for years or sometimes decades.
Probability and Statistics in the Design Phase
During the design phase, architects make decisions on materials and building systems so that
projects meet current regulations for things such as energy and water use (Yaglewad, 2020).
Additionally, we are often required to go beyond this to meet standards like the LEEDS
Sustainable Buildings Certification and Zero Net Energy (Carbonnier, 2020). Our ability to run
virtual simulations that statistically evaluate and present a wide range of design, material, and
construction options is critical to our success in this phase. These simulations integrate physics and
statistics to provide sophisticated examinations of building performance of various design choices.
Findings from these simulations allow architects to make changes to improve building performance
before anything is built (Goy, Maréchal, and Finn, 2020).
Post Occupancy Evaluations with Probability and Statistics
After clients move into buildings, sensors connected to the internet can measure and evaluate
actual building performance (Davis, 2015). Owners can assess building performance against
building code requirements and targeted certification programs, such as LEED (Davis, 2015).
With the decrease in the cost of monitoring systems, building owners and occupants are using
these systems to collect and evaluate data on building use and building systems performance in
increasingly complex ways. Vendors of building systems components are creating sophisticated
data visualizations to present this data in easy-to-understand formats.
Clients are using these analyses to move toward performance-based contracts with architects.
These contracts hold back part of the design fees until clients evaluate the buildings resulting from
an architect’s design against required performance standards (Davis, 2015). To get the
compensation they are due, architects’ pre-design systems of evaluation must match the post-
occupancy performance of the resulting buildings. As a result, architects now have a significant
financial stake in the accuracy of the probability and statistical analyses they complete.
Sheila Gobes-Ryan 3
Probability and Statistics Literacy will Enhance Your Employability
You may be thinking that this is a skill set you can skip and allow others to bring to architectural
firms. However, recent data from the National Architectural Education Association (NAEA)
(2020) suggests you should think again about this.
Surveys completed across 2,456 participating architectural practices show that 93% of these firms
of all sizes use statistical data in multiple phases of their design work. For this reason, 85% of these
firms identified data literacy as a skill they consider significant for new employees. This skill
ranked higher in importance than traditional skills such as CAD proficiency. In follow-up
interviews with 200 firm leaders, 87% identified recent graduates’ data literacy as inadequate for the
work demands of entry-level positions. This deficiency did not align with the finding that 70% of
architecture school faculty believed they were preparing their students for the data literacy
demands of the profession. Most challenging was that only 17% of architecture students identified
data literacy as a necessary professional skill (NAEA, 2020).
This data suggest that architecture programs are not preparing students for the data literacy
demands of their profession. Conversely, this preparation deficit provides a distinct advantage for
architecture students who become data literate and familiar with the uses of data analysis in their
professional lives.
Conclusion
This document discusses the many phases of architectural design work in which probability and
statistics play a role. They are first used to evaluate different options for siting a project. Then to
document building needs into the future. During the following phase of work, architects run many
design choices through simulations that evaluate and present various design choices in building
performance. Finally, owners use probability and statistics to collect data and analyze building
performance outcomes. Clients are frequently connecting these outcomes to completing payment
of architectural contracts. For this reason, as with many fields, using and evaluating data in a wide
range of probability and statistics applications is a skill that employers have indicated is critical.
When we prepare to graduate, we now know this is a skill we must have to start on a path of
financial and professional success
References
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. Retrieved
from https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-new-
normal-2020-04-03/
Chilton, J. J. & Baldry, D. (1997). The effects of integrated workplace strategies on commercial
office space. Facilities, 15(7/8), 187-194. doi: 10.1108/02632779710168227
Davis, D. (2015, April 23). How big data is transforming architecture.: The phenomenon presents
hug opportunities for the built environment and the firms that design it. Architect.
Sheila Gobes-Ryan 4
Retrieved from https://www.architectmagazine.com/technology/how-big-data-is-
transforming-architecture_o
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modelling:
Assessing impacts and overcoming availability challenges. Energies 13. doi:
10.3390/en13164244
Intalytics, (2021). Precise recommendations back by sound science. Kalibrate Company.
https://intalytics.com/real-estate-solutions/
Vangelatos, G. (2018, October 12). How architects help increase patient satisfaction in healthcare
through building design.
Yaglewad, S. (2020, May 19). How is statistics used in architecture? What After College. Retrieved
from https://whataftercollege.com/data-science/statistics-used-in-
architecture/#:~:text=How%20is%20Statistics%20used%20in%20Architecture%3F&text=W
hen%20an%20architectural%20project%20is,use%20for%20the%20end%2Dusers.
https://www.architectmagazine.com/technology/how-big-data-is-transforming-architecture_o
https://www.architectmagazine.com/technology/how-big-data-is-transforming-architecture_o
- You may be thinking that this is a skill set you can skip and allow others to bring to architectural firms. However, recent data from the National Architectural Education Association (NAEA) (2020) suggests you should think again about this.
- Surveys completed across 2,456 participating architectural practices show that 93% of these firms of all sizes use statistical data in multiple phases of their design work. For this reason, 85% of these firms identified data literacy as a skill they c…
- This data suggest that architecture programs are not preparing students for the data literacy demands of their profession. Conversely, this preparation deficit provides a distinct advantage for architecture students who become data literate and famili…
Your Title Here
Introduction
Text of your Introduction here.
The Use of Probability and Statistics in [Your Field/Department]
Text of this section
Subtitles if Used
Text of this section
Probability and Statistics Literacy will Enhance Your Employability
Text of this section
Conclusion
Text of your Introduction here.
References
1
image1
Name:
Element 1: Use of Statistics in [Your field]
Source 1:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 2:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 3:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 4:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Element 2: Probability and Statistics Literacy will Enhance Your Employability
Source 1
In-text citation
Reference Listing for this source
What data from each document you will use to support your argument? You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument
How you will use the numerical data to support your argument.
Source 2
In-text citation
Reference Listing for this source
What data from each document you will use to support your argument? You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument
How you will use the numerical data to support your argument.
Element 3: Reference List (remember to alphabetize the reference list by the first name or word in the reference item.)
Element 4: Engaging your Audience
Something Aspirational to start your document
Thesis Statement
For final
Your document purpose is to persuade first year students in your field of the importance of probability and statistics to your field (department or program).
The tone of this document is to be professional, but accessible. Important considerations for a well written document include:
· Flow at the document, paragraph and sentence level.
· Using topic sentences in each section.
· Using section headers and sub-headers, as identified below and shown in the example document.
You may refer to the
professional and general writing
resources page for tools to help with your writing. You may also work with the
Writing Studio Links to an external site.
at the USF Library; this requires planning, as it is best to have an appointment to be assured of having someone to work with.
You will include the following sections:
·
A Document Title. Document titles must briefly and precisely indicate the topic of the document. Ideally, it is also something that will catch the readers’ attention.
·
Introduction. The
introduction Links to an external site.
must accomplish the following:
· Introduces the audience to the topic and its importance. Given the audience you are writing to, first-person is appropriate, as it is your experience as a more advanced student that makes you credible.
Consider as you finalize your introduction, that the USF students you are writing to are diverse in many ways, including in age, life/professional experience, and cultural background. You must speak to all of them, not just to the ones that are like you.
· Includes a
thesis statement
Links to an external site.
that makes the primary claim you will argue in this handout and what you will say about it.
· States how you will use the document to support your argument.
· Present this in a concise, clear paragraph that makes the reader want to read your handout.
After you complete the body of your document, review your introduction to make sure it accurately states what you accomplished with the document. Revise the document as needed to make sure the introduction and the document body work together.
·
The Use of Statistics in [Your Field]. Using the information that you found in the preliminary phase of this assignment, develop this section. This section will start with an introductory paragraph giving students an overview of the different work aspects you will address. This is followed by 3 subsections (with sub-titles) describing the specific aspects of work for which statistics are used and then discussing specifically how probability or statistics enables the work to be accomplished. This section must have in-text citations to demonstrate you have researched the topic using credible sources.
·
Probability and Statistics Literacy will Enhance Your Employability. Develop a written argument using the data provided to indicate how proficiency in probability and statistics will help to develop competency/competencies employers find look for when hiring recent college graduates. Select only the competency or competencies that are core learning outcomes to this course, (you may not use all of the competencies the webpages identify). Additionally you must incorporate numerical data from both web pages into the argument.
·
Conclusion. The conclusion is a summary of your ENTIRE document. It summarizes what you have done to support you thesis, and includes a reworded restatement of your thesis. It ends with a reminder to the readers of the importance of all of this for their professional future.
·
Reference List. The document will end with an
APA formatted reference list Links to an external site.
Links to an external site.
with a minimum of four (4) references. Each source on the reference list must have at least one
APA formatted in-text citation Links to an external site.
in your document. Citations are required any place in your document where you have used the ideas, data, or images of others.
Word Count: 1000 – 1400 words (not including the reference list.) This is a guide and is most important at the lower end; if your document is shorter than 1000 words, it is likely that it is lacking the detail needed.
For preliminary
Element 1: The Use of Statistics In [Your Field] * –
You may work with other students in your major on selecting uses, finding sources, and completing APA in-text citations and your reference list for this part of the assignment. However, writing your document MUST be completed individually.
Review the
Probability and Statistics in Engineering and Computer Science
Download Probability and Statistics in Engineering and Computer Science
article and resources to develop an understanding of the ways in which your field/major*** uses probability and statistics in the work done. Select 3 applications or tasks that are relevant to your field to research in more detail. To write this well you will need at least one source that helps you identify tasks that are accomplished using probability and statistics in your field, sources to help you describe the tasks, and sources to help you describe how probability and/or statistics are used to enable accomplishing the task. These sources should provide you with information that will allow you to develop 3 clearly presented examples of how probability and statistics are used in your field.
· You must use** a minimum of 4 cited sources for this section. However, you must also have sources to support what you say, which may require you to use additional sources.
*The Use of brackets indicates that you will replace the brackets and the words inside with ones that are appropriate to you and your work.
**Using a source means that you are synthesizing the ideas from the work of another into the original ideas you are putting forward in your work. You will have at least one in-text citation and reference list item using APA formatting for each source. Adding sources to the reference list without an in-text citation will result in no credit for that source.
***This section of the assignment has one required source. A minimum of three sources are required for this section which may come from the resources list or other CREDIBLE sources. Wikipedia may not be used as a source BUT its reference lists may be checked for credible sources.
****USF College of Engineering Majors are departments or major topic areas in departments, they include: Biomedical engineering, chemical engineering, civil engineering, structural engineering, environmental engineering, transportation engineering, computer science, computer engineering, cybersecurity, electrical engineering, industrial engineering, and mechanical engineering
Work to Submit. Complete all of the required information for each source you will use.
Element 2: Probability and Statistics Literacy will Enhance Your Employability.
For this section of your document you will read, interpret, and use descriptive statistics to make an argument that proficiency with probability and statistics will help students get a job when they graduate using the sources provided, these are:
The Four Career Competencies Employers Value Most
Links to an external site.
by NACE Staff
Are College Graduates “Career Ready”?
Links to an external site.
by NACE Staff
You must incorporate data from both sources, meaning you will have at least two points to make with the data as part of this section.
Work to Submit: For this part of the assignment, you will complete the following for each source you use, including the four provided.
· An APA formatted reference list item
· An in-text citation formatted in APA format
· For each source, a brief explanation of
1. What data from each document you will use to support your argument. You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument. For the source you use for the definition of the competencies list the competency or competencies you believe you will enhance in the probability and statistics course. You may not select all as being relevant to this course, you must think about, and make a choice about which competencies are core learning outcomes of this course and make an argument to support that.
2. How you will use the numerical data to support your argument. For the source you use for the definition of the competencies you will describe the way you will incorporate an understanding of the competency into your final document.
Element 3: Reference List (You may work with your assigned groups to complete the reference list.)
Work to Submit: Using the reference list items from above and any extra sources you plan to use, create an APA formatted reference list. You will have a minimum of 4 sources. It is important that your reference listings have the correct information, in the correct order, and that the items and list are formatted correctly. For the reference section, make sure the listings are alphabetized so they can be easily found. Use the APA formatting resources in your reading to help you with this. BEWARE: citation generators are often wrong; you can start with them BUT must revise any that are incorrect.
Element 4: Engaging Your Audience
For this section you will
1. Think about and describe a significant, shared aspirational goal or goals of young professionals entering the field. This goal will be something you can use to engage your readers as you start the document. In the example you will see for architecture students this is to design iconic buildings.
2. Develop a
thesis statement
Name: Herta Ayrton
Element 1: Use of Statistics in architecture
Source 1:
In-text citation
(Carbonnier, 2020)
Reference Listing for this source
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. HCM
Architects. https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
new-normal-2020-04-03/
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article defines zero net energy buildings and design strategies. It explains how
statistics are collected from IoT data sources and used in GIS to inform building form and
location decisions to maximize energy performance by evaluating sun, wind, and light. I will be
using Zero Net Energy buildings as an example of the use of statistics in the design phase of an
architectural design process.
Source 2:
In-text citation
(Gobes-Ryan, 2022)
Reference Listing for this source
Gobes-Ryan, S. (2022). The importance of probability and statistics in engineering and computer
science. https://usflearn.instructure.com/courses/1664254/pages/the-importance-of-
probability-and-statistics-in-engineering-and-computer-science
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article provides insight into how probability and statistics are used across many of the
disciplines in our college.
https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
Source 3:
In-text citation
(Goy, Maréchal, & Finn, 2020)
Reference Listing for this source
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modeling:
Assessing impacts and overcoming availability challenges. Energies (Basel), 13(16)
4244. doi: 10.3390/en13164244
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article addresses the use of data in building energy modeling and where there are gaps
in the data. This is the most essential source I have for understanding how data is used in
building energy modeling.
Element 2: Probability and Statistics Literacy will Enhance Your
Employability examples are not provided for this section; the questions are
straightforward
What statistical parameters are you able to determine in the data provided?
Given the type of data you are provided, and the question being asked is the mean or median the
most appropriate measure of location to use? Why?
Is a measure of spread important to the question being ask? Why or why not?
Is the data provided
Discrete OR Continuous
Numerical OR Categorical
Of the data provided, which important skill(s) will you hone within the math part of your
statistics course? How is this connected to having probability and statistics proficiency?
What two categories of data are provided in the data set?
How can each of these be used to support the case you will make in the IDL 1 Final?
Develop a table that is clear, easy to read and is organized to highlight the most important data to
your argument.
Element 3: Reference list
Hints: Reference lists in APA format are organized alphabetically by the first letter of the
reference item. This is done to make it easy for readers to find as the in-text citation starts with
the same words/names
Reference List
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. HCM
Architects. https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
new-normal-2020-04-03/
Gobes-Ryan, S. (2022). The importance of probability and statistics in engineering and computer
science. https://usflearn.instructure.com/courses/1664254/pages/the-importance-of-
probability-and-statistics-in-engineering-and-computer-science
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modelling:
Assessing impacts and overcoming availability challenges. Energies (Basel), 13(16)
4244. doi: 10.3390/en13164244
Element 4: Appealing to your audience
Describe the aspirational goal of a professional in your field
create iconic buildings
Develop a preliminary thesis statement for your document? (What is it about and
why does that matter?)
Probability and statistics proficiencies are essential skills for those who aim to create the high
performing architecture possible for our generation.
Sheila Gobes-Ryan 1
Probability and Statistics are the Foundation
for Building Your Architectural Career
Introduction
As future architects, we all dream of creating iconic buildings that result in professional recognition
and financial success. Increases in ‘big data’ and the technologies to analyze these data sets more
effectively make it possible to improve the quality of our designs in significant ways during the
design process. However, to integrate these big-data benefits into our design solutions, we need to
become proficient in probability and statistics while in school.
To illustrate this to you, I will describe how probability and statistics are used in architectural
design and show that this skill will help start your career when you graduate. First, I will discuss the
uses of probability and statistics for improving the outcomes of several phases of architectural
projects. Then I will talk to you about the importance of having the skill to complete data analysis
when starting your career.
The Use of Probability and Statistics in Architecture
Design Phase Use of Probability and Statistics
Architects use probability and statistics during different phases of projects to improve and evaluate
the effectiveness of their built projects. In the following sections, I will present the use of
probability and statistics in four project phases:
1. Architects use probability and statistics during site selection to analyze relevant data.
2. In pre-design, they analyze client needs and evaluate their client’s industry space use trends.
3. During design, they assess the layout and material options against existing performance data.
4. In post-occupancy, they evaluate the performance of the space against project goals,
comparable properties, and performance standards and requirements.
By integrating data-driven decisions into the design process, architects can be confident that they
will achieve the high client satisfaction needed for financial success.
Probability and Statistics in Site Selection
An organization’s selection of location impacts many aspects of business success. The decision
may be which city to locate in, what city section to move to, or what specific property to occupy.
However, for each decision, organizations must consider a wide range of business impacts that
location choices can have and if these will be positive or negative for their business. With statistical
and probabilistic analysis, architects can present the business impacts of many factors based on
current data and predicting how many factors are likely to develop in the future. These factors
include access to employees with the necessary skills, proximity to clients or customers, local cost
of living and expected wages, and commute time and transportation access for employees.
Sheila Gobes-Ryan 2
Architects can use these analyses to combine client data, publicly available data, and mobile device
data to make data-driven site selection decisions (Intalytic, 2021). With this, architects provide
their clients with better business outcomes.
Probability and Statistics in Pre-Design
Architects collect and evaluate data statistically during the pre-design stage to determine building
space needs (Vangelatos, 2018) currently and into the future. Input from client interviews and
surveys, company growth projections, and industry benchmarks are all integrated into space needs
and acquisition decisions. Client organizations will rely on the dependability of this work as they
sign leases that extend for years or sometimes decades.
Probability and Statistics in the Design Phase
During the design phase, architects make decisions on materials and building systems so that
projects meet current regulations for things such as energy and water use (Yaglewad, 2020).
Additionally, we are often required to go beyond this to meet standards like the LEEDS
Sustainable Buildings Certification and Zero Net Energy (Carbonnier, 2020). Our ability to run
virtual simulations that statistically evaluate and present a wide range of design, material, and
construction options is critical to our success in this phase. These simulations integrate physics and
statistics to provide sophisticated examinations of building performance of various design choices.
Findings from these simulations allow architects to make changes to improve building performance
before anything is built (Goy, Maréchal, and Finn, 2020).
Post Occupancy Evaluations with Probability and Statistics
After clients move into buildings, sensors connected to the internet can measure and evaluate
actual building performance (Davis, 2015). Owners can assess building performance against
building code requirements and targeted certification programs, such as LEED (Davis, 2015).
With the decrease in the cost of monitoring systems, building owners and occupants are using
these systems to collect and evaluate data on building use and building systems performance in
increasingly complex ways. Vendors of building systems components are creating sophisticated
data visualizations to present this data in easy-to-understand formats.
Clients are using these analyses to move toward performance-based contracts with architects.
These contracts hold back part of the design fees until clients evaluate the buildings resulting from
an architect’s design against required performance standards (Davis, 2015). To get the
compensation they are due, architects’ pre-design systems of evaluation must match the post-
occupancy performance of the resulting buildings. As a result, architects now have a significant
financial stake in the accuracy of the probability and statistical analyses they complete.
Sheila Gobes-Ryan 3
Probability and Statistics Literacy will Enhance Your Employability
You may be thinking that this is a skill set you can skip and allow others to bring to architectural
firms. However, recent data from the National Architectural Education Association (NAEA)
(2020) suggests you should think again about this.
Surveys completed across 2,456 participating architectural practices show that 93% of these firms
of all sizes use statistical data in multiple phases of their design work. For this reason, 85% of these
firms identified data literacy as a skill they consider significant for new employees. This skill
ranked higher in importance than traditional skills such as CAD proficiency. In follow-up
interviews with 200 firm leaders, 87% identified recent graduates’ data literacy as inadequate for the
work demands of entry-level positions. This deficiency did not align with the finding that 70% of
architecture school faculty believed they were preparing their students for the data literacy
demands of the profession. Most challenging was that only 17% of architecture students identified
data literacy as a necessary professional skill (NAEA, 2020).
This data suggest that architecture programs are not preparing students for the data literacy
demands of their profession. Conversely, this preparation deficit provides a distinct advantage for
architecture students who become data literate and familiar with the uses of data analysis in their
professional lives.
Conclusion
This document discusses the many phases of architectural design work in which probability and
statistics play a role. They are first used to evaluate different options for siting a project. Then to
document building needs into the future. During the following phase of work, architects run many
design choices through simulations that evaluate and present various design choices in building
performance. Finally, owners use probability and statistics to collect data and analyze building
performance outcomes. Clients are frequently connecting these outcomes to completing payment
of architectural contracts. For this reason, as with many fields, using and evaluating data in a wide
range of probability and statistics applications is a skill that employers have indicated is critical.
When we prepare to graduate, we now know this is a skill we must have to start on a path of
financial and professional success
References
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. Retrieved
from https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-new-
normal-2020-04-03/
Chilton, J. J. & Baldry, D. (1997). The effects of integrated workplace strategies on commercial
office space. Facilities, 15(7/8), 187-194. doi: 10.1108/02632779710168227
Davis, D. (2015, April 23). How big data is transforming architecture.: The phenomenon presents
hug opportunities for the built environment and the firms that design it. Architect.
Sheila Gobes-Ryan 4
Retrieved from https://www.architectmagazine.com/technology/how-big-data-is-
transforming-architecture_o
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modelling:
Assessing impacts and overcoming availability challenges. Energies 13. doi:
10.3390/en13164244
Intalytics, (2021). Precise recommendations back by sound science. Kalibrate Company.
https://intalytics.com/real-estate-solutions/
Vangelatos, G. (2018, October 12). How architects help increase patient satisfaction in healthcare
through building design.
Yaglewad, S. (2020, May 19). How is statistics used in architecture? What After College. Retrieved
from https://whataftercollege.com/data-science/statistics-used-in-
architecture/#:~:text=How%20is%20Statistics%20used%20in%20Architecture%3F&text=W
hen%20an%20architectural%20project%20is,use%20for%20the%20end%2Dusers.
https://www.architectmagazine.com/technology/how-big-data-is-transforming-architecture_o
https://www.architectmagazine.com/technology/how-big-data-is-transforming-architecture_o
- You may be thinking that this is a skill set you can skip and allow others to bring to architectural firms. However, recent data from the National Architectural Education Association (NAEA) (2020) suggests you should think again about this.
- Surveys completed across 2,456 participating architectural practices show that 93% of these firms of all sizes use statistical data in multiple phases of their design work. For this reason, 85% of these firms identified data literacy as a skill they c…
- This data suggest that architecture programs are not preparing students for the data literacy demands of their profession. Conversely, this preparation deficit provides a distinct advantage for architecture students who become data literate and famili…
Your Title Here
Introduction
Text of your Introduction here.
The Use of Probability and Statistics in [Your Field/Department]
Text of this section
Subtitles if Used
Text of this section
Probability and Statistics Literacy will Enhance Your Employability
Text of this section
Conclusion
Text of your Introduction here.
References
1
image1
Name:
Element 1: Use of Statistics in [Your field]
Source 1:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 2:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 3:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 4:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Element 2: Probability and Statistics Literacy will Enhance Your Employability
Source 1
In-text citation
Reference Listing for this source
What data from each document you will use to support your argument? You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument
How you will use the numerical data to support your argument.
Source 2
In-text citation
Reference Listing for this source
What data from each document you will use to support your argument? You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument
How you will use the numerical data to support your argument.
Element 3: Reference List (remember to alphabetize the reference list by the first name or word in the reference item.)
Element 4: Engaging your Audience
Something Aspirational to start your document
Thesis Statement
For final
Your document purpose is to persuade first year students in your field of the importance of probability and statistics to your field (department or program).
The tone of this document is to be professional, but accessible. Important considerations for a well written document include:
· Flow at the document, paragraph and sentence level.
· Using topic sentences in each section.
· Using section headers and sub-headers, as identified below and shown in the example document.
You may refer to the
professional and general writing
resources page for tools to help with your writing. You may also work with the
Writing Studio Links to an external site.
at the USF Library; this requires planning, as it is best to have an appointment to be assured of having someone to work with.
You will include the following sections:
·
A Document Title. Document titles must briefly and precisely indicate the topic of the document. Ideally, it is also something that will catch the readers’ attention.
·
Introduction. The
introduction Links to an external site.
must accomplish the following:
· Introduces the audience to the topic and its importance. Given the audience you are writing to, first-person is appropriate, as it is your experience as a more advanced student that makes you credible.
Consider as you finalize your introduction, that the USF students you are writing to are diverse in many ways, including in age, life/professional experience, and cultural background. You must speak to all of them, not just to the ones that are like you.
· Includes a
thesis statement
Links to an external site.
that makes the primary claim you will argue in this handout and what you will say about it.
· States how you will use the document to support your argument.
· Present this in a concise, clear paragraph that makes the reader want to read your handout.
After you complete the body of your document, review your introduction to make sure it accurately states what you accomplished with the document. Revise the document as needed to make sure the introduction and the document body work together.
·
The Use of Statistics in [Your Field]. Using the information that you found in the preliminary phase of this assignment, develop this section. This section will start with an introductory paragraph giving students an overview of the different work aspects you will address. This is followed by 3 subsections (with sub-titles) describing the specific aspects of work for which statistics are used and then discussing specifically how probability or statistics enables the work to be accomplished. This section must have in-text citations to demonstrate you have researched the topic using credible sources.
·
Probability and Statistics Literacy will Enhance Your Employability. Develop a written argument using the data provided to indicate how proficiency in probability and statistics will help to develop competency/competencies employers find look for when hiring recent college graduates. Select only the competency or competencies that are core learning outcomes to this course, (you may not use all of the competencies the webpages identify). Additionally you must incorporate numerical data from both web pages into the argument.
·
Conclusion. The conclusion is a summary of your ENTIRE document. It summarizes what you have done to support you thesis, and includes a reworded restatement of your thesis. It ends with a reminder to the readers of the importance of all of this for their professional future.
·
Reference List. The document will end with an
APA formatted reference list Links to an external site.
Links to an external site.
with a minimum of four (4) references. Each source on the reference list must have at least one
APA formatted in-text citation Links to an external site.
in your document. Citations are required any place in your document where you have used the ideas, data, or images of others.
Word Count: 1000 – 1400 words (not including the reference list.) This is a guide and is most important at the lower end; if your document is shorter than 1000 words, it is likely that it is lacking the detail needed.
For preliminary
Element 1: The Use of Statistics In [Your Field] * –
You may work with other students in your major on selecting uses, finding sources, and completing APA in-text citations and your reference list for this part of the assignment. However, writing your document MUST be completed individually.
Review the
Probability and Statistics in Engineering and Computer Science
Download Probability and Statistics in Engineering and Computer Science
article and resources to develop an understanding of the ways in which your field/major*** uses probability and statistics in the work done. Select 3 applications or tasks that are relevant to your field to research in more detail. To write this well you will need at least one source that helps you identify tasks that are accomplished using probability and statistics in your field, sources to help you describe the tasks, and sources to help you describe how probability and/or statistics are used to enable accomplishing the task. These sources should provide you with information that will allow you to develop 3 clearly presented examples of how probability and statistics are used in your field.
· You must use** a minimum of 4 cited sources for this section. However, you must also have sources to support what you say, which may require you to use additional sources.
*The Use of brackets indicates that you will replace the brackets and the words inside with ones that are appropriate to you and your work.
**Using a source means that you are synthesizing the ideas from the work of another into the original ideas you are putting forward in your work. You will have at least one in-text citation and reference list item using APA formatting for each source. Adding sources to the reference list without an in-text citation will result in no credit for that source.
***This section of the assignment has one required source. A minimum of three sources are required for this section which may come from the resources list or other CREDIBLE sources. Wikipedia may not be used as a source BUT its reference lists may be checked for credible sources.
****USF College of Engineering Majors are departments or major topic areas in departments, they include: Biomedical engineering, chemical engineering, civil engineering, structural engineering, environmental engineering, transportation engineering, computer science, computer engineering, cybersecurity, electrical engineering, industrial engineering, and mechanical engineering
Work to Submit. Complete all of the required information for each source you will use.
Element 2: Probability and Statistics Literacy will Enhance Your Employability.
For this section of your document you will read, interpret, and use descriptive statistics to make an argument that proficiency with probability and statistics will help students get a job when they graduate using the sources provided, these are:
The Four Career Competencies Employers Value Most
Links to an external site.
by NACE Staff
Are College Graduates “Career Ready”?
Links to an external site.
by NACE Staff
You must incorporate data from both sources, meaning you will have at least two points to make with the data as part of this section.
Work to Submit: For this part of the assignment, you will complete the following for each source you use, including the four provided.
· An APA formatted reference list item
· An in-text citation formatted in APA format
· For each source, a brief explanation of
1. What data from each document you will use to support your argument. You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument. For the source you use for the definition of the competencies list the competency or competencies you believe you will enhance in the probability and statistics course. You may not select all as being relevant to this course, you must think about, and make a choice about which competencies are core learning outcomes of this course and make an argument to support that.
2. How you will use the numerical data to support your argument. For the source you use for the definition of the competencies you will describe the way you will incorporate an understanding of the competency into your final document.
Element 3: Reference List (You may work with your assigned groups to complete the reference list.)
Work to Submit: Using the reference list items from above and any extra sources you plan to use, create an APA formatted reference list. You will have a minimum of 4 sources. It is important that your reference listings have the correct information, in the correct order, and that the items and list are formatted correctly. For the reference section, make sure the listings are alphabetized so they can be easily found. Use the APA formatting resources in your reading to help you with this. BEWARE: citation generators are often wrong; you can start with them BUT must revise any that are incorrect.
Element 4: Engaging Your Audience
For this section you will
1. Think about and describe a significant, shared aspirational goal or goals of young professionals entering the field. This goal will be something you can use to engage your readers as you start the document. In the example you will see for architecture students this is to design iconic buildings.
2. Develop a
thesis statement
Name: Herta Ayrton
Element 1: Use of Statistics in architecture
Source 1:
In-text citation
(Carbonnier, 2020)
Reference Listing for this source
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. HCM
Architects. https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
new-normal-2020-04-03/
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article defines zero net energy buildings and design strategies. It explains how
statistics are collected from IoT data sources and used in GIS to inform building form and
location decisions to maximize energy performance by evaluating sun, wind, and light. I will be
using Zero Net Energy buildings as an example of the use of statistics in the design phase of an
architectural design process.
Source 2:
In-text citation
(Gobes-Ryan, 2022)
Reference Listing for this source
Gobes-Ryan, S. (2022). The importance of probability and statistics in engineering and computer
science. https://usflearn.instructure.com/courses/1664254/pages/the-importance-of-
probability-and-statistics-in-engineering-and-computer-science
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article provides insight into how probability and statistics are used across many of the
disciplines in our college.
https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
Source 3:
In-text citation
(Goy, Maréchal, & Finn, 2020)
Reference Listing for this source
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modeling:
Assessing impacts and overcoming availability challenges. Energies (Basel), 13(16)
4244. doi: 10.3390/en13164244
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article addresses the use of data in building energy modeling and where there are gaps
in the data. This is the most essential source I have for understanding how data is used in
building energy modeling.
Element 2: Probability and Statistics Literacy will Enhance Your
Employability examples are not provided for this section; the questions are
straightforward
What statistical parameters are you able to determine in the data provided?
Given the type of data you are provided, and the question being asked is the mean or median the
most appropriate measure of location to use? Why?
Is a measure of spread important to the question being ask? Why or why not?
Is the data provided
Discrete OR Continuous
Numerical OR Categorical
Of the data provided, which important skill(s) will you hone within the math part of your
statistics course? How is this connected to having probability and statistics proficiency?
What two categories of data are provided in the data set?
How can each of these be used to support the case you will make in the IDL 1 Final?
Develop a table that is clear, easy to read and is organized to highlight the most important data to
your argument.
Element 3: Reference list
Hints: Reference lists in APA format are organized alphabetically by the first letter of the
reference item. This is done to make it easy for readers to find as the in-text citation starts with
the same words/names
Reference List
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. HCM
Architects. https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
new-normal-2020-04-03/
Gobes-Ryan, S. (2022). The importance of probability and statistics in engineering and computer
science. https://usflearn.instructure.com/courses/1664254/pages/the-importance-of-
probability-and-statistics-in-engineering-and-computer-science
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modelling:
Assessing impacts and overcoming availability challenges. Energies (Basel), 13(16)
4244. doi: 10.3390/en13164244
Element 4: Appealing to your audience
Describe the aspirational goal of a professional in your field
create iconic buildings
Develop a preliminary thesis statement for your document? (What is it about and
why does that matter?)
Probability and statistics proficiencies are essential skills for those who aim to create the high
performing architecture possible for our generation.
Sheila Gobes-Ryan 1
Probability and Statistics are the Foundation
for Building Your Architectural Career
Introduction
As future architects, we all dream of creating iconic buildings that result in professional recognition
and financial success. Increases in ‘big data’ and the technologies to analyze these data sets more
effectively make it possible to improve the quality of our designs in significant ways during the
design process. However, to integrate these big-data benefits into our design solutions, we need to
become proficient in probability and statistics while in school.
To illustrate this to you, I will describe how probability and statistics are used in architectural
design and show that this skill will help start your career when you graduate. First, I will discuss the
uses of probability and statistics for improving the outcomes of several phases of architectural
projects. Then I will talk to you about the importance of having the skill to complete data analysis
when starting your career.
The Use of Probability and Statistics in Architecture
Design Phase Use of Probability and Statistics
Architects use probability and statistics during different phases of projects to improve and evaluate
the effectiveness of their built projects. In the following sections, I will present the use of
probability and statistics in four project phases:
1. Architects use probability and statistics during site selection to analyze relevant data.
2. In pre-design, they analyze client needs and evaluate their client’s industry space use trends.
3. During design, they assess the layout and material options against existing performance data.
4. In post-occupancy, they evaluate the performance of the space against project goals,
comparable properties, and performance standards and requirements.
By integrating data-driven decisions into the design process, architects can be confident that they
will achieve the high client satisfaction needed for financial success.
Probability and Statistics in Site Selection
An organization’s selection of location impacts many aspects of business success. The decision
may be which city to locate in, what city section to move to, or what specific property to occupy.
However, for each decision, organizations must consider a wide range of business impacts that
location choices can have and if these will be positive or negative for their business. With statistical
and probabilistic analysis, architects can present the business impacts of many factors based on
current data and predicting how many factors are likely to develop in the future. These factors
include access to employees with the necessary skills, proximity to clients or customers, local cost
of living and expected wages, and commute time and transportation access for employees.
Sheila Gobes-Ryan 2
Architects can use these analyses to combine client data, publicly available data, and mobile device
data to make data-driven site selection decisions (Intalytic, 2021). With this, architects provide
their clients with better business outcomes.
Probability and Statistics in Pre-Design
Architects collect and evaluate data statistically during the pre-design stage to determine building
space needs (Vangelatos, 2018) currently and into the future. Input from client interviews and
surveys, company growth projections, and industry benchmarks are all integrated into space needs
and acquisition decisions. Client organizations will rely on the dependability of this work as they
sign leases that extend for years or sometimes decades.
Probability and Statistics in the Design Phase
During the design phase, architects make decisions on materials and building systems so that
projects meet current regulations for things such as energy and water use (Yaglewad, 2020).
Additionally, we are often required to go beyond this to meet standards like the LEEDS
Sustainable Buildings Certification and Zero Net Energy (Carbonnier, 2020). Our ability to run
virtual simulations that statistically evaluate and present a wide range of design, material, and
construction options is critical to our success in this phase. These simulations integrate physics and
statistics to provide sophisticated examinations of building performance of various design choices.
Findings from these simulations allow architects to make changes to improve building performance
before anything is built (Goy, Maréchal, and Finn, 2020).
Post Occupancy Evaluations with Probability and Statistics
After clients move into buildings, sensors connected to the internet can measure and evaluate
actual building performance (Davis, 2015). Owners can assess building performance against
building code requirements and targeted certification programs, such as LEED (Davis, 2015).
With the decrease in the cost of monitoring systems, building owners and occupants are using
these systems to collect and evaluate data on building use and building systems performance in
increasingly complex ways. Vendors of building systems components are creating sophisticated
data visualizations to present this data in easy-to-understand formats.
Clients are using these analyses to move toward performance-based contracts with architects.
These contracts hold back part of the design fees until clients evaluate the buildings resulting from
an architect’s design against required performance standards (Davis, 2015). To get the
compensation they are due, architects’ pre-design systems of evaluation must match the post-
occupancy performance of the resulting buildings. As a result, architects now have a significant
financial stake in the accuracy of the probability and statistical analyses they complete.
Sheila Gobes-Ryan 3
Probability and Statistics Literacy will Enhance Your Employability
You may be thinking that this is a skill set you can skip and allow others to bring to architectural
firms. However, recent data from the National Architectural Education Association (NAEA)
(2020) suggests you should think again about this.
Surveys completed across 2,456 participating architectural practices show that 93% of these firms
of all sizes use statistical data in multiple phases of their design work. For this reason, 85% of these
firms identified data literacy as a skill they consider significant for new employees. This skill
ranked higher in importance than traditional skills such as CAD proficiency. In follow-up
interviews with 200 firm leaders, 87% identified recent graduates’ data literacy as inadequate for the
work demands of entry-level positions. This deficiency did not align with the finding that 70% of
architecture school faculty believed they were preparing their students for the data literacy
demands of the profession. Most challenging was that only 17% of architecture students identified
data literacy as a necessary professional skill (NAEA, 2020).
This data suggest that architecture programs are not preparing students for the data literacy
demands of their profession. Conversely, this preparation deficit provides a distinct advantage for
architecture students who become data literate and familiar with the uses of data analysis in their
professional lives.
Conclusion
This document discusses the many phases of architectural design work in which probability and
statistics play a role. They are first used to evaluate different options for siting a project. Then to
document building needs into the future. During the following phase of work, architects run many
design choices through simulations that evaluate and present various design choices in building
performance. Finally, owners use probability and statistics to collect data and analyze building
performance outcomes. Clients are frequently connecting these outcomes to completing payment
of architectural contracts. For this reason, as with many fields, using and evaluating data in a wide
range of probability and statistics applications is a skill that employers have indicated is critical.
When we prepare to graduate, we now know this is a skill we must have to start on a path of
financial and professional success
References
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. Retrieved
from https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-new-
normal-2020-04-03/
Chilton, J. J. & Baldry, D. (1997). The effects of integrated workplace strategies on commercial
office space. Facilities, 15(7/8), 187-194. doi: 10.1108/02632779710168227
Davis, D. (2015, April 23). How big data is transforming architecture.: The phenomenon presents
hug opportunities for the built environment and the firms that design it. Architect.
Sheila Gobes-Ryan 4
Retrieved from https://www.architectmagazine.com/technology/how-big-data-is-
transforming-architecture_o
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modelling:
Assessing impacts and overcoming availability challenges. Energies 13. doi:
10.3390/en13164244
Intalytics, (2021). Precise recommendations back by sound science. Kalibrate Company.
https://intalytics.com/real-estate-solutions/
Vangelatos, G. (2018, October 12). How architects help increase patient satisfaction in healthcare
through building design.
Yaglewad, S. (2020, May 19). How is statistics used in architecture? What After College. Retrieved
from https://whataftercollege.com/data-science/statistics-used-in-
architecture/#:~:text=How%20is%20Statistics%20used%20in%20Architecture%3F&text=W
hen%20an%20architectural%20project%20is,use%20for%20the%20end%2Dusers.
https://www.architectmagazine.com/technology/how-big-data-is-transforming-architecture_o
https://www.architectmagazine.com/technology/how-big-data-is-transforming-architecture_o
- You may be thinking that this is a skill set you can skip and allow others to bring to architectural firms. However, recent data from the National Architectural Education Association (NAEA) (2020) suggests you should think again about this.
- Surveys completed across 2,456 participating architectural practices show that 93% of these firms of all sizes use statistical data in multiple phases of their design work. For this reason, 85% of these firms identified data literacy as a skill they c…
- This data suggest that architecture programs are not preparing students for the data literacy demands of their profession. Conversely, this preparation deficit provides a distinct advantage for architecture students who become data literate and famili…
Your Title Here
Introduction
Text of your Introduction here.
The Use of Probability and Statistics in [Your Field/Department]
Text of this section
Subtitles if Used
Text of this section
Probability and Statistics Literacy will Enhance Your Employability
Text of this section
Conclusion
Text of your Introduction here.
References
1
image1
Name:
Element 1: Use of Statistics in [Your field]
Source 1:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 2:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 3:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 4:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Element 2: Probability and Statistics Literacy will Enhance Your Employability
Source 1
In-text citation
Reference Listing for this source
What data from each document you will use to support your argument? You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument
How you will use the numerical data to support your argument.
Source 2
In-text citation
Reference Listing for this source
What data from each document you will use to support your argument? You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument
How you will use the numerical data to support your argument.
Element 3: Reference List (remember to alphabetize the reference list by the first name or word in the reference item.)
Element 4: Engaging your Audience
Something Aspirational to start your document
Thesis Statement
For final
Your document purpose is to persuade first year students in your field of the importance of probability and statistics to your field (department or program).
The tone of this document is to be professional, but accessible. Important considerations for a well written document include:
· Flow at the document, paragraph and sentence level.
· Using topic sentences in each section.
· Using section headers and sub-headers, as identified below and shown in the example document.
You may refer to the
professional and general writing
resources page for tools to help with your writing. You may also work with the
Writing Studio Links to an external site.
at the USF Library; this requires planning, as it is best to have an appointment to be assured of having someone to work with.
You will include the following sections:
·
A Document Title. Document titles must briefly and precisely indicate the topic of the document. Ideally, it is also something that will catch the readers’ attention.
·
Introduction. The
introduction Links to an external site.
must accomplish the following:
· Introduces the audience to the topic and its importance. Given the audience you are writing to, first-person is appropriate, as it is your experience as a more advanced student that makes you credible.
Consider as you finalize your introduction, that the USF students you are writing to are diverse in many ways, including in age, life/professional experience, and cultural background. You must speak to all of them, not just to the ones that are like you.
· Includes a
thesis statement
Links to an external site.
that makes the primary claim you will argue in this handout and what you will say about it.
· States how you will use the document to support your argument.
· Present this in a concise, clear paragraph that makes the reader want to read your handout.
After you complete the body of your document, review your introduction to make sure it accurately states what you accomplished with the document. Revise the document as needed to make sure the introduction and the document body work together.
·
The Use of Statistics in [Your Field]. Using the information that you found in the preliminary phase of this assignment, develop this section. This section will start with an introductory paragraph giving students an overview of the different work aspects you will address. This is followed by 3 subsections (with sub-titles) describing the specific aspects of work for which statistics are used and then discussing specifically how probability or statistics enables the work to be accomplished. This section must have in-text citations to demonstrate you have researched the topic using credible sources.
·
Probability and Statistics Literacy will Enhance Your Employability. Develop a written argument using the data provided to indicate how proficiency in probability and statistics will help to develop competency/competencies employers find look for when hiring recent college graduates. Select only the competency or competencies that are core learning outcomes to this course, (you may not use all of the competencies the webpages identify). Additionally you must incorporate numerical data from both web pages into the argument.
·
Conclusion. The conclusion is a summary of your ENTIRE document. It summarizes what you have done to support you thesis, and includes a reworded restatement of your thesis. It ends with a reminder to the readers of the importance of all of this for their professional future.
·
Reference List. The document will end with an
APA formatted reference list Links to an external site.
Links to an external site.
with a minimum of four (4) references. Each source on the reference list must have at least one
APA formatted in-text citation Links to an external site.
in your document. Citations are required any place in your document where you have used the ideas, data, or images of others.
Word Count: 1000 – 1400 words (not including the reference list.) This is a guide and is most important at the lower end; if your document is shorter than 1000 words, it is likely that it is lacking the detail needed.
For preliminary
Element 1: The Use of Statistics In [Your Field] * –
You may work with other students in your major on selecting uses, finding sources, and completing APA in-text citations and your reference list for this part of the assignment. However, writing your document MUST be completed individually.
Review the
Probability and Statistics in Engineering and Computer Science
Download Probability and Statistics in Engineering and Computer Science
article and resources to develop an understanding of the ways in which your field/major*** uses probability and statistics in the work done. Select 3 applications or tasks that are relevant to your field to research in more detail. To write this well you will need at least one source that helps you identify tasks that are accomplished using probability and statistics in your field, sources to help you describe the tasks, and sources to help you describe how probability and/or statistics are used to enable accomplishing the task. These sources should provide you with information that will allow you to develop 3 clearly presented examples of how probability and statistics are used in your field.
· You must use** a minimum of 4 cited sources for this section. However, you must also have sources to support what you say, which may require you to use additional sources.
*The Use of brackets indicates that you will replace the brackets and the words inside with ones that are appropriate to you and your work.
**Using a source means that you are synthesizing the ideas from the work of another into the original ideas you are putting forward in your work. You will have at least one in-text citation and reference list item using APA formatting for each source. Adding sources to the reference list without an in-text citation will result in no credit for that source.
***This section of the assignment has one required source. A minimum of three sources are required for this section which may come from the resources list or other CREDIBLE sources. Wikipedia may not be used as a source BUT its reference lists may be checked for credible sources.
****USF College of Engineering Majors are departments or major topic areas in departments, they include: Biomedical engineering, chemical engineering, civil engineering, structural engineering, environmental engineering, transportation engineering, computer science, computer engineering, cybersecurity, electrical engineering, industrial engineering, and mechanical engineering
Work to Submit. Complete all of the required information for each source you will use.
Element 2: Probability and Statistics Literacy will Enhance Your Employability.
For this section of your document you will read, interpret, and use descriptive statistics to make an argument that proficiency with probability and statistics will help students get a job when they graduate using the sources provided, these are:
The Four Career Competencies Employers Value Most
Links to an external site.
by NACE Staff
Are College Graduates “Career Ready”?
Links to an external site.
by NACE Staff
You must incorporate data from both sources, meaning you will have at least two points to make with the data as part of this section.
Work to Submit: For this part of the assignment, you will complete the following for each source you use, including the four provided.
· An APA formatted reference list item
· An in-text citation formatted in APA format
· For each source, a brief explanation of
1. What data from each document you will use to support your argument. You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument. For the source you use for the definition of the competencies list the competency or competencies you believe you will enhance in the probability and statistics course. You may not select all as being relevant to this course, you must think about, and make a choice about which competencies are core learning outcomes of this course and make an argument to support that.
2. How you will use the numerical data to support your argument. For the source you use for the definition of the competencies you will describe the way you will incorporate an understanding of the competency into your final document.
Element 3: Reference List (You may work with your assigned groups to complete the reference list.)
Work to Submit: Using the reference list items from above and any extra sources you plan to use, create an APA formatted reference list. You will have a minimum of 4 sources. It is important that your reference listings have the correct information, in the correct order, and that the items and list are formatted correctly. For the reference section, make sure the listings are alphabetized so they can be easily found. Use the APA formatting resources in your reading to help you with this. BEWARE: citation generators are often wrong; you can start with them BUT must revise any that are incorrect.
Element 4: Engaging Your Audience
For this section you will
1. Think about and describe a significant, shared aspirational goal or goals of young professionals entering the field. This goal will be something you can use to engage your readers as you start the document. In the example you will see for architecture students this is to design iconic buildings.
2. Develop a
thesis statement
Name: Herta Ayrton
Element 1: Use of Statistics in architecture
Source 1:
In-text citation
(Carbonnier, 2020)
Reference Listing for this source
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. HCM
Architects. https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
new-normal-2020-04-03/
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article defines zero net energy buildings and design strategies. It explains how
statistics are collected from IoT data sources and used in GIS to inform building form and
location decisions to maximize energy performance by evaluating sun, wind, and light. I will be
using Zero Net Energy buildings as an example of the use of statistics in the design phase of an
architectural design process.
Source 2:
In-text citation
(Gobes-Ryan, 2022)
Reference Listing for this source
Gobes-Ryan, S. (2022). The importance of probability and statistics in engineering and computer
science. https://usflearn.instructure.com/courses/1664254/pages/the-importance-of-
probability-and-statistics-in-engineering-and-computer-science
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article provides insight into how probability and statistics are used across many of the
disciplines in our college.
https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
Source 3:
In-text citation
(Goy, Maréchal, & Finn, 2020)
Reference Listing for this source
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modeling:
Assessing impacts and overcoming availability challenges. Energies (Basel), 13(16)
4244. doi: 10.3390/en13164244
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article addresses the use of data in building energy modeling and where there are gaps
in the data. This is the most essential source I have for understanding how data is used in
building energy modeling.
Element 2: Probability and Statistics Literacy will Enhance Your
Employability examples are not provided for this section; the questions are
straightforward
What statistical parameters are you able to determine in the data provided?
Given the type of data you are provided, and the question being asked is the mean or median the
most appropriate measure of location to use? Why?
Is a measure of spread important to the question being ask? Why or why not?
Is the data provided
Discrete OR Continuous
Numerical OR Categorical
Of the data provided, which important skill(s) will you hone within the math part of your
statistics course? How is this connected to having probability and statistics proficiency?
What two categories of data are provided in the data set?
How can each of these be used to support the case you will make in the IDL 1 Final?
Develop a table that is clear, easy to read and is organized to highlight the most important data to
your argument.
Element 3: Reference list
Hints: Reference lists in APA format are organized alphabetically by the first letter of the
reference item. This is done to make it easy for readers to find as the in-text citation starts with
the same words/names
Reference List
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. HCM
Architects. https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
new-normal-2020-04-03/
Gobes-Ryan, S. (2022). The importance of probability and statistics in engineering and computer
science. https://usflearn.instructure.com/courses/1664254/pages/the-importance-of-
probability-and-statistics-in-engineering-and-computer-science
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modelling:
Assessing impacts and overcoming availability challenges. Energies (Basel), 13(16)
4244. doi: 10.3390/en13164244
Element 4: Appealing to your audience
Describe the aspirational goal of a professional in your field
create iconic buildings
Develop a preliminary thesis statement for your document? (What is it about and
why does that matter?)
Probability and statistics proficiencies are essential skills for those who aim to create the high
performing architecture possible for our generation.
Sheila Gobes-Ryan 1
Probability and Statistics are the Foundation
for Building Your Architectural Career
Introduction
As future architects, we all dream of creating iconic buildings that result in professional recognition
and financial success. Increases in ‘big data’ and the technologies to analyze these data sets more
effectively make it possible to improve the quality of our designs in significant ways during the
design process. However, to integrate these big-data benefits into our design solutions, we need to
become proficient in probability and statistics while in school.
To illustrate this to you, I will describe how probability and statistics are used in architectural
design and show that this skill will help start your career when you graduate. First, I will discuss the
uses of probability and statistics for improving the outcomes of several phases of architectural
projects. Then I will talk to you about the importance of having the skill to complete data analysis
when starting your career.
The Use of Probability and Statistics in Architecture
Design Phase Use of Probability and Statistics
Architects use probability and statistics during different phases of projects to improve and evaluate
the effectiveness of their built projects. In the following sections, I will present the use of
probability and statistics in four project phases:
1. Architects use probability and statistics during site selection to analyze relevant data.
2. In pre-design, they analyze client needs and evaluate their client’s industry space use trends.
3. During design, they assess the layout and material options against existing performance data.
4. In post-occupancy, they evaluate the performance of the space against project goals,
comparable properties, and performance standards and requirements.
By integrating data-driven decisions into the design process, architects can be confident that they
will achieve the high client satisfaction needed for financial success.
Probability and Statistics in Site Selection
An organization’s selection of location impacts many aspects of business success. The decision
may be which city to locate in, what city section to move to, or what specific property to occupy.
However, for each decision, organizations must consider a wide range of business impacts that
location choices can have and if these will be positive or negative for their business. With statistical
and probabilistic analysis, architects can present the business impacts of many factors based on
current data and predicting how many factors are likely to develop in the future. These factors
include access to employees with the necessary skills, proximity to clients or customers, local cost
of living and expected wages, and commute time and transportation access for employees.
Sheila Gobes-Ryan 2
Architects can use these analyses to combine client data, publicly available data, and mobile device
data to make data-driven site selection decisions (Intalytic, 2021). With this, architects provide
their clients with better business outcomes.
Probability and Statistics in Pre-Design
Architects collect and evaluate data statistically during the pre-design stage to determine building
space needs (Vangelatos, 2018) currently and into the future. Input from client interviews and
surveys, company growth projections, and industry benchmarks are all integrated into space needs
and acquisition decisions. Client organizations will rely on the dependability of this work as they
sign leases that extend for years or sometimes decades.
Probability and Statistics in the Design Phase
During the design phase, architects make decisions on materials and building systems so that
projects meet current regulations for things such as energy and water use (Yaglewad, 2020).
Additionally, we are often required to go beyond this to meet standards like the LEEDS
Sustainable Buildings Certification and Zero Net Energy (Carbonnier, 2020). Our ability to run
virtual simulations that statistically evaluate and present a wide range of design, material, and
construction options is critical to our success in this phase. These simulations integrate physics and
statistics to provide sophisticated examinations of building performance of various design choices.
Findings from these simulations allow architects to make changes to improve building performance
before anything is built (Goy, Maréchal, and Finn, 2020).
Post Occupancy Evaluations with Probability and Statistics
After clients move into buildings, sensors connected to the internet can measure and evaluate
actual building performance (Davis, 2015). Owners can assess building performance against
building code requirements and targeted certification programs, such as LEED (Davis, 2015).
With the decrease in the cost of monitoring systems, building owners and occupants are using
these systems to collect and evaluate data on building use and building systems performance in
increasingly complex ways. Vendors of building systems components are creating sophisticated
data visualizations to present this data in easy-to-understand formats.
Clients are using these analyses to move toward performance-based contracts with architects.
These contracts hold back part of the design fees until clients evaluate the buildings resulting from
an architect’s design against required performance standards (Davis, 2015). To get the
compensation they are due, architects’ pre-design systems of evaluation must match the post-
occupancy performance of the resulting buildings. As a result, architects now have a significant
financial stake in the accuracy of the probability and statistical analyses they complete.
Sheila Gobes-Ryan 3
Probability and Statistics Literacy will Enhance Your Employability
You may be thinking that this is a skill set you can skip and allow others to bring to architectural
firms. However, recent data from the National Architectural Education Association (NAEA)
(2020) suggests you should think again about this.
Surveys completed across 2,456 participating architectural practices show that 93% of these firms
of all sizes use statistical data in multiple phases of their design work. For this reason, 85% of these
firms identified data literacy as a skill they consider significant for new employees. This skill
ranked higher in importance than traditional skills such as CAD proficiency. In follow-up
interviews with 200 firm leaders, 87% identified recent graduates’ data literacy as inadequate for the
work demands of entry-level positions. This deficiency did not align with the finding that 70% of
architecture school faculty believed they were preparing their students for the data literacy
demands of the profession. Most challenging was that only 17% of architecture students identified
data literacy as a necessary professional skill (NAEA, 2020).
This data suggest that architecture programs are not preparing students for the data literacy
demands of their profession. Conversely, this preparation deficit provides a distinct advantage for
architecture students who become data literate and familiar with the uses of data analysis in their
professional lives.
Conclusion
This document discusses the many phases of architectural design work in which probability and
statistics play a role. They are first used to evaluate different options for siting a project. Then to
document building needs into the future. During the following phase of work, architects run many
design choices through simulations that evaluate and present various design choices in building
performance. Finally, owners use probability and statistics to collect data and analyze building
performance outcomes. Clients are frequently connecting these outcomes to completing payment
of architectural contracts. For this reason, as with many fields, using and evaluating data in a wide
range of probability and statistics applications is a skill that employers have indicated is critical.
When we prepare to graduate, we now know this is a skill we must have to start on a path of
financial and professional success
References
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. Retrieved
from https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-new-
normal-2020-04-03/
Chilton, J. J. & Baldry, D. (1997). The effects of integrated workplace strategies on commercial
office space. Facilities, 15(7/8), 187-194. doi: 10.1108/02632779710168227
Davis, D. (2015, April 23). How big data is transforming architecture.: The phenomenon presents
hug opportunities for the built environment and the firms that design it. Architect.
Sheila Gobes-Ryan 4
Retrieved from https://www.architectmagazine.com/technology/how-big-data-is-
transforming-architecture_o
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modelling:
Assessing impacts and overcoming availability challenges. Energies 13. doi:
10.3390/en13164244
Intalytics, (2021). Precise recommendations back by sound science. Kalibrate Company.
https://intalytics.com/real-estate-solutions/
Vangelatos, G. (2018, October 12). How architects help increase patient satisfaction in healthcare
through building design.
Yaglewad, S. (2020, May 19). How is statistics used in architecture? What After College. Retrieved
from https://whataftercollege.com/data-science/statistics-used-in-
architecture/#:~:text=How%20is%20Statistics%20used%20in%20Architecture%3F&text=W
hen%20an%20architectural%20project%20is,use%20for%20the%20end%2Dusers.
https://www.architectmagazine.com/technology/how-big-data-is-transforming-architecture_o
https://www.architectmagazine.com/technology/how-big-data-is-transforming-architecture_o
- You may be thinking that this is a skill set you can skip and allow others to bring to architectural firms. However, recent data from the National Architectural Education Association (NAEA) (2020) suggests you should think again about this.
- Surveys completed across 2,456 participating architectural practices show that 93% of these firms of all sizes use statistical data in multiple phases of their design work. For this reason, 85% of these firms identified data literacy as a skill they c…
- This data suggest that architecture programs are not preparing students for the data literacy demands of their profession. Conversely, this preparation deficit provides a distinct advantage for architecture students who become data literate and famili…
Your Title Here
Introduction
Text of your Introduction here.
The Use of Probability and Statistics in [Your Field/Department]
Text of this section
Subtitles if Used
Text of this section
Probability and Statistics Literacy will Enhance Your Employability
Text of this section
Conclusion
Text of your Introduction here.
References
1
image1
Name:
Element 1: Use of Statistics in [Your field]
Source 1:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 2:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 3:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 4:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Element 2: Probability and Statistics Literacy will Enhance Your Employability
Source 1
In-text citation
Reference Listing for this source
What data from each document you will use to support your argument? You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument
How you will use the numerical data to support your argument.
Source 2
In-text citation
Reference Listing for this source
What data from each document you will use to support your argument? You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument
How you will use the numerical data to support your argument.
Element 3: Reference List (remember to alphabetize the reference list by the first name or word in the reference item.)
Element 4: Engaging your Audience
Something Aspirational to start your document
Thesis Statement
For final
Your document purpose is to persuade first year students in your field of the importance of probability and statistics to your field (department or program).
The tone of this document is to be professional, but accessible. Important considerations for a well written document include:
· Flow at the document, paragraph and sentence level.
· Using topic sentences in each section.
· Using section headers and sub-headers, as identified below and shown in the example document.
You may refer to the
professional and general writing
resources page for tools to help with your writing. You may also work with the
Writing Studio Links to an external site.
at the USF Library; this requires planning, as it is best to have an appointment to be assured of having someone to work with.
You will include the following sections:
·
A Document Title. Document titles must briefly and precisely indicate the topic of the document. Ideally, it is also something that will catch the readers’ attention.
·
Introduction. The
introduction Links to an external site.
must accomplish the following:
· Introduces the audience to the topic and its importance. Given the audience you are writing to, first-person is appropriate, as it is your experience as a more advanced student that makes you credible.
Consider as you finalize your introduction, that the USF students you are writing to are diverse in many ways, including in age, life/professional experience, and cultural background. You must speak to all of them, not just to the ones that are like you.
· Includes a
thesis statement
Links to an external site.
that makes the primary claim you will argue in this handout and what you will say about it.
· States how you will use the document to support your argument.
· Present this in a concise, clear paragraph that makes the reader want to read your handout.
After you complete the body of your document, review your introduction to make sure it accurately states what you accomplished with the document. Revise the document as needed to make sure the introduction and the document body work together.
·
The Use of Statistics in [Your Field]. Using the information that you found in the preliminary phase of this assignment, develop this section. This section will start with an introductory paragraph giving students an overview of the different work aspects you will address. This is followed by 3 subsections (with sub-titles) describing the specific aspects of work for which statistics are used and then discussing specifically how probability or statistics enables the work to be accomplished. This section must have in-text citations to demonstrate you have researched the topic using credible sources.
·
Probability and Statistics Literacy will Enhance Your Employability. Develop a written argument using the data provided to indicate how proficiency in probability and statistics will help to develop competency/competencies employers find look for when hiring recent college graduates. Select only the competency or competencies that are core learning outcomes to this course, (you may not use all of the competencies the webpages identify). Additionally you must incorporate numerical data from both web pages into the argument.
·
Conclusion. The conclusion is a summary of your ENTIRE document. It summarizes what you have done to support you thesis, and includes a reworded restatement of your thesis. It ends with a reminder to the readers of the importance of all of this for their professional future.
·
Reference List. The document will end with an
APA formatted reference list Links to an external site.
Links to an external site.
with a minimum of four (4) references. Each source on the reference list must have at least one
APA formatted in-text citation Links to an external site.
in your document. Citations are required any place in your document where you have used the ideas, data, or images of others.
Word Count: 1000 – 1400 words (not including the reference list.) This is a guide and is most important at the lower end; if your document is shorter than 1000 words, it is likely that it is lacking the detail needed.
For preliminary
Element 1: The Use of Statistics In [Your Field] * –
You may work with other students in your major on selecting uses, finding sources, and completing APA in-text citations and your reference list for this part of the assignment. However, writing your document MUST be completed individually.
Review the
Probability and Statistics in Engineering and Computer Science
Download Probability and Statistics in Engineering and Computer Science
article and resources to develop an understanding of the ways in which your field/major*** uses probability and statistics in the work done. Select 3 applications or tasks that are relevant to your field to research in more detail. To write this well you will need at least one source that helps you identify tasks that are accomplished using probability and statistics in your field, sources to help you describe the tasks, and sources to help you describe how probability and/or statistics are used to enable accomplishing the task. These sources should provide you with information that will allow you to develop 3 clearly presented examples of how probability and statistics are used in your field.
· You must use** a minimum of 4 cited sources for this section. However, you must also have sources to support what you say, which may require you to use additional sources.
*The Use of brackets indicates that you will replace the brackets and the words inside with ones that are appropriate to you and your work.
**Using a source means that you are synthesizing the ideas from the work of another into the original ideas you are putting forward in your work. You will have at least one in-text citation and reference list item using APA formatting for each source. Adding sources to the reference list without an in-text citation will result in no credit for that source.
***This section of the assignment has one required source. A minimum of three sources are required for this section which may come from the resources list or other CREDIBLE sources. Wikipedia may not be used as a source BUT its reference lists may be checked for credible sources.
****USF College of Engineering Majors are departments or major topic areas in departments, they include: Biomedical engineering, chemical engineering, civil engineering, structural engineering, environmental engineering, transportation engineering, computer science, computer engineering, cybersecurity, electrical engineering, industrial engineering, and mechanical engineering
Work to Submit. Complete all of the required information for each source you will use.
Element 2: Probability and Statistics Literacy will Enhance Your Employability.
For this section of your document you will read, interpret, and use descriptive statistics to make an argument that proficiency with probability and statistics will help students get a job when they graduate using the sources provided, these are:
The Four Career Competencies Employers Value Most
Links to an external site.
by NACE Staff
Are College Graduates “Career Ready”?
Links to an external site.
by NACE Staff
You must incorporate data from both sources, meaning you will have at least two points to make with the data as part of this section.
Work to Submit: For this part of the assignment, you will complete the following for each source you use, including the four provided.
· An APA formatted reference list item
· An in-text citation formatted in APA format
· For each source, a brief explanation of
1. What data from each document you will use to support your argument. You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument. For the source you use for the definition of the competencies list the competency or competencies you believe you will enhance in the probability and statistics course. You may not select all as being relevant to this course, you must think about, and make a choice about which competencies are core learning outcomes of this course and make an argument to support that.
2. How you will use the numerical data to support your argument. For the source you use for the definition of the competencies you will describe the way you will incorporate an understanding of the competency into your final document.
Element 3: Reference List (You may work with your assigned groups to complete the reference list.)
Work to Submit: Using the reference list items from above and any extra sources you plan to use, create an APA formatted reference list. You will have a minimum of 4 sources. It is important that your reference listings have the correct information, in the correct order, and that the items and list are formatted correctly. For the reference section, make sure the listings are alphabetized so they can be easily found. Use the APA formatting resources in your reading to help you with this. BEWARE: citation generators are often wrong; you can start with them BUT must revise any that are incorrect.
Element 4: Engaging Your Audience
For this section you will
1. Think about and describe a significant, shared aspirational goal or goals of young professionals entering the field. This goal will be something you can use to engage your readers as you start the document. In the example you will see for architecture students this is to design iconic buildings.
2. Develop a
thesis statement
Name: Herta Ayrton
Element 1: Use of Statistics in architecture
Source 1:
In-text citation
(Carbonnier, 2020)
Reference Listing for this source
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. HCM
Architects. https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
new-normal-2020-04-03/
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article defines zero net energy buildings and design strategies. It explains how
statistics are collected from IoT data sources and used in GIS to inform building form and
location decisions to maximize energy performance by evaluating sun, wind, and light. I will be
using Zero Net Energy buildings as an example of the use of statistics in the design phase of an
architectural design process.
Source 2:
In-text citation
(Gobes-Ryan, 2022)
Reference Listing for this source
Gobes-Ryan, S. (2022). The importance of probability and statistics in engineering and computer
science. https://usflearn.instructure.com/courses/1664254/pages/the-importance-of-
probability-and-statistics-in-engineering-and-computer-science
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article provides insight into how probability and statistics are used across many of the
disciplines in our college.
https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
Source 3:
In-text citation
(Goy, Maréchal, & Finn, 2020)
Reference Listing for this source
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modeling:
Assessing impacts and overcoming availability challenges. Energies (Basel), 13(16)
4244. doi: 10.3390/en13164244
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article addresses the use of data in building energy modeling and where there are gaps
in the data. This is the most essential source I have for understanding how data is used in
building energy modeling.
Element 2: Probability and Statistics Literacy will Enhance Your
Employability examples are not provided for this section; the questions are
straightforward
What statistical parameters are you able to determine in the data provided?
Given the type of data you are provided, and the question being asked is the mean or median the
most appropriate measure of location to use? Why?
Is a measure of spread important to the question being ask? Why or why not?
Is the data provided
Discrete OR Continuous
Numerical OR Categorical
Of the data provided, which important skill(s) will you hone within the math part of your
statistics course? How is this connected to having probability and statistics proficiency?
What two categories of data are provided in the data set?
How can each of these be used to support the case you will make in the IDL 1 Final?
Develop a table that is clear, easy to read and is organized to highlight the most important data to
your argument.
Element 3: Reference list
Hints: Reference lists in APA format are organized alphabetically by the first letter of the
reference item. This is done to make it easy for readers to find as the in-text citation starts with
the same words/names
Reference List
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. HCM
Architects. https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
new-normal-2020-04-03/
Gobes-Ryan, S. (2022). The importance of probability and statistics in engineering and computer
science. https://usflearn.instructure.com/courses/1664254/pages/the-importance-of-
probability-and-statistics-in-engineering-and-computer-science
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modelling:
Assessing impacts and overcoming availability challenges. Energies (Basel), 13(16)
4244. doi: 10.3390/en13164244
Element 4: Appealing to your audience
Describe the aspirational goal of a professional in your field
create iconic buildings
Develop a preliminary thesis statement for your document? (What is it about and
why does that matter?)
Probability and statistics proficiencies are essential skills for those who aim to create the high
performing architecture possible for our generation.
Sheila Gobes-Ryan 1
Probability and Statistics are the Foundation
for Building Your Architectural Career
Introduction
As future architects, we all dream of creating iconic buildings that result in professional recognition
and financial success. Increases in ‘big data’ and the technologies to analyze these data sets more
effectively make it possible to improve the quality of our designs in significant ways during the
design process. However, to integrate these big-data benefits into our design solutions, we need to
become proficient in probability and statistics while in school.
To illustrate this to you, I will describe how probability and statistics are used in architectural
design and show that this skill will help start your career when you graduate. First, I will discuss the
uses of probability and statistics for improving the outcomes of several phases of architectural
projects. Then I will talk to you about the importance of having the skill to complete data analysis
when starting your career.
The Use of Probability and Statistics in Architecture
Design Phase Use of Probability and Statistics
Architects use probability and statistics during different phases of projects to improve and evaluate
the effectiveness of their built projects. In the following sections, I will present the use of
probability and statistics in four project phases:
1. Architects use probability and statistics during site selection to analyze relevant data.
2. In pre-design, they analyze client needs and evaluate their client’s industry space use trends.
3. During design, they assess the layout and material options against existing performance data.
4. In post-occupancy, they evaluate the performance of the space against project goals,
comparable properties, and performance standards and requirements.
By integrating data-driven decisions into the design process, architects can be confident that they
will achieve the high client satisfaction needed for financial success.
Probability and Statistics in Site Selection
An organization’s selection of location impacts many aspects of business success. The decision
may be which city to locate in, what city section to move to, or what specific property to occupy.
However, for each decision, organizations must consider a wide range of business impacts that
location choices can have and if these will be positive or negative for their business. With statistical
and probabilistic analysis, architects can present the business impacts of many factors based on
current data and predicting how many factors are likely to develop in the future. These factors
include access to employees with the necessary skills, proximity to clients or customers, local cost
of living and expected wages, and commute time and transportation access for employees.
Sheila Gobes-Ryan 2
Architects can use these analyses to combine client data, publicly available data, and mobile device
data to make data-driven site selection decisions (Intalytic, 2021). With this, architects provide
their clients with better business outcomes.
Probability and Statistics in Pre-Design
Architects collect and evaluate data statistically during the pre-design stage to determine building
space needs (Vangelatos, 2018) currently and into the future. Input from client interviews and
surveys, company growth projections, and industry benchmarks are all integrated into space needs
and acquisition decisions. Client organizations will rely on the dependability of this work as they
sign leases that extend for years or sometimes decades.
Probability and Statistics in the Design Phase
During the design phase, architects make decisions on materials and building systems so that
projects meet current regulations for things such as energy and water use (Yaglewad, 2020).
Additionally, we are often required to go beyond this to meet standards like the LEEDS
Sustainable Buildings Certification and Zero Net Energy (Carbonnier, 2020). Our ability to run
virtual simulations that statistically evaluate and present a wide range of design, material, and
construction options is critical to our success in this phase. These simulations integrate physics and
statistics to provide sophisticated examinations of building performance of various design choices.
Findings from these simulations allow architects to make changes to improve building performance
before anything is built (Goy, Maréchal, and Finn, 2020).
Post Occupancy Evaluations with Probability and Statistics
After clients move into buildings, sensors connected to the internet can measure and evaluate
actual building performance (Davis, 2015). Owners can assess building performance against
building code requirements and targeted certification programs, such as LEED (Davis, 2015).
With the decrease in the cost of monitoring systems, building owners and occupants are using
these systems to collect and evaluate data on building use and building systems performance in
increasingly complex ways. Vendors of building systems components are creating sophisticated
data visualizations to present this data in easy-to-understand formats.
Clients are using these analyses to move toward performance-based contracts with architects.
These contracts hold back part of the design fees until clients evaluate the buildings resulting from
an architect’s design against required performance standards (Davis, 2015). To get the
compensation they are due, architects’ pre-design systems of evaluation must match the post-
occupancy performance of the resulting buildings. As a result, architects now have a significant
financial stake in the accuracy of the probability and statistical analyses they complete.
Sheila Gobes-Ryan 3
Probability and Statistics Literacy will Enhance Your Employability
You may be thinking that this is a skill set you can skip and allow others to bring to architectural
firms. However, recent data from the National Architectural Education Association (NAEA)
(2020) suggests you should think again about this.
Surveys completed across 2,456 participating architectural practices show that 93% of these firms
of all sizes use statistical data in multiple phases of their design work. For this reason, 85% of these
firms identified data literacy as a skill they consider significant for new employees. This skill
ranked higher in importance than traditional skills such as CAD proficiency. In follow-up
interviews with 200 firm leaders, 87% identified recent graduates’ data literacy as inadequate for the
work demands of entry-level positions. This deficiency did not align with the finding that 70% of
architecture school faculty believed they were preparing their students for the data literacy
demands of the profession. Most challenging was that only 17% of architecture students identified
data literacy as a necessary professional skill (NAEA, 2020).
This data suggest that architecture programs are not preparing students for the data literacy
demands of their profession. Conversely, this preparation deficit provides a distinct advantage for
architecture students who become data literate and familiar with the uses of data analysis in their
professional lives.
Conclusion
This document discusses the many phases of architectural design work in which probability and
statistics play a role. They are first used to evaluate different options for siting a project. Then to
document building needs into the future. During the following phase of work, architects run many
design choices through simulations that evaluate and present various design choices in building
performance. Finally, owners use probability and statistics to collect data and analyze building
performance outcomes. Clients are frequently connecting these outcomes to completing payment
of architectural contracts. For this reason, as with many fields, using and evaluating data in a wide
range of probability and statistics applications is a skill that employers have indicated is critical.
When we prepare to graduate, we now know this is a skill we must have to start on a path of
financial and professional success
References
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. Retrieved
from https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-new-
normal-2020-04-03/
Chilton, J. J. & Baldry, D. (1997). The effects of integrated workplace strategies on commercial
office space. Facilities, 15(7/8), 187-194. doi: 10.1108/02632779710168227
Davis, D. (2015, April 23). How big data is transforming architecture.: The phenomenon presents
hug opportunities for the built environment and the firms that design it. Architect.
Sheila Gobes-Ryan 4
Retrieved from https://www.architectmagazine.com/technology/how-big-data-is-
transforming-architecture_o
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modelling:
Assessing impacts and overcoming availability challenges. Energies 13. doi:
10.3390/en13164244
Intalytics, (2021). Precise recommendations back by sound science. Kalibrate Company.
https://intalytics.com/real-estate-solutions/
Vangelatos, G. (2018, October 12). How architects help increase patient satisfaction in healthcare
through building design.
Yaglewad, S. (2020, May 19). How is statistics used in architecture? What After College. Retrieved
from https://whataftercollege.com/data-science/statistics-used-in-
architecture/#:~:text=How%20is%20Statistics%20used%20in%20Architecture%3F&text=W
hen%20an%20architectural%20project%20is,use%20for%20the%20end%2Dusers.
https://www.architectmagazine.com/technology/how-big-data-is-transforming-architecture_o
https://www.architectmagazine.com/technology/how-big-data-is-transforming-architecture_o
- You may be thinking that this is a skill set you can skip and allow others to bring to architectural firms. However, recent data from the National Architectural Education Association (NAEA) (2020) suggests you should think again about this.
- Surveys completed across 2,456 participating architectural practices show that 93% of these firms of all sizes use statistical data in multiple phases of their design work. For this reason, 85% of these firms identified data literacy as a skill they c…
- This data suggest that architecture programs are not preparing students for the data literacy demands of their profession. Conversely, this preparation deficit provides a distinct advantage for architecture students who become data literate and famili…
Your Title Here
Introduction
Text of your Introduction here.
The Use of Probability and Statistics in [Your Field/Department]
Text of this section
Subtitles if Used
Text of this section
Probability and Statistics Literacy will Enhance Your Employability
Text of this section
Conclusion
Text of your Introduction here.
References
1
image1
Name:
Element 1: Use of Statistics in [Your field]
Source 1:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 2:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 3:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 4:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Element 2: Probability and Statistics Literacy will Enhance Your Employability
Source 1
In-text citation
Reference Listing for this source
What data from each document you will use to support your argument? You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument
How you will use the numerical data to support your argument.
Source 2
In-text citation
Reference Listing for this source
What data from each document you will use to support your argument? You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument
How you will use the numerical data to support your argument.
Element 3: Reference List (remember to alphabetize the reference list by the first name or word in the reference item.)
Element 4: Engaging your Audience
Something Aspirational to start your document
Thesis Statement
For final
Your document purpose is to persuade first year students in your field of the importance of probability and statistics to your field (department or program).
The tone of this document is to be professional, but accessible. Important considerations for a well written document include:
· Flow at the document, paragraph and sentence level.
· Using topic sentences in each section.
· Using section headers and sub-headers, as identified below and shown in the example document.
You may refer to the
professional and general writing
resources page for tools to help with your writing. You may also work with the
Writing Studio Links to an external site.
at the USF Library; this requires planning, as it is best to have an appointment to be assured of having someone to work with.
You will include the following sections:
·
A Document Title. Document titles must briefly and precisely indicate the topic of the document. Ideally, it is also something that will catch the readers’ attention.
·
Introduction. The
introduction Links to an external site.
must accomplish the following:
· Introduces the audience to the topic and its importance. Given the audience you are writing to, first-person is appropriate, as it is your experience as a more advanced student that makes you credible.
Consider as you finalize your introduction, that the USF students you are writing to are diverse in many ways, including in age, life/professional experience, and cultural background. You must speak to all of them, not just to the ones that are like you.
· Includes a
thesis statement
Links to an external site.
that makes the primary claim you will argue in this handout and what you will say about it.
· States how you will use the document to support your argument.
· Present this in a concise, clear paragraph that makes the reader want to read your handout.
After you complete the body of your document, review your introduction to make sure it accurately states what you accomplished with the document. Revise the document as needed to make sure the introduction and the document body work together.
·
The Use of Statistics in [Your Field]. Using the information that you found in the preliminary phase of this assignment, develop this section. This section will start with an introductory paragraph giving students an overview of the different work aspects you will address. This is followed by 3 subsections (with sub-titles) describing the specific aspects of work for which statistics are used and then discussing specifically how probability or statistics enables the work to be accomplished. This section must have in-text citations to demonstrate you have researched the topic using credible sources.
·
Probability and Statistics Literacy will Enhance Your Employability. Develop a written argument using the data provided to indicate how proficiency in probability and statistics will help to develop competency/competencies employers find look for when hiring recent college graduates. Select only the competency or competencies that are core learning outcomes to this course, (you may not use all of the competencies the webpages identify). Additionally you must incorporate numerical data from both web pages into the argument.
·
Conclusion. The conclusion is a summary of your ENTIRE document. It summarizes what you have done to support you thesis, and includes a reworded restatement of your thesis. It ends with a reminder to the readers of the importance of all of this for their professional future.
·
Reference List. The document will end with an
APA formatted reference list Links to an external site.
Links to an external site.
with a minimum of four (4) references. Each source on the reference list must have at least one
APA formatted in-text citation Links to an external site.
in your document. Citations are required any place in your document where you have used the ideas, data, or images of others.
Word Count: 1000 – 1400 words (not including the reference list.) This is a guide and is most important at the lower end; if your document is shorter than 1000 words, it is likely that it is lacking the detail needed.
For preliminary
Element 1: The Use of Statistics In [Your Field] * –
You may work with other students in your major on selecting uses, finding sources, and completing APA in-text citations and your reference list for this part of the assignment. However, writing your document MUST be completed individually.
Review the
Probability and Statistics in Engineering and Computer Science
Download Probability and Statistics in Engineering and Computer Science
article and resources to develop an understanding of the ways in which your field/major*** uses probability and statistics in the work done. Select 3 applications or tasks that are relevant to your field to research in more detail. To write this well you will need at least one source that helps you identify tasks that are accomplished using probability and statistics in your field, sources to help you describe the tasks, and sources to help you describe how probability and/or statistics are used to enable accomplishing the task. These sources should provide you with information that will allow you to develop 3 clearly presented examples of how probability and statistics are used in your field.
· You must use** a minimum of 4 cited sources for this section. However, you must also have sources to support what you say, which may require you to use additional sources.
*The Use of brackets indicates that you will replace the brackets and the words inside with ones that are appropriate to you and your work.
**Using a source means that you are synthesizing the ideas from the work of another into the original ideas you are putting forward in your work. You will have at least one in-text citation and reference list item using APA formatting for each source. Adding sources to the reference list without an in-text citation will result in no credit for that source.
***This section of the assignment has one required source. A minimum of three sources are required for this section which may come from the resources list or other CREDIBLE sources. Wikipedia may not be used as a source BUT its reference lists may be checked for credible sources.
****USF College of Engineering Majors are departments or major topic areas in departments, they include: Biomedical engineering, chemical engineering, civil engineering, structural engineering, environmental engineering, transportation engineering, computer science, computer engineering, cybersecurity, electrical engineering, industrial engineering, and mechanical engineering
Work to Submit. Complete all of the required information for each source you will use.
Element 2: Probability and Statistics Literacy will Enhance Your Employability.
For this section of your document you will read, interpret, and use descriptive statistics to make an argument that proficiency with probability and statistics will help students get a job when they graduate using the sources provided, these are:
The Four Career Competencies Employers Value Most
Links to an external site.
by NACE Staff
Are College Graduates “Career Ready”?
Links to an external site.
by NACE Staff
You must incorporate data from both sources, meaning you will have at least two points to make with the data as part of this section.
Work to Submit: For this part of the assignment, you will complete the following for each source you use, including the four provided.
· An APA formatted reference list item
· An in-text citation formatted in APA format
· For each source, a brief explanation of
1. What data from each document you will use to support your argument. You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument. For the source you use for the definition of the competencies list the competency or competencies you believe you will enhance in the probability and statistics course. You may not select all as being relevant to this course, you must think about, and make a choice about which competencies are core learning outcomes of this course and make an argument to support that.
2. How you will use the numerical data to support your argument. For the source you use for the definition of the competencies you will describe the way you will incorporate an understanding of the competency into your final document.
Element 3: Reference List (You may work with your assigned groups to complete the reference list.)
Work to Submit: Using the reference list items from above and any extra sources you plan to use, create an APA formatted reference list. You will have a minimum of 4 sources. It is important that your reference listings have the correct information, in the correct order, and that the items and list are formatted correctly. For the reference section, make sure the listings are alphabetized so they can be easily found. Use the APA formatting resources in your reading to help you with this. BEWARE: citation generators are often wrong; you can start with them BUT must revise any that are incorrect.
Element 4: Engaging Your Audience
For this section you will
1. Think about and describe a significant, shared aspirational goal or goals of young professionals entering the field. This goal will be something you can use to engage your readers as you start the document. In the example you will see for architecture students this is to design iconic buildings.
2. Develop a
thesis statement
Name: Herta Ayrton
Element 1: Use of Statistics in architecture
Source 1:
In-text citation
(Carbonnier, 2020)
Reference Listing for this source
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. HCM
Architects. https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
new-normal-2020-04-03/
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article defines zero net energy buildings and design strategies. It explains how
statistics are collected from IoT data sources and used in GIS to inform building form and
location decisions to maximize energy performance by evaluating sun, wind, and light. I will be
using Zero Net Energy buildings as an example of the use of statistics in the design phase of an
architectural design process.
Source 2:
In-text citation
(Gobes-Ryan, 2022)
Reference Listing for this source
Gobes-Ryan, S. (2022). The importance of probability and statistics in engineering and computer
science. https://usflearn.instructure.com/courses/1664254/pages/the-importance-of-
probability-and-statistics-in-engineering-and-computer-science
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article provides insight into how probability and statistics are used across many of the
disciplines in our college.
https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
Source 3:
In-text citation
(Goy, Maréchal, & Finn, 2020)
Reference Listing for this source
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modeling:
Assessing impacts and overcoming availability challenges. Energies (Basel), 13(16)
4244. doi: 10.3390/en13164244
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article addresses the use of data in building energy modeling and where there are gaps
in the data. This is the most essential source I have for understanding how data is used in
building energy modeling.
Element 2: Probability and Statistics Literacy will Enhance Your
Employability examples are not provided for this section; the questions are
straightforward
What statistical parameters are you able to determine in the data provided?
Given the type of data you are provided, and the question being asked is the mean or median the
most appropriate measure of location to use? Why?
Is a measure of spread important to the question being ask? Why or why not?
Is the data provided
Discrete OR Continuous
Numerical OR Categorical
Of the data provided, which important skill(s) will you hone within the math part of your
statistics course? How is this connected to having probability and statistics proficiency?
What two categories of data are provided in the data set?
How can each of these be used to support the case you will make in the IDL 1 Final?
Develop a table that is clear, easy to read and is organized to highlight the most important data to
your argument.
Element 3: Reference list
Hints: Reference lists in APA format are organized alphabetically by the first letter of the
reference item. This is done to make it easy for readers to find as the in-text citation starts with
the same words/names
Reference List
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. HCM
Architects. https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
new-normal-2020-04-03/
Gobes-Ryan, S. (2022). The importance of probability and statistics in engineering and computer
science. https://usflearn.instructure.com/courses/1664254/pages/the-importance-of-
probability-and-statistics-in-engineering-and-computer-science
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modelling:
Assessing impacts and overcoming availability challenges. Energies (Basel), 13(16)
4244. doi: 10.3390/en13164244
Element 4: Appealing to your audience
Describe the aspirational goal of a professional in your field
create iconic buildings
Develop a preliminary thesis statement for your document? (What is it about and
why does that matter?)
Probability and statistics proficiencies are essential skills for those who aim to create the high
performing architecture possible for our generation.
Sheila Gobes-Ryan 1
Probability and Statistics are the Foundation
for Building Your Architectural Career
Introduction
As future architects, we all dream of creating iconic buildings that result in professional recognition
and financial success. Increases in ‘big data’ and the technologies to analyze these data sets more
effectively make it possible to improve the quality of our designs in significant ways during the
design process. However, to integrate these big-data benefits into our design solutions, we need to
become proficient in probability and statistics while in school.
To illustrate this to you, I will describe how probability and statistics are used in architectural
design and show that this skill will help start your career when you graduate. First, I will discuss the
uses of probability and statistics for improving the outcomes of several phases of architectural
projects. Then I will talk to you about the importance of having the skill to complete data analysis
when starting your career.
The Use of Probability and Statistics in Architecture
Design Phase Use of Probability and Statistics
Architects use probability and statistics during different phases of projects to improve and evaluate
the effectiveness of their built projects. In the following sections, I will present the use of
probability and statistics in four project phases:
1. Architects use probability and statistics during site selection to analyze relevant data.
2. In pre-design, they analyze client needs and evaluate their client’s industry space use trends.
3. During design, they assess the layout and material options against existing performance data.
4. In post-occupancy, they evaluate the performance of the space against project goals,
comparable properties, and performance standards and requirements.
By integrating data-driven decisions into the design process, architects can be confident that they
will achieve the high client satisfaction needed for financial success.
Probability and Statistics in Site Selection
An organization’s selection of location impacts many aspects of business success. The decision
may be which city to locate in, what city section to move to, or what specific property to occupy.
However, for each decision, organizations must consider a wide range of business impacts that
location choices can have and if these will be positive or negative for their business. With statistical
and probabilistic analysis, architects can present the business impacts of many factors based on
current data and predicting how many factors are likely to develop in the future. These factors
include access to employees with the necessary skills, proximity to clients or customers, local cost
of living and expected wages, and commute time and transportation access for employees.
Sheila Gobes-Ryan 2
Architects can use these analyses to combine client data, publicly available data, and mobile device
data to make data-driven site selection decisions (Intalytic, 2021). With this, architects provide
their clients with better business outcomes.
Probability and Statistics in Pre-Design
Architects collect and evaluate data statistically during the pre-design stage to determine building
space needs (Vangelatos, 2018) currently and into the future. Input from client interviews and
surveys, company growth projections, and industry benchmarks are all integrated into space needs
and acquisition decisions. Client organizations will rely on the dependability of this work as they
sign leases that extend for years or sometimes decades.
Probability and Statistics in the Design Phase
During the design phase, architects make decisions on materials and building systems so that
projects meet current regulations for things such as energy and water use (Yaglewad, 2020).
Additionally, we are often required to go beyond this to meet standards like the LEEDS
Sustainable Buildings Certification and Zero Net Energy (Carbonnier, 2020). Our ability to run
virtual simulations that statistically evaluate and present a wide range of design, material, and
construction options is critical to our success in this phase. These simulations integrate physics and
statistics to provide sophisticated examinations of building performance of various design choices.
Findings from these simulations allow architects to make changes to improve building performance
before anything is built (Goy, Maréchal, and Finn, 2020).
Post Occupancy Evaluations with Probability and Statistics
After clients move into buildings, sensors connected to the internet can measure and evaluate
actual building performance (Davis, 2015). Owners can assess building performance against
building code requirements and targeted certification programs, such as LEED (Davis, 2015).
With the decrease in the cost of monitoring systems, building owners and occupants are using
these systems to collect and evaluate data on building use and building systems performance in
increasingly complex ways. Vendors of building systems components are creating sophisticated
data visualizations to present this data in easy-to-understand formats.
Clients are using these analyses to move toward performance-based contracts with architects.
These contracts hold back part of the design fees until clients evaluate the buildings resulting from
an architect’s design against required performance standards (Davis, 2015). To get the
compensation they are due, architects’ pre-design systems of evaluation must match the post-
occupancy performance of the resulting buildings. As a result, architects now have a significant
financial stake in the accuracy of the probability and statistical analyses they complete.
Sheila Gobes-Ryan 3
Probability and Statistics Literacy will Enhance Your Employability
You may be thinking that this is a skill set you can skip and allow others to bring to architectural
firms. However, recent data from the National Architectural Education Association (NAEA)
(2020) suggests you should think again about this.
Surveys completed across 2,456 participating architectural practices show that 93% of these firms
of all sizes use statistical data in multiple phases of their design work. For this reason, 85% of these
firms identified data literacy as a skill they consider significant for new employees. This skill
ranked higher in importance than traditional skills such as CAD proficiency. In follow-up
interviews with 200 firm leaders, 87% identified recent graduates’ data literacy as inadequate for the
work demands of entry-level positions. This deficiency did not align with the finding that 70% of
architecture school faculty believed they were preparing their students for the data literacy
demands of the profession. Most challenging was that only 17% of architecture students identified
data literacy as a necessary professional skill (NAEA, 2020).
This data suggest that architecture programs are not preparing students for the data literacy
demands of their profession. Conversely, this preparation deficit provides a distinct advantage for
architecture students who become data literate and familiar with the uses of data analysis in their
professional lives.
Conclusion
This document discusses the many phases of architectural design work in which probability and
statistics play a role. They are first used to evaluate different options for siting a project. Then to
document building needs into the future. During the following phase of work, architects run many
design choices through simulations that evaluate and present various design choices in building
performance. Finally, owners use probability and statistics to collect data and analyze building
performance outcomes. Clients are frequently connecting these outcomes to completing payment
of architectural contracts. For this reason, as with many fields, using and evaluating data in a wide
range of probability and statistics applications is a skill that employers have indicated is critical.
When we prepare to graduate, we now know this is a skill we must have to start on a path of
financial and professional success
References
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. Retrieved
from https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-new-
normal-2020-04-03/
Chilton, J. J. & Baldry, D. (1997). The effects of integrated workplace strategies on commercial
office space. Facilities, 15(7/8), 187-194. doi: 10.1108/02632779710168227
Davis, D. (2015, April 23). How big data is transforming architecture.: The phenomenon presents
hug opportunities for the built environment and the firms that design it. Architect.
Sheila Gobes-Ryan 4
Retrieved from https://www.architectmagazine.com/technology/how-big-data-is-
transforming-architecture_o
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modelling:
Assessing impacts and overcoming availability challenges. Energies 13. doi:
10.3390/en13164244
Intalytics, (2021). Precise recommendations back by sound science. Kalibrate Company.
https://intalytics.com/real-estate-solutions/
Vangelatos, G. (2018, October 12). How architects help increase patient satisfaction in healthcare
through building design.
Yaglewad, S. (2020, May 19). How is statistics used in architecture? What After College. Retrieved
from https://whataftercollege.com/data-science/statistics-used-in-
architecture/#:~:text=How%20is%20Statistics%20used%20in%20Architecture%3F&text=W
hen%20an%20architectural%20project%20is,use%20for%20the%20end%2Dusers.
https://www.architectmagazine.com/technology/how-big-data-is-transforming-architecture_o
https://www.architectmagazine.com/technology/how-big-data-is-transforming-architecture_o
- You may be thinking that this is a skill set you can skip and allow others to bring to architectural firms. However, recent data from the National Architectural Education Association (NAEA) (2020) suggests you should think again about this.
- Surveys completed across 2,456 participating architectural practices show that 93% of these firms of all sizes use statistical data in multiple phases of their design work. For this reason, 85% of these firms identified data literacy as a skill they c…
- This data suggest that architecture programs are not preparing students for the data literacy demands of their profession. Conversely, this preparation deficit provides a distinct advantage for architecture students who become data literate and famili…
Your Title Here
Introduction
Text of your Introduction here.
The Use of Probability and Statistics in [Your Field/Department]
Text of this section
Subtitles if Used
Text of this section
Probability and Statistics Literacy will Enhance Your Employability
Text of this section
Conclusion
Text of your Introduction here.
References
1
image1
Name:
Element 1: Use of Statistics in [Your field]
Source 1:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 2:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 3:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 4:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Element 2: Probability and Statistics Literacy will Enhance Your Employability
Source 1
In-text citation
Reference Listing for this source
What data from each document you will use to support your argument? You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument
How you will use the numerical data to support your argument.
Source 2
In-text citation
Reference Listing for this source
What data from each document you will use to support your argument? You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument
How you will use the numerical data to support your argument.
Element 3: Reference List (remember to alphabetize the reference list by the first name or word in the reference item.)
Element 4: Engaging your Audience
Something Aspirational to start your document
Thesis Statement
For final
Your document purpose is to persuade first year students in your field of the importance of probability and statistics to your field (department or program).
The tone of this document is to be professional, but accessible. Important considerations for a well written document include:
· Flow at the document, paragraph and sentence level.
· Using topic sentences in each section.
· Using section headers and sub-headers, as identified below and shown in the example document.
You may refer to the
professional and general writing
resources page for tools to help with your writing. You may also work with the
Writing Studio Links to an external site.
at the USF Library; this requires planning, as it is best to have an appointment to be assured of having someone to work with.
You will include the following sections:
·
A Document Title. Document titles must briefly and precisely indicate the topic of the document. Ideally, it is also something that will catch the readers’ attention.
·
Introduction. The
introduction Links to an external site.
must accomplish the following:
· Introduces the audience to the topic and its importance. Given the audience you are writing to, first-person is appropriate, as it is your experience as a more advanced student that makes you credible.
Consider as you finalize your introduction, that the USF students you are writing to are diverse in many ways, including in age, life/professional experience, and cultural background. You must speak to all of them, not just to the ones that are like you.
· Includes a
thesis statement
Links to an external site.
that makes the primary claim you will argue in this handout and what you will say about it.
· States how you will use the document to support your argument.
· Present this in a concise, clear paragraph that makes the reader want to read your handout.
After you complete the body of your document, review your introduction to make sure it accurately states what you accomplished with the document. Revise the document as needed to make sure the introduction and the document body work together.
·
The Use of Statistics in [Your Field]. Using the information that you found in the preliminary phase of this assignment, develop this section. This section will start with an introductory paragraph giving students an overview of the different work aspects you will address. This is followed by 3 subsections (with sub-titles) describing the specific aspects of work for which statistics are used and then discussing specifically how probability or statistics enables the work to be accomplished. This section must have in-text citations to demonstrate you have researched the topic using credible sources.
·
Probability and Statistics Literacy will Enhance Your Employability. Develop a written argument using the data provided to indicate how proficiency in probability and statistics will help to develop competency/competencies employers find look for when hiring recent college graduates. Select only the competency or competencies that are core learning outcomes to this course, (you may not use all of the competencies the webpages identify). Additionally you must incorporate numerical data from both web pages into the argument.
·
Conclusion. The conclusion is a summary of your ENTIRE document. It summarizes what you have done to support you thesis, and includes a reworded restatement of your thesis. It ends with a reminder to the readers of the importance of all of this for their professional future.
·
Reference List. The document will end with an
APA formatted reference list Links to an external site.
Links to an external site.
with a minimum of four (4) references. Each source on the reference list must have at least one
APA formatted in-text citation Links to an external site.
in your document. Citations are required any place in your document where you have used the ideas, data, or images of others.
Word Count: 1000 – 1400 words (not including the reference list.) This is a guide and is most important at the lower end; if your document is shorter than 1000 words, it is likely that it is lacking the detail needed.
For preliminary
Element 1: The Use of Statistics In [Your Field] * –
You may work with other students in your major on selecting uses, finding sources, and completing APA in-text citations and your reference list for this part of the assignment. However, writing your document MUST be completed individually.
Review the
Probability and Statistics in Engineering and Computer Science
Download Probability and Statistics in Engineering and Computer Science
article and resources to develop an understanding of the ways in which your field/major*** uses probability and statistics in the work done. Select 3 applications or tasks that are relevant to your field to research in more detail. To write this well you will need at least one source that helps you identify tasks that are accomplished using probability and statistics in your field, sources to help you describe the tasks, and sources to help you describe how probability and/or statistics are used to enable accomplishing the task. These sources should provide you with information that will allow you to develop 3 clearly presented examples of how probability and statistics are used in your field.
· You must use** a minimum of 4 cited sources for this section. However, you must also have sources to support what you say, which may require you to use additional sources.
*The Use of brackets indicates that you will replace the brackets and the words inside with ones that are appropriate to you and your work.
**Using a source means that you are synthesizing the ideas from the work of another into the original ideas you are putting forward in your work. You will have at least one in-text citation and reference list item using APA formatting for each source. Adding sources to the reference list without an in-text citation will result in no credit for that source.
***This section of the assignment has one required source. A minimum of three sources are required for this section which may come from the resources list or other CREDIBLE sources. Wikipedia may not be used as a source BUT its reference lists may be checked for credible sources.
****USF College of Engineering Majors are departments or major topic areas in departments, they include: Biomedical engineering, chemical engineering, civil engineering, structural engineering, environmental engineering, transportation engineering, computer science, computer engineering, cybersecurity, electrical engineering, industrial engineering, and mechanical engineering
Work to Submit. Complete all of the required information for each source you will use.
Element 2: Probability and Statistics Literacy will Enhance Your Employability.
For this section of your document you will read, interpret, and use descriptive statistics to make an argument that proficiency with probability and statistics will help students get a job when they graduate using the sources provided, these are:
The Four Career Competencies Employers Value Most
Links to an external site.
by NACE Staff
Are College Graduates “Career Ready”?
Links to an external site.
by NACE Staff
You must incorporate data from both sources, meaning you will have at least two points to make with the data as part of this section.
Work to Submit: For this part of the assignment, you will complete the following for each source you use, including the four provided.
· An APA formatted reference list item
· An in-text citation formatted in APA format
· For each source, a brief explanation of
1. What data from each document you will use to support your argument. You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument. For the source you use for the definition of the competencies list the competency or competencies you believe you will enhance in the probability and statistics course. You may not select all as being relevant to this course, you must think about, and make a choice about which competencies are core learning outcomes of this course and make an argument to support that.
2. How you will use the numerical data to support your argument. For the source you use for the definition of the competencies you will describe the way you will incorporate an understanding of the competency into your final document.
Element 3: Reference List (You may work with your assigned groups to complete the reference list.)
Work to Submit: Using the reference list items from above and any extra sources you plan to use, create an APA formatted reference list. You will have a minimum of 4 sources. It is important that your reference listings have the correct information, in the correct order, and that the items and list are formatted correctly. For the reference section, make sure the listings are alphabetized so they can be easily found. Use the APA formatting resources in your reading to help you with this. BEWARE: citation generators are often wrong; you can start with them BUT must revise any that are incorrect.
Element 4: Engaging Your Audience
For this section you will
1. Think about and describe a significant, shared aspirational goal or goals of young professionals entering the field. This goal will be something you can use to engage your readers as you start the document. In the example you will see for architecture students this is to design iconic buildings.
2. Develop a
thesis statement
Name: Herta Ayrton
Element 1: Use of Statistics in architecture
Source 1:
In-text citation
(Carbonnier, 2020)
Reference Listing for this source
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. HCM
Architects. https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
new-normal-2020-04-03/
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article defines zero net energy buildings and design strategies. It explains how
statistics are collected from IoT data sources and used in GIS to inform building form and
location decisions to maximize energy performance by evaluating sun, wind, and light. I will be
using Zero Net Energy buildings as an example of the use of statistics in the design phase of an
architectural design process.
Source 2:
In-text citation
(Gobes-Ryan, 2022)
Reference Listing for this source
Gobes-Ryan, S. (2022). The importance of probability and statistics in engineering and computer
science. https://usflearn.instructure.com/courses/1664254/pages/the-importance-of-
probability-and-statistics-in-engineering-and-computer-science
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article provides insight into how probability and statistics are used across many of the
disciplines in our college.
https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
Source 3:
In-text citation
(Goy, Maréchal, & Finn, 2020)
Reference Listing for this source
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modeling:
Assessing impacts and overcoming availability challenges. Energies (Basel), 13(16)
4244. doi: 10.3390/en13164244
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article addresses the use of data in building energy modeling and where there are gaps
in the data. This is the most essential source I have for understanding how data is used in
building energy modeling.
Element 2: Probability and Statistics Literacy will Enhance Your
Employability examples are not provided for this section; the questions are
straightforward
What statistical parameters are you able to determine in the data provided?
Given the type of data you are provided, and the question being asked is the mean or median the
most appropriate measure of location to use? Why?
Is a measure of spread important to the question being ask? Why or why not?
Is the data provided
Discrete OR Continuous
Numerical OR Categorical
Of the data provided, which important skill(s) will you hone within the math part of your
statistics course? How is this connected to having probability and statistics proficiency?
What two categories of data are provided in the data set?
How can each of these be used to support the case you will make in the IDL 1 Final?
Develop a table that is clear, easy to read and is organized to highlight the most important data to
your argument.
Element 3: Reference list
Hints: Reference lists in APA format are organized alphabetically by the first letter of the
reference item. This is done to make it easy for readers to find as the in-text citation starts with
the same words/names
Reference List
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. HCM
Architects. https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
new-normal-2020-04-03/
Gobes-Ryan, S. (2022). The importance of probability and statistics in engineering and computer
science. https://usflearn.instructure.com/courses/1664254/pages/the-importance-of-
probability-and-statistics-in-engineering-and-computer-science
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modelling:
Assessing impacts and overcoming availability challenges. Energies (Basel), 13(16)
4244. doi: 10.3390/en13164244
Element 4: Appealing to your audience
Describe the aspirational goal of a professional in your field
create iconic buildings
Develop a preliminary thesis statement for your document? (What is it about and
why does that matter?)
Probability and statistics proficiencies are essential skills for those who aim to create the high
performing architecture possible for our generation.
Sheila Gobes-Ryan 1
Probability and Statistics are the Foundation
for Building Your Architectural Career
Introduction
As future architects, we all dream of creating iconic buildings that result in professional recognition
and financial success. Increases in ‘big data’ and the technologies to analyze these data sets more
effectively make it possible to improve the quality of our designs in significant ways during the
design process. However, to integrate these big-data benefits into our design solutions, we need to
become proficient in probability and statistics while in school.
To illustrate this to you, I will describe how probability and statistics are used in architectural
design and show that this skill will help start your career when you graduate. First, I will discuss the
uses of probability and statistics for improving the outcomes of several phases of architectural
projects. Then I will talk to you about the importance of having the skill to complete data analysis
when starting your career.
The Use of Probability and Statistics in Architecture
Design Phase Use of Probability and Statistics
Architects use probability and statistics during different phases of projects to improve and evaluate
the effectiveness of their built projects. In the following sections, I will present the use of
probability and statistics in four project phases:
1. Architects use probability and statistics during site selection to analyze relevant data.
2. In pre-design, they analyze client needs and evaluate their client’s industry space use trends.
3. During design, they assess the layout and material options against existing performance data.
4. In post-occupancy, they evaluate the performance of the space against project goals,
comparable properties, and performance standards and requirements.
By integrating data-driven decisions into the design process, architects can be confident that they
will achieve the high client satisfaction needed for financial success.
Probability and Statistics in Site Selection
An organization’s selection of location impacts many aspects of business success. The decision
may be which city to locate in, what city section to move to, or what specific property to occupy.
However, for each decision, organizations must consider a wide range of business impacts that
location choices can have and if these will be positive or negative for their business. With statistical
and probabilistic analysis, architects can present the business impacts of many factors based on
current data and predicting how many factors are likely to develop in the future. These factors
include access to employees with the necessary skills, proximity to clients or customers, local cost
of living and expected wages, and commute time and transportation access for employees.
Sheila Gobes-Ryan 2
Architects can use these analyses to combine client data, publicly available data, and mobile device
data to make data-driven site selection decisions (Intalytic, 2021). With this, architects provide
their clients with better business outcomes.
Probability and Statistics in Pre-Design
Architects collect and evaluate data statistically during the pre-design stage to determine building
space needs (Vangelatos, 2018) currently and into the future. Input from client interviews and
surveys, company growth projections, and industry benchmarks are all integrated into space needs
and acquisition decisions. Client organizations will rely on the dependability of this work as they
sign leases that extend for years or sometimes decades.
Probability and Statistics in the Design Phase
During the design phase, architects make decisions on materials and building systems so that
projects meet current regulations for things such as energy and water use (Yaglewad, 2020).
Additionally, we are often required to go beyond this to meet standards like the LEEDS
Sustainable Buildings Certification and Zero Net Energy (Carbonnier, 2020). Our ability to run
virtual simulations that statistically evaluate and present a wide range of design, material, and
construction options is critical to our success in this phase. These simulations integrate physics and
statistics to provide sophisticated examinations of building performance of various design choices.
Findings from these simulations allow architects to make changes to improve building performance
before anything is built (Goy, Maréchal, and Finn, 2020).
Post Occupancy Evaluations with Probability and Statistics
After clients move into buildings, sensors connected to the internet can measure and evaluate
actual building performance (Davis, 2015). Owners can assess building performance against
building code requirements and targeted certification programs, such as LEED (Davis, 2015).
With the decrease in the cost of monitoring systems, building owners and occupants are using
these systems to collect and evaluate data on building use and building systems performance in
increasingly complex ways. Vendors of building systems components are creating sophisticated
data visualizations to present this data in easy-to-understand formats.
Clients are using these analyses to move toward performance-based contracts with architects.
These contracts hold back part of the design fees until clients evaluate the buildings resulting from
an architect’s design against required performance standards (Davis, 2015). To get the
compensation they are due, architects’ pre-design systems of evaluation must match the post-
occupancy performance of the resulting buildings. As a result, architects now have a significant
financial stake in the accuracy of the probability and statistical analyses they complete.
Sheila Gobes-Ryan 3
Probability and Statistics Literacy will Enhance Your Employability
You may be thinking that this is a skill set you can skip and allow others to bring to architectural
firms. However, recent data from the National Architectural Education Association (NAEA)
(2020) suggests you should think again about this.
Surveys completed across 2,456 participating architectural practices show that 93% of these firms
of all sizes use statistical data in multiple phases of their design work. For this reason, 85% of these
firms identified data literacy as a skill they consider significant for new employees. This skill
ranked higher in importance than traditional skills such as CAD proficiency. In follow-up
interviews with 200 firm leaders, 87% identified recent graduates’ data literacy as inadequate for the
work demands of entry-level positions. This deficiency did not align with the finding that 70% of
architecture school faculty believed they were preparing their students for the data literacy
demands of the profession. Most challenging was that only 17% of architecture students identified
data literacy as a necessary professional skill (NAEA, 2020).
This data suggest that architecture programs are not preparing students for the data literacy
demands of their profession. Conversely, this preparation deficit provides a distinct advantage for
architecture students who become data literate and familiar with the uses of data analysis in their
professional lives.
Conclusion
This document discusses the many phases of architectural design work in which probability and
statistics play a role. They are first used to evaluate different options for siting a project. Then to
document building needs into the future. During the following phase of work, architects run many
design choices through simulations that evaluate and present various design choices in building
performance. Finally, owners use probability and statistics to collect data and analyze building
performance outcomes. Clients are frequently connecting these outcomes to completing payment
of architectural contracts. For this reason, as with many fields, using and evaluating data in a wide
range of probability and statistics applications is a skill that employers have indicated is critical.
When we prepare to graduate, we now know this is a skill we must have to start on a path of
financial and professional success
References
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. Retrieved
from https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-new-
normal-2020-04-03/
Chilton, J. J. & Baldry, D. (1997). The effects of integrated workplace strategies on commercial
office space. Facilities, 15(7/8), 187-194. doi: 10.1108/02632779710168227
Davis, D. (2015, April 23). How big data is transforming architecture.: The phenomenon presents
hug opportunities for the built environment and the firms that design it. Architect.
Sheila Gobes-Ryan 4
Retrieved from https://www.architectmagazine.com/technology/how-big-data-is-
transforming-architecture_o
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modelling:
Assessing impacts and overcoming availability challenges. Energies 13. doi:
10.3390/en13164244
Intalytics, (2021). Precise recommendations back by sound science. Kalibrate Company.
https://intalytics.com/real-estate-solutions/
Vangelatos, G. (2018, October 12). How architects help increase patient satisfaction in healthcare
through building design.
Yaglewad, S. (2020, May 19). How is statistics used in architecture? What After College. Retrieved
from https://whataftercollege.com/data-science/statistics-used-in-
architecture/#:~:text=How%20is%20Statistics%20used%20in%20Architecture%3F&text=W
hen%20an%20architectural%20project%20is,use%20for%20the%20end%2Dusers.
https://www.architectmagazine.com/technology/how-big-data-is-transforming-architecture_o
https://www.architectmagazine.com/technology/how-big-data-is-transforming-architecture_o
- You may be thinking that this is a skill set you can skip and allow others to bring to architectural firms. However, recent data from the National Architectural Education Association (NAEA) (2020) suggests you should think again about this.
- Surveys completed across 2,456 participating architectural practices show that 93% of these firms of all sizes use statistical data in multiple phases of their design work. For this reason, 85% of these firms identified data literacy as a skill they c…
- This data suggest that architecture programs are not preparing students for the data literacy demands of their profession. Conversely, this preparation deficit provides a distinct advantage for architecture students who become data literate and famili…
Your Title Here
Introduction
Text of your Introduction here.
The Use of Probability and Statistics in [Your Field/Department]
Text of this section
Subtitles if Used
Text of this section
Probability and Statistics Literacy will Enhance Your Employability
Text of this section
Conclusion
Text of your Introduction here.
References
1
image1
Name:
Element 1: Use of Statistics in [Your field]
Source 1:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 2:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 3:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 4:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Element 2: Probability and Statistics Literacy will Enhance Your Employability
Source 1
In-text citation
Reference Listing for this source
What data from each document you will use to support your argument? You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument
How you will use the numerical data to support your argument.
Source 2
In-text citation
Reference Listing for this source
What data from each document you will use to support your argument? You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument
How you will use the numerical data to support your argument.
Element 3: Reference List (remember to alphabetize the reference list by the first name or word in the reference item.)
Element 4: Engaging your Audience
Something Aspirational to start your document
Thesis Statement
For final
Your document purpose is to persuade first year students in your field of the importance of probability and statistics to your field (department or program).
The tone of this document is to be professional, but accessible. Important considerations for a well written document include:
· Flow at the document, paragraph and sentence level.
· Using topic sentences in each section.
· Using section headers and sub-headers, as identified below and shown in the example document.
You may refer to the
professional and general writing
resources page for tools to help with your writing. You may also work with the
Writing Studio Links to an external site.
at the USF Library; this requires planning, as it is best to have an appointment to be assured of having someone to work with.
You will include the following sections:
·
A Document Title. Document titles must briefly and precisely indicate the topic of the document. Ideally, it is also something that will catch the readers’ attention.
·
Introduction. The
introduction Links to an external site.
must accomplish the following:
· Introduces the audience to the topic and its importance. Given the audience you are writing to, first-person is appropriate, as it is your experience as a more advanced student that makes you credible.
Consider as you finalize your introduction, that the USF students you are writing to are diverse in many ways, including in age, life/professional experience, and cultural background. You must speak to all of them, not just to the ones that are like you.
· Includes a
thesis statement
Links to an external site.
that makes the primary claim you will argue in this handout and what you will say about it.
· States how you will use the document to support your argument.
· Present this in a concise, clear paragraph that makes the reader want to read your handout.
After you complete the body of your document, review your introduction to make sure it accurately states what you accomplished with the document. Revise the document as needed to make sure the introduction and the document body work together.
·
The Use of Statistics in [Your Field]. Using the information that you found in the preliminary phase of this assignment, develop this section. This section will start with an introductory paragraph giving students an overview of the different work aspects you will address. This is followed by 3 subsections (with sub-titles) describing the specific aspects of work for which statistics are used and then discussing specifically how probability or statistics enables the work to be accomplished. This section must have in-text citations to demonstrate you have researched the topic using credible sources.
·
Probability and Statistics Literacy will Enhance Your Employability. Develop a written argument using the data provided to indicate how proficiency in probability and statistics will help to develop competency/competencies employers find look for when hiring recent college graduates. Select only the competency or competencies that are core learning outcomes to this course, (you may not use all of the competencies the webpages identify). Additionally you must incorporate numerical data from both web pages into the argument.
·
Conclusion. The conclusion is a summary of your ENTIRE document. It summarizes what you have done to support you thesis, and includes a reworded restatement of your thesis. It ends with a reminder to the readers of the importance of all of this for their professional future.
·
Reference List. The document will end with an
APA formatted reference list Links to an external site.
Links to an external site.
with a minimum of four (4) references. Each source on the reference list must have at least one
APA formatted in-text citation Links to an external site.
in your document. Citations are required any place in your document where you have used the ideas, data, or images of others.
Word Count: 1000 – 1400 words (not including the reference list.) This is a guide and is most important at the lower end; if your document is shorter than 1000 words, it is likely that it is lacking the detail needed.
For preliminary
Element 1: The Use of Statistics In [Your Field] * –
You may work with other students in your major on selecting uses, finding sources, and completing APA in-text citations and your reference list for this part of the assignment. However, writing your document MUST be completed individually.
Review the
Probability and Statistics in Engineering and Computer Science
Download Probability and Statistics in Engineering and Computer Science
article and resources to develop an understanding of the ways in which your field/major*** uses probability and statistics in the work done. Select 3 applications or tasks that are relevant to your field to research in more detail. To write this well you will need at least one source that helps you identify tasks that are accomplished using probability and statistics in your field, sources to help you describe the tasks, and sources to help you describe how probability and/or statistics are used to enable accomplishing the task. These sources should provide you with information that will allow you to develop 3 clearly presented examples of how probability and statistics are used in your field.
· You must use** a minimum of 4 cited sources for this section. However, you must also have sources to support what you say, which may require you to use additional sources.
*The Use of brackets indicates that you will replace the brackets and the words inside with ones that are appropriate to you and your work.
**Using a source means that you are synthesizing the ideas from the work of another into the original ideas you are putting forward in your work. You will have at least one in-text citation and reference list item using APA formatting for each source. Adding sources to the reference list without an in-text citation will result in no credit for that source.
***This section of the assignment has one required source. A minimum of three sources are required for this section which may come from the resources list or other CREDIBLE sources. Wikipedia may not be used as a source BUT its reference lists may be checked for credible sources.
****USF College of Engineering Majors are departments or major topic areas in departments, they include: Biomedical engineering, chemical engineering, civil engineering, structural engineering, environmental engineering, transportation engineering, computer science, computer engineering, cybersecurity, electrical engineering, industrial engineering, and mechanical engineering
Work to Submit. Complete all of the required information for each source you will use.
Element 2: Probability and Statistics Literacy will Enhance Your Employability.
For this section of your document you will read, interpret, and use descriptive statistics to make an argument that proficiency with probability and statistics will help students get a job when they graduate using the sources provided, these are:
The Four Career Competencies Employers Value Most
Links to an external site.
by NACE Staff
Are College Graduates “Career Ready”?
Links to an external site.
by NACE Staff
You must incorporate data from both sources, meaning you will have at least two points to make with the data as part of this section.
Work to Submit: For this part of the assignment, you will complete the following for each source you use, including the four provided.
· An APA formatted reference list item
· An in-text citation formatted in APA format
· For each source, a brief explanation of
1. What data from each document you will use to support your argument. You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument. For the source you use for the definition of the competencies list the competency or competencies you believe you will enhance in the probability and statistics course. You may not select all as being relevant to this course, you must think about, and make a choice about which competencies are core learning outcomes of this course and make an argument to support that.
2. How you will use the numerical data to support your argument. For the source you use for the definition of the competencies you will describe the way you will incorporate an understanding of the competency into your final document.
Element 3: Reference List (You may work with your assigned groups to complete the reference list.)
Work to Submit: Using the reference list items from above and any extra sources you plan to use, create an APA formatted reference list. You will have a minimum of 4 sources. It is important that your reference listings have the correct information, in the correct order, and that the items and list are formatted correctly. For the reference section, make sure the listings are alphabetized so they can be easily found. Use the APA formatting resources in your reading to help you with this. BEWARE: citation generators are often wrong; you can start with them BUT must revise any that are incorrect.
Element 4: Engaging Your Audience
For this section you will
1. Think about and describe a significant, shared aspirational goal or goals of young professionals entering the field. This goal will be something you can use to engage your readers as you start the document. In the example you will see for architecture students this is to design iconic buildings.
2. Develop a
thesis statement
Name: Herta Ayrton
Element 1: Use of Statistics in architecture
Source 1:
In-text citation
(Carbonnier, 2020)
Reference Listing for this source
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. HCM
Architects. https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
new-normal-2020-04-03/
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article defines zero net energy buildings and design strategies. It explains how
statistics are collected from IoT data sources and used in GIS to inform building form and
location decisions to maximize energy performance by evaluating sun, wind, and light. I will be
using Zero Net Energy buildings as an example of the use of statistics in the design phase of an
architectural design process.
Source 2:
In-text citation
(Gobes-Ryan, 2022)
Reference Listing for this source
Gobes-Ryan, S. (2022). The importance of probability and statistics in engineering and computer
science. https://usflearn.instructure.com/courses/1664254/pages/the-importance-of-
probability-and-statistics-in-engineering-and-computer-science
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article provides insight into how probability and statistics are used across many of the
disciplines in our college.
https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
Source 3:
In-text citation
(Goy, Maréchal, & Finn, 2020)
Reference Listing for this source
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modeling:
Assessing impacts and overcoming availability challenges. Energies (Basel), 13(16)
4244. doi: 10.3390/en13164244
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article addresses the use of data in building energy modeling and where there are gaps
in the data. This is the most essential source I have for understanding how data is used in
building energy modeling.
Element 2: Probability and Statistics Literacy will Enhance Your
Employability examples are not provided for this section; the questions are
straightforward
What statistical parameters are you able to determine in the data provided?
Given the type of data you are provided, and the question being asked is the mean or median the
most appropriate measure of location to use? Why?
Is a measure of spread important to the question being ask? Why or why not?
Is the data provided
Discrete OR Continuous
Numerical OR Categorical
Of the data provided, which important skill(s) will you hone within the math part of your
statistics course? How is this connected to having probability and statistics proficiency?
What two categories of data are provided in the data set?
How can each of these be used to support the case you will make in the IDL 1 Final?
Develop a table that is clear, easy to read and is organized to highlight the most important data to
your argument.
Element 3: Reference list
Hints: Reference lists in APA format are organized alphabetically by the first letter of the
reference item. This is done to make it easy for readers to find as the in-text citation starts with
the same words/names
Reference List
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. HCM
Architects. https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
new-normal-2020-04-03/
Gobes-Ryan, S. (2022). The importance of probability and statistics in engineering and computer
science. https://usflearn.instructure.com/courses/1664254/pages/the-importance-of-
probability-and-statistics-in-engineering-and-computer-science
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modelling:
Assessing impacts and overcoming availability challenges. Energies (Basel), 13(16)
4244. doi: 10.3390/en13164244
Element 4: Appealing to your audience
Describe the aspirational goal of a professional in your field
create iconic buildings
Develop a preliminary thesis statement for your document? (What is it about and
why does that matter?)
Probability and statistics proficiencies are essential skills for those who aim to create the high
performing architecture possible for our generation.
Sheila Gobes-Ryan 1
Probability and Statistics are the Foundation
for Building Your Architectural Career
Introduction
As future architects, we all dream of creating iconic buildings that result in professional recognition
and financial success. Increases in ‘big data’ and the technologies to analyze these data sets more
effectively make it possible to improve the quality of our designs in significant ways during the
design process. However, to integrate these big-data benefits into our design solutions, we need to
become proficient in probability and statistics while in school.
To illustrate this to you, I will describe how probability and statistics are used in architectural
design and show that this skill will help start your career when you graduate. First, I will discuss the
uses of probability and statistics for improving the outcomes of several phases of architectural
projects. Then I will talk to you about the importance of having the skill to complete data analysis
when starting your career.
The Use of Probability and Statistics in Architecture
Design Phase Use of Probability and Statistics
Architects use probability and statistics during different phases of projects to improve and evaluate
the effectiveness of their built projects. In the following sections, I will present the use of
probability and statistics in four project phases:
1. Architects use probability and statistics during site selection to analyze relevant data.
2. In pre-design, they analyze client needs and evaluate their client’s industry space use trends.
3. During design, they assess the layout and material options against existing performance data.
4. In post-occupancy, they evaluate the performance of the space against project goals,
comparable properties, and performance standards and requirements.
By integrating data-driven decisions into the design process, architects can be confident that they
will achieve the high client satisfaction needed for financial success.
Probability and Statistics in Site Selection
An organization’s selection of location impacts many aspects of business success. The decision
may be which city to locate in, what city section to move to, or what specific property to occupy.
However, for each decision, organizations must consider a wide range of business impacts that
location choices can have and if these will be positive or negative for their business. With statistical
and probabilistic analysis, architects can present the business impacts of many factors based on
current data and predicting how many factors are likely to develop in the future. These factors
include access to employees with the necessary skills, proximity to clients or customers, local cost
of living and expected wages, and commute time and transportation access for employees.
Sheila Gobes-Ryan 2
Architects can use these analyses to combine client data, publicly available data, and mobile device
data to make data-driven site selection decisions (Intalytic, 2021). With this, architects provide
their clients with better business outcomes.
Probability and Statistics in Pre-Design
Architects collect and evaluate data statistically during the pre-design stage to determine building
space needs (Vangelatos, 2018) currently and into the future. Input from client interviews and
surveys, company growth projections, and industry benchmarks are all integrated into space needs
and acquisition decisions. Client organizations will rely on the dependability of this work as they
sign leases that extend for years or sometimes decades.
Probability and Statistics in the Design Phase
During the design phase, architects make decisions on materials and building systems so that
projects meet current regulations for things such as energy and water use (Yaglewad, 2020).
Additionally, we are often required to go beyond this to meet standards like the LEEDS
Sustainable Buildings Certification and Zero Net Energy (Carbonnier, 2020). Our ability to run
virtual simulations that statistically evaluate and present a wide range of design, material, and
construction options is critical to our success in this phase. These simulations integrate physics and
statistics to provide sophisticated examinations of building performance of various design choices.
Findings from these simulations allow architects to make changes to improve building performance
before anything is built (Goy, Maréchal, and Finn, 2020).
Post Occupancy Evaluations with Probability and Statistics
After clients move into buildings, sensors connected to the internet can measure and evaluate
actual building performance (Davis, 2015). Owners can assess building performance against
building code requirements and targeted certification programs, such as LEED (Davis, 2015).
With the decrease in the cost of monitoring systems, building owners and occupants are using
these systems to collect and evaluate data on building use and building systems performance in
increasingly complex ways. Vendors of building systems components are creating sophisticated
data visualizations to present this data in easy-to-understand formats.
Clients are using these analyses to move toward performance-based contracts with architects.
These contracts hold back part of the design fees until clients evaluate the buildings resulting from
an architect’s design against required performance standards (Davis, 2015). To get the
compensation they are due, architects’ pre-design systems of evaluation must match the post-
occupancy performance of the resulting buildings. As a result, architects now have a significant
financial stake in the accuracy of the probability and statistical analyses they complete.
Sheila Gobes-Ryan 3
Probability and Statistics Literacy will Enhance Your Employability
You may be thinking that this is a skill set you can skip and allow others to bring to architectural
firms. However, recent data from the National Architectural Education Association (NAEA)
(2020) suggests you should think again about this.
Surveys completed across 2,456 participating architectural practices show that 93% of these firms
of all sizes use statistical data in multiple phases of their design work. For this reason, 85% of these
firms identified data literacy as a skill they consider significant for new employees. This skill
ranked higher in importance than traditional skills such as CAD proficiency. In follow-up
interviews with 200 firm leaders, 87% identified recent graduates’ data literacy as inadequate for the
work demands of entry-level positions. This deficiency did not align with the finding that 70% of
architecture school faculty believed they were preparing their students for the data literacy
demands of the profession. Most challenging was that only 17% of architecture students identified
data literacy as a necessary professional skill (NAEA, 2020).
This data suggest that architecture programs are not preparing students for the data literacy
demands of their profession. Conversely, this preparation deficit provides a distinct advantage for
architecture students who become data literate and familiar with the uses of data analysis in their
professional lives.
Conclusion
This document discusses the many phases of architectural design work in which probability and
statistics play a role. They are first used to evaluate different options for siting a project. Then to
document building needs into the future. During the following phase of work, architects run many
design choices through simulations that evaluate and present various design choices in building
performance. Finally, owners use probability and statistics to collect data and analyze building
performance outcomes. Clients are frequently connecting these outcomes to completing payment
of architectural contracts. For this reason, as with many fields, using and evaluating data in a wide
range of probability and statistics applications is a skill that employers have indicated is critical.
When we prepare to graduate, we now know this is a skill we must have to start on a path of
financial and professional success
References
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. Retrieved
from https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-new-
normal-2020-04-03/
Chilton, J. J. & Baldry, D. (1997). The effects of integrated workplace strategies on commercial
office space. Facilities, 15(7/8), 187-194. doi: 10.1108/02632779710168227
Davis, D. (2015, April 23). How big data is transforming architecture.: The phenomenon presents
hug opportunities for the built environment and the firms that design it. Architect.
Sheila Gobes-Ryan 4
Retrieved from https://www.architectmagazine.com/technology/how-big-data-is-
transforming-architecture_o
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modelling:
Assessing impacts and overcoming availability challenges. Energies 13. doi:
10.3390/en13164244
Intalytics, (2021). Precise recommendations back by sound science. Kalibrate Company.
https://intalytics.com/real-estate-solutions/
Vangelatos, G. (2018, October 12). How architects help increase patient satisfaction in healthcare
through building design.
Yaglewad, S. (2020, May 19). How is statistics used in architecture? What After College. Retrieved
from https://whataftercollege.com/data-science/statistics-used-in-
architecture/#:~:text=How%20is%20Statistics%20used%20in%20Architecture%3F&text=W
hen%20an%20architectural%20project%20is,use%20for%20the%20end%2Dusers.
https://www.architectmagazine.com/technology/how-big-data-is-transforming-architecture_o
https://www.architectmagazine.com/technology/how-big-data-is-transforming-architecture_o
- You may be thinking that this is a skill set you can skip and allow others to bring to architectural firms. However, recent data from the National Architectural Education Association (NAEA) (2020) suggests you should think again about this.
- Surveys completed across 2,456 participating architectural practices show that 93% of these firms of all sizes use statistical data in multiple phases of their design work. For this reason, 85% of these firms identified data literacy as a skill they c…
- This data suggest that architecture programs are not preparing students for the data literacy demands of their profession. Conversely, this preparation deficit provides a distinct advantage for architecture students who become data literate and famili…
Your Title Here
Introduction
Text of your Introduction here.
The Use of Probability and Statistics in [Your Field/Department]
Text of this section
Subtitles if Used
Text of this section
Probability and Statistics Literacy will Enhance Your Employability
Text of this section
Conclusion
Text of your Introduction here.
References
1
image1
Name:
Element 1: Use of Statistics in [Your field]
Source 1:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 2:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 3:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 4:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Element 2: Probability and Statistics Literacy will Enhance Your Employability
Source 1
In-text citation
Reference Listing for this source
What data from each document you will use to support your argument? You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument
How you will use the numerical data to support your argument.
Source 2
In-text citation
Reference Listing for this source
What data from each document you will use to support your argument? You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument
How you will use the numerical data to support your argument.
Element 3: Reference List (remember to alphabetize the reference list by the first name or word in the reference item.)
Element 4: Engaging your Audience
Something Aspirational to start your document
Thesis Statement
For final
Your document purpose is to persuade first year students in your field of the importance of probability and statistics to your field (department or program).
The tone of this document is to be professional, but accessible. Important considerations for a well written document include:
· Flow at the document, paragraph and sentence level.
· Using topic sentences in each section.
· Using section headers and sub-headers, as identified below and shown in the example document.
You may refer to the
professional and general writing
resources page for tools to help with your writing. You may also work with the
Writing Studio Links to an external site.
at the USF Library; this requires planning, as it is best to have an appointment to be assured of having someone to work with.
You will include the following sections:
·
A Document Title. Document titles must briefly and precisely indicate the topic of the document. Ideally, it is also something that will catch the readers’ attention.
·
Introduction. The
introduction Links to an external site.
must accomplish the following:
· Introduces the audience to the topic and its importance. Given the audience you are writing to, first-person is appropriate, as it is your experience as a more advanced student that makes you credible.
Consider as you finalize your introduction, that the USF students you are writing to are diverse in many ways, including in age, life/professional experience, and cultural background. You must speak to all of them, not just to the ones that are like you.
· Includes a
thesis statement
Links to an external site.
that makes the primary claim you will argue in this handout and what you will say about it.
· States how you will use the document to support your argument.
· Present this in a concise, clear paragraph that makes the reader want to read your handout.
After you complete the body of your document, review your introduction to make sure it accurately states what you accomplished with the document. Revise the document as needed to make sure the introduction and the document body work together.
·
The Use of Statistics in [Your Field]. Using the information that you found in the preliminary phase of this assignment, develop this section. This section will start with an introductory paragraph giving students an overview of the different work aspects you will address. This is followed by 3 subsections (with sub-titles) describing the specific aspects of work for which statistics are used and then discussing specifically how probability or statistics enables the work to be accomplished. This section must have in-text citations to demonstrate you have researched the topic using credible sources.
·
Probability and Statistics Literacy will Enhance Your Employability. Develop a written argument using the data provided to indicate how proficiency in probability and statistics will help to develop competency/competencies employers find look for when hiring recent college graduates. Select only the competency or competencies that are core learning outcomes to this course, (you may not use all of the competencies the webpages identify). Additionally you must incorporate numerical data from both web pages into the argument.
·
Conclusion. The conclusion is a summary of your ENTIRE document. It summarizes what you have done to support you thesis, and includes a reworded restatement of your thesis. It ends with a reminder to the readers of the importance of all of this for their professional future.
·
Reference List. The document will end with an
APA formatted reference list Links to an external site.
Links to an external site.
with a minimum of four (4) references. Each source on the reference list must have at least one
APA formatted in-text citation Links to an external site.
in your document. Citations are required any place in your document where you have used the ideas, data, or images of others.
Word Count: 1000 – 1400 words (not including the reference list.) This is a guide and is most important at the lower end; if your document is shorter than 1000 words, it is likely that it is lacking the detail needed.
For preliminary
Element 1: The Use of Statistics In [Your Field] * –
You may work with other students in your major on selecting uses, finding sources, and completing APA in-text citations and your reference list for this part of the assignment. However, writing your document MUST be completed individually.
Review the
Probability and Statistics in Engineering and Computer Science
Download Probability and Statistics in Engineering and Computer Science
article and resources to develop an understanding of the ways in which your field/major*** uses probability and statistics in the work done. Select 3 applications or tasks that are relevant to your field to research in more detail. To write this well you will need at least one source that helps you identify tasks that are accomplished using probability and statistics in your field, sources to help you describe the tasks, and sources to help you describe how probability and/or statistics are used to enable accomplishing the task. These sources should provide you with information that will allow you to develop 3 clearly presented examples of how probability and statistics are used in your field.
· You must use** a minimum of 4 cited sources for this section. However, you must also have sources to support what you say, which may require you to use additional sources.
*The Use of brackets indicates that you will replace the brackets and the words inside with ones that are appropriate to you and your work.
**Using a source means that you are synthesizing the ideas from the work of another into the original ideas you are putting forward in your work. You will have at least one in-text citation and reference list item using APA formatting for each source. Adding sources to the reference list without an in-text citation will result in no credit for that source.
***This section of the assignment has one required source. A minimum of three sources are required for this section which may come from the resources list or other CREDIBLE sources. Wikipedia may not be used as a source BUT its reference lists may be checked for credible sources.
****USF College of Engineering Majors are departments or major topic areas in departments, they include: Biomedical engineering, chemical engineering, civil engineering, structural engineering, environmental engineering, transportation engineering, computer science, computer engineering, cybersecurity, electrical engineering, industrial engineering, and mechanical engineering
Work to Submit. Complete all of the required information for each source you will use.
Element 2: Probability and Statistics Literacy will Enhance Your Employability.
For this section of your document you will read, interpret, and use descriptive statistics to make an argument that proficiency with probability and statistics will help students get a job when they graduate using the sources provided, these are:
The Four Career Competencies Employers Value Most
Links to an external site.
by NACE Staff
Are College Graduates “Career Ready”?
Links to an external site.
by NACE Staff
You must incorporate data from both sources, meaning you will have at least two points to make with the data as part of this section.
Work to Submit: For this part of the assignment, you will complete the following for each source you use, including the four provided.
· An APA formatted reference list item
· An in-text citation formatted in APA format
· For each source, a brief explanation of
1. What data from each document you will use to support your argument. You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument. For the source you use for the definition of the competencies list the competency or competencies you believe you will enhance in the probability and statistics course. You may not select all as being relevant to this course, you must think about, and make a choice about which competencies are core learning outcomes of this course and make an argument to support that.
2. How you will use the numerical data to support your argument. For the source you use for the definition of the competencies you will describe the way you will incorporate an understanding of the competency into your final document.
Element 3: Reference List (You may work with your assigned groups to complete the reference list.)
Work to Submit: Using the reference list items from above and any extra sources you plan to use, create an APA formatted reference list. You will have a minimum of 4 sources. It is important that your reference listings have the correct information, in the correct order, and that the items and list are formatted correctly. For the reference section, make sure the listings are alphabetized so they can be easily found. Use the APA formatting resources in your reading to help you with this. BEWARE: citation generators are often wrong; you can start with them BUT must revise any that are incorrect.
Element 4: Engaging Your Audience
For this section you will
1. Think about and describe a significant, shared aspirational goal or goals of young professionals entering the field. This goal will be something you can use to engage your readers as you start the document. In the example you will see for architecture students this is to design iconic buildings.
2. Develop a
thesis statement
Name: Herta Ayrton
Element 1: Use of Statistics in architecture
Source 1:
In-text citation
(Carbonnier, 2020)
Reference Listing for this source
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. HCM
Architects. https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
new-normal-2020-04-03/
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article defines zero net energy buildings and design strategies. It explains how
statistics are collected from IoT data sources and used in GIS to inform building form and
location decisions to maximize energy performance by evaluating sun, wind, and light. I will be
using Zero Net Energy buildings as an example of the use of statistics in the design phase of an
architectural design process.
Source 2:
In-text citation
(Gobes-Ryan, 2022)
Reference Listing for this source
Gobes-Ryan, S. (2022). The importance of probability and statistics in engineering and computer
science. https://usflearn.instructure.com/courses/1664254/pages/the-importance-of-
probability-and-statistics-in-engineering-and-computer-science
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article provides insight into how probability and statistics are used across many of the
disciplines in our college.
https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
Source 3:
In-text citation
(Goy, Maréchal, & Finn, 2020)
Reference Listing for this source
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modeling:
Assessing impacts and overcoming availability challenges. Energies (Basel), 13(16)
4244. doi: 10.3390/en13164244
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article addresses the use of data in building energy modeling and where there are gaps
in the data. This is the most essential source I have for understanding how data is used in
building energy modeling.
Element 2: Probability and Statistics Literacy will Enhance Your
Employability examples are not provided for this section; the questions are
straightforward
What statistical parameters are you able to determine in the data provided?
Given the type of data you are provided, and the question being asked is the mean or median the
most appropriate measure of location to use? Why?
Is a measure of spread important to the question being ask? Why or why not?
Is the data provided
Discrete OR Continuous
Numerical OR Categorical
Of the data provided, which important skill(s) will you hone within the math part of your
statistics course? How is this connected to having probability and statistics proficiency?
What two categories of data are provided in the data set?
How can each of these be used to support the case you will make in the IDL 1 Final?
Develop a table that is clear, easy to read and is organized to highlight the most important data to
your argument.
Element 3: Reference list
Hints: Reference lists in APA format are organized alphabetically by the first letter of the
reference item. This is done to make it easy for readers to find as the in-text citation starts with
the same words/names
Reference List
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. HCM
Architects. https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
new-normal-2020-04-03/
Gobes-Ryan, S. (2022). The importance of probability and statistics in engineering and computer
science. https://usflearn.instructure.com/courses/1664254/pages/the-importance-of-
probability-and-statistics-in-engineering-and-computer-science
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modelling:
Assessing impacts and overcoming availability challenges. Energies (Basel), 13(16)
4244. doi: 10.3390/en13164244
Element 4: Appealing to your audience
Describe the aspirational goal of a professional in your field
create iconic buildings
Develop a preliminary thesis statement for your document? (What is it about and
why does that matter?)
Probability and statistics proficiencies are essential skills for those who aim to create the high
performing architecture possible for our generation.
Sheila Gobes-Ryan 1
Probability and Statistics are the Foundation
for Building Your Architectural Career
Introduction
As future architects, we all dream of creating iconic buildings that result in professional recognition
and financial success. Increases in ‘big data’ and the technologies to analyze these data sets more
effectively make it possible to improve the quality of our designs in significant ways during the
design process. However, to integrate these big-data benefits into our design solutions, we need to
become proficient in probability and statistics while in school.
To illustrate this to you, I will describe how probability and statistics are used in architectural
design and show that this skill will help start your career when you graduate. First, I will discuss the
uses of probability and statistics for improving the outcomes of several phases of architectural
projects. Then I will talk to you about the importance of having the skill to complete data analysis
when starting your career.
The Use of Probability and Statistics in Architecture
Design Phase Use of Probability and Statistics
Architects use probability and statistics during different phases of projects to improve and evaluate
the effectiveness of their built projects. In the following sections, I will present the use of
probability and statistics in four project phases:
1. Architects use probability and statistics during site selection to analyze relevant data.
2. In pre-design, they analyze client needs and evaluate their client’s industry space use trends.
3. During design, they assess the layout and material options against existing performance data.
4. In post-occupancy, they evaluate the performance of the space against project goals,
comparable properties, and performance standards and requirements.
By integrating data-driven decisions into the design process, architects can be confident that they
will achieve the high client satisfaction needed for financial success.
Probability and Statistics in Site Selection
An organization’s selection of location impacts many aspects of business success. The decision
may be which city to locate in, what city section to move to, or what specific property to occupy.
However, for each decision, organizations must consider a wide range of business impacts that
location choices can have and if these will be positive or negative for their business. With statistical
and probabilistic analysis, architects can present the business impacts of many factors based on
current data and predicting how many factors are likely to develop in the future. These factors
include access to employees with the necessary skills, proximity to clients or customers, local cost
of living and expected wages, and commute time and transportation access for employees.
Sheila Gobes-Ryan 2
Architects can use these analyses to combine client data, publicly available data, and mobile device
data to make data-driven site selection decisions (Intalytic, 2021). With this, architects provide
their clients with better business outcomes.
Probability and Statistics in Pre-Design
Architects collect and evaluate data statistically during the pre-design stage to determine building
space needs (Vangelatos, 2018) currently and into the future. Input from client interviews and
surveys, company growth projections, and industry benchmarks are all integrated into space needs
and acquisition decisions. Client organizations will rely on the dependability of this work as they
sign leases that extend for years or sometimes decades.
Probability and Statistics in the Design Phase
During the design phase, architects make decisions on materials and building systems so that
projects meet current regulations for things such as energy and water use (Yaglewad, 2020).
Additionally, we are often required to go beyond this to meet standards like the LEEDS
Sustainable Buildings Certification and Zero Net Energy (Carbonnier, 2020). Our ability to run
virtual simulations that statistically evaluate and present a wide range of design, material, and
construction options is critical to our success in this phase. These simulations integrate physics and
statistics to provide sophisticated examinations of building performance of various design choices.
Findings from these simulations allow architects to make changes to improve building performance
before anything is built (Goy, Maréchal, and Finn, 2020).
Post Occupancy Evaluations with Probability and Statistics
After clients move into buildings, sensors connected to the internet can measure and evaluate
actual building performance (Davis, 2015). Owners can assess building performance against
building code requirements and targeted certification programs, such as LEED (Davis, 2015).
With the decrease in the cost of monitoring systems, building owners and occupants are using
these systems to collect and evaluate data on building use and building systems performance in
increasingly complex ways. Vendors of building systems components are creating sophisticated
data visualizations to present this data in easy-to-understand formats.
Clients are using these analyses to move toward performance-based contracts with architects.
These contracts hold back part of the design fees until clients evaluate the buildings resulting from
an architect’s design against required performance standards (Davis, 2015). To get the
compensation they are due, architects’ pre-design systems of evaluation must match the post-
occupancy performance of the resulting buildings. As a result, architects now have a significant
financial stake in the accuracy of the probability and statistical analyses they complete.
Sheila Gobes-Ryan 3
Probability and Statistics Literacy will Enhance Your Employability
You may be thinking that this is a skill set you can skip and allow others to bring to architectural
firms. However, recent data from the National Architectural Education Association (NAEA)
(2020) suggests you should think again about this.
Surveys completed across 2,456 participating architectural practices show that 93% of these firms
of all sizes use statistical data in multiple phases of their design work. For this reason, 85% of these
firms identified data literacy as a skill they consider significant for new employees. This skill
ranked higher in importance than traditional skills such as CAD proficiency. In follow-up
interviews with 200 firm leaders, 87% identified recent graduates’ data literacy as inadequate for the
work demands of entry-level positions. This deficiency did not align with the finding that 70% of
architecture school faculty believed they were preparing their students for the data literacy
demands of the profession. Most challenging was that only 17% of architecture students identified
data literacy as a necessary professional skill (NAEA, 2020).
This data suggest that architecture programs are not preparing students for the data literacy
demands of their profession. Conversely, this preparation deficit provides a distinct advantage for
architecture students who become data literate and familiar with the uses of data analysis in their
professional lives.
Conclusion
This document discusses the many phases of architectural design work in which probability and
statistics play a role. They are first used to evaluate different options for siting a project. Then to
document building needs into the future. During the following phase of work, architects run many
design choices through simulations that evaluate and present various design choices in building
performance. Finally, owners use probability and statistics to collect data and analyze building
performance outcomes. Clients are frequently connecting these outcomes to completing payment
of architectural contracts. For this reason, as with many fields, using and evaluating data in a wide
range of probability and statistics applications is a skill that employers have indicated is critical.
When we prepare to graduate, we now know this is a skill we must have to start on a path of
financial and professional success
References
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. Retrieved
from https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-new-
normal-2020-04-03/
Chilton, J. J. & Baldry, D. (1997). The effects of integrated workplace strategies on commercial
office space. Facilities, 15(7/8), 187-194. doi: 10.1108/02632779710168227
Davis, D. (2015, April 23). How big data is transforming architecture.: The phenomenon presents
hug opportunities for the built environment and the firms that design it. Architect.
Sheila Gobes-Ryan 4
Retrieved from https://www.architectmagazine.com/technology/how-big-data-is-
transforming-architecture_o
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modelling:
Assessing impacts and overcoming availability challenges. Energies 13. doi:
10.3390/en13164244
Intalytics, (2021). Precise recommendations back by sound science. Kalibrate Company.
https://intalytics.com/real-estate-solutions/
Vangelatos, G. (2018, October 12). How architects help increase patient satisfaction in healthcare
through building design.
Yaglewad, S. (2020, May 19). How is statistics used in architecture? What After College. Retrieved
from https://whataftercollege.com/data-science/statistics-used-in-
architecture/#:~:text=How%20is%20Statistics%20used%20in%20Architecture%3F&text=W
hen%20an%20architectural%20project%20is,use%20for%20the%20end%2Dusers.
https://www.architectmagazine.com/technology/how-big-data-is-transforming-architecture_o
https://www.architectmagazine.com/technology/how-big-data-is-transforming-architecture_o
- You may be thinking that this is a skill set you can skip and allow others to bring to architectural firms. However, recent data from the National Architectural Education Association (NAEA) (2020) suggests you should think again about this.
- Surveys completed across 2,456 participating architectural practices show that 93% of these firms of all sizes use statistical data in multiple phases of their design work. For this reason, 85% of these firms identified data literacy as a skill they c…
- This data suggest that architecture programs are not preparing students for the data literacy demands of their profession. Conversely, this preparation deficit provides a distinct advantage for architecture students who become data literate and famili…
Your Title Here
Introduction
Text of your Introduction here.
The Use of Probability and Statistics in [Your Field/Department]
Text of this section
Subtitles if Used
Text of this section
Probability and Statistics Literacy will Enhance Your Employability
Text of this section
Conclusion
Text of your Introduction here.
References
1
image1
Name:
Element 1: Use of Statistics in [Your field]
Source 1:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 2:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 3:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 4:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Element 2: Probability and Statistics Literacy will Enhance Your Employability
Source 1
In-text citation
Reference Listing for this source
What data from each document you will use to support your argument? You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument
How you will use the numerical data to support your argument.
Source 2
In-text citation
Reference Listing for this source
What data from each document you will use to support your argument? You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument
How you will use the numerical data to support your argument.
Element 3: Reference List (remember to alphabetize the reference list by the first name or word in the reference item.)
Element 4: Engaging your Audience
Something Aspirational to start your document
Thesis Statement
For final
Your document purpose is to persuade first year students in your field of the importance of probability and statistics to your field (department or program).
The tone of this document is to be professional, but accessible. Important considerations for a well written document include:
· Flow at the document, paragraph and sentence level.
· Using topic sentences in each section.
· Using section headers and sub-headers, as identified below and shown in the example document.
You may refer to the
professional and general writing
resources page for tools to help with your writing. You may also work with the
Writing Studio Links to an external site.
at the USF Library; this requires planning, as it is best to have an appointment to be assured of having someone to work with.
You will include the following sections:
·
A Document Title. Document titles must briefly and precisely indicate the topic of the document. Ideally, it is also something that will catch the readers’ attention.
·
Introduction. The
introduction Links to an external site.
must accomplish the following:
· Introduces the audience to the topic and its importance. Given the audience you are writing to, first-person is appropriate, as it is your experience as a more advanced student that makes you credible.
Consider as you finalize your introduction, that the USF students you are writing to are diverse in many ways, including in age, life/professional experience, and cultural background. You must speak to all of them, not just to the ones that are like you.
· Includes a
thesis statement
Links to an external site.
that makes the primary claim you will argue in this handout and what you will say about it.
· States how you will use the document to support your argument.
· Present this in a concise, clear paragraph that makes the reader want to read your handout.
After you complete the body of your document, review your introduction to make sure it accurately states what you accomplished with the document. Revise the document as needed to make sure the introduction and the document body work together.
·
The Use of Statistics in [Your Field]. Using the information that you found in the preliminary phase of this assignment, develop this section. This section will start with an introductory paragraph giving students an overview of the different work aspects you will address. This is followed by 3 subsections (with sub-titles) describing the specific aspects of work for which statistics are used and then discussing specifically how probability or statistics enables the work to be accomplished. This section must have in-text citations to demonstrate you have researched the topic using credible sources.
·
Probability and Statistics Literacy will Enhance Your Employability. Develop a written argument using the data provided to indicate how proficiency in probability and statistics will help to develop competency/competencies employers find look for when hiring recent college graduates. Select only the competency or competencies that are core learning outcomes to this course, (you may not use all of the competencies the webpages identify). Additionally you must incorporate numerical data from both web pages into the argument.
·
Conclusion. The conclusion is a summary of your ENTIRE document. It summarizes what you have done to support you thesis, and includes a reworded restatement of your thesis. It ends with a reminder to the readers of the importance of all of this for their professional future.
·
Reference List. The document will end with an
APA formatted reference list Links to an external site.
Links to an external site.
with a minimum of four (4) references. Each source on the reference list must have at least one
APA formatted in-text citation Links to an external site.
in your document. Citations are required any place in your document where you have used the ideas, data, or images of others.
Word Count: 1000 – 1400 words (not including the reference list.) This is a guide and is most important at the lower end; if your document is shorter than 1000 words, it is likely that it is lacking the detail needed.
For preliminary
Element 1: The Use of Statistics In [Your Field] * –
You may work with other students in your major on selecting uses, finding sources, and completing APA in-text citations and your reference list for this part of the assignment. However, writing your document MUST be completed individually.
Review the
Probability and Statistics in Engineering and Computer Science
Download Probability and Statistics in Engineering and Computer Science
article and resources to develop an understanding of the ways in which your field/major*** uses probability and statistics in the work done. Select 3 applications or tasks that are relevant to your field to research in more detail. To write this well you will need at least one source that helps you identify tasks that are accomplished using probability and statistics in your field, sources to help you describe the tasks, and sources to help you describe how probability and/or statistics are used to enable accomplishing the task. These sources should provide you with information that will allow you to develop 3 clearly presented examples of how probability and statistics are used in your field.
· You must use** a minimum of 4 cited sources for this section. However, you must also have sources to support what you say, which may require you to use additional sources.
*The Use of brackets indicates that you will replace the brackets and the words inside with ones that are appropriate to you and your work.
**Using a source means that you are synthesizing the ideas from the work of another into the original ideas you are putting forward in your work. You will have at least one in-text citation and reference list item using APA formatting for each source. Adding sources to the reference list without an in-text citation will result in no credit for that source.
***This section of the assignment has one required source. A minimum of three sources are required for this section which may come from the resources list or other CREDIBLE sources. Wikipedia may not be used as a source BUT its reference lists may be checked for credible sources.
****USF College of Engineering Majors are departments or major topic areas in departments, they include: Biomedical engineering, chemical engineering, civil engineering, structural engineering, environmental engineering, transportation engineering, computer science, computer engineering, cybersecurity, electrical engineering, industrial engineering, and mechanical engineering
Work to Submit. Complete all of the required information for each source you will use.
Element 2: Probability and Statistics Literacy will Enhance Your Employability.
For this section of your document you will read, interpret, and use descriptive statistics to make an argument that proficiency with probability and statistics will help students get a job when they graduate using the sources provided, these are:
The Four Career Competencies Employers Value Most
Links to an external site.
by NACE Staff
Are College Graduates “Career Ready”?
Links to an external site.
by NACE Staff
You must incorporate data from both sources, meaning you will have at least two points to make with the data as part of this section.
Work to Submit: For this part of the assignment, you will complete the following for each source you use, including the four provided.
· An APA formatted reference list item
· An in-text citation formatted in APA format
· For each source, a brief explanation of
1. What data from each document you will use to support your argument. You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument. For the source you use for the definition of the competencies list the competency or competencies you believe you will enhance in the probability and statistics course. You may not select all as being relevant to this course, you must think about, and make a choice about which competencies are core learning outcomes of this course and make an argument to support that.
2. How you will use the numerical data to support your argument. For the source you use for the definition of the competencies you will describe the way you will incorporate an understanding of the competency into your final document.
Element 3: Reference List (You may work with your assigned groups to complete the reference list.)
Work to Submit: Using the reference list items from above and any extra sources you plan to use, create an APA formatted reference list. You will have a minimum of 4 sources. It is important that your reference listings have the correct information, in the correct order, and that the items and list are formatted correctly. For the reference section, make sure the listings are alphabetized so they can be easily found. Use the APA formatting resources in your reading to help you with this. BEWARE: citation generators are often wrong; you can start with them BUT must revise any that are incorrect.
Element 4: Engaging Your Audience
For this section you will
1. Think about and describe a significant, shared aspirational goal or goals of young professionals entering the field. This goal will be something you can use to engage your readers as you start the document. In the example you will see for architecture students this is to design iconic buildings.
2. Develop a
thesis statement
Name: Herta Ayrton
Element 1: Use of Statistics in architecture
Source 1:
In-text citation
(Carbonnier, 2020)
Reference Listing for this source
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. HCM
Architects. https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
new-normal-2020-04-03/
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article defines zero net energy buildings and design strategies. It explains how
statistics are collected from IoT data sources and used in GIS to inform building form and
location decisions to maximize energy performance by evaluating sun, wind, and light. I will be
using Zero Net Energy buildings as an example of the use of statistics in the design phase of an
architectural design process.
Source 2:
In-text citation
(Gobes-Ryan, 2022)
Reference Listing for this source
Gobes-Ryan, S. (2022). The importance of probability and statistics in engineering and computer
science. https://usflearn.instructure.com/courses/1664254/pages/the-importance-of-
probability-and-statistics-in-engineering-and-computer-science
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article provides insight into how probability and statistics are used across many of the
disciplines in our college.
https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
Source 3:
In-text citation
(Goy, Maréchal, & Finn, 2020)
Reference Listing for this source
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modeling:
Assessing impacts and overcoming availability challenges. Energies (Basel), 13(16)
4244. doi: 10.3390/en13164244
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article addresses the use of data in building energy modeling and where there are gaps
in the data. This is the most essential source I have for understanding how data is used in
building energy modeling.
Element 2: Probability and Statistics Literacy will Enhance Your
Employability examples are not provided for this section; the questions are
straightforward
What statistical parameters are you able to determine in the data provided?
Given the type of data you are provided, and the question being asked is the mean or median the
most appropriate measure of location to use? Why?
Is a measure of spread important to the question being ask? Why or why not?
Is the data provided
Discrete OR Continuous
Numerical OR Categorical
Of the data provided, which important skill(s) will you hone within the math part of your
statistics course? How is this connected to having probability and statistics proficiency?
What two categories of data are provided in the data set?
How can each of these be used to support the case you will make in the IDL 1 Final?
Develop a table that is clear, easy to read and is organized to highlight the most important data to
your argument.
Element 3: Reference list
Hints: Reference lists in APA format are organized alphabetically by the first letter of the
reference item. This is done to make it easy for readers to find as the in-text citation starts with
the same words/names
Reference List
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. HCM
Architects. https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
new-normal-2020-04-03/
Gobes-Ryan, S. (2022). The importance of probability and statistics in engineering and computer
science. https://usflearn.instructure.com/courses/1664254/pages/the-importance-of-
probability-and-statistics-in-engineering-and-computer-science
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modelling:
Assessing impacts and overcoming availability challenges. Energies (Basel), 13(16)
4244. doi: 10.3390/en13164244
Element 4: Appealing to your audience
Describe the aspirational goal of a professional in your field
create iconic buildings
Develop a preliminary thesis statement for your document? (What is it about and
why does that matter?)
Probability and statistics proficiencies are essential skills for those who aim to create the high
performing architecture possible for our generation.
Sheila Gobes-Ryan 1
Probability and Statistics are the Foundation
for Building Your Architectural Career
Introduction
As future architects, we all dream of creating iconic buildings that result in professional recognition
and financial success. Increases in ‘big data’ and the technologies to analyze these data sets more
effectively make it possible to improve the quality of our designs in significant ways during the
design process. However, to integrate these big-data benefits into our design solutions, we need to
become proficient in probability and statistics while in school.
To illustrate this to you, I will describe how probability and statistics are used in architectural
design and show that this skill will help start your career when you graduate. First, I will discuss the
uses of probability and statistics for improving the outcomes of several phases of architectural
projects. Then I will talk to you about the importance of having the skill to complete data analysis
when starting your career.
The Use of Probability and Statistics in Architecture
Design Phase Use of Probability and Statistics
Architects use probability and statistics during different phases of projects to improve and evaluate
the effectiveness of their built projects. In the following sections, I will present the use of
probability and statistics in four project phases:
1. Architects use probability and statistics during site selection to analyze relevant data.
2. In pre-design, they analyze client needs and evaluate their client’s industry space use trends.
3. During design, they assess the layout and material options against existing performance data.
4. In post-occupancy, they evaluate the performance of the space against project goals,
comparable properties, and performance standards and requirements.
By integrating data-driven decisions into the design process, architects can be confident that they
will achieve the high client satisfaction needed for financial success.
Probability and Statistics in Site Selection
An organization’s selection of location impacts many aspects of business success. The decision
may be which city to locate in, what city section to move to, or what specific property to occupy.
However, for each decision, organizations must consider a wide range of business impacts that
location choices can have and if these will be positive or negative for their business. With statistical
and probabilistic analysis, architects can present the business impacts of many factors based on
current data and predicting how many factors are likely to develop in the future. These factors
include access to employees with the necessary skills, proximity to clients or customers, local cost
of living and expected wages, and commute time and transportation access for employees.
Sheila Gobes-Ryan 2
Architects can use these analyses to combine client data, publicly available data, and mobile device
data to make data-driven site selection decisions (Intalytic, 2021). With this, architects provide
their clients with better business outcomes.
Probability and Statistics in Pre-Design
Architects collect and evaluate data statistically during the pre-design stage to determine building
space needs (Vangelatos, 2018) currently and into the future. Input from client interviews and
surveys, company growth projections, and industry benchmarks are all integrated into space needs
and acquisition decisions. Client organizations will rely on the dependability of this work as they
sign leases that extend for years or sometimes decades.
Probability and Statistics in the Design Phase
During the design phase, architects make decisions on materials and building systems so that
projects meet current regulations for things such as energy and water use (Yaglewad, 2020).
Additionally, we are often required to go beyond this to meet standards like the LEEDS
Sustainable Buildings Certification and Zero Net Energy (Carbonnier, 2020). Our ability to run
virtual simulations that statistically evaluate and present a wide range of design, material, and
construction options is critical to our success in this phase. These simulations integrate physics and
statistics to provide sophisticated examinations of building performance of various design choices.
Findings from these simulations allow architects to make changes to improve building performance
before anything is built (Goy, Maréchal, and Finn, 2020).
Post Occupancy Evaluations with Probability and Statistics
After clients move into buildings, sensors connected to the internet can measure and evaluate
actual building performance (Davis, 2015). Owners can assess building performance against
building code requirements and targeted certification programs, such as LEED (Davis, 2015).
With the decrease in the cost of monitoring systems, building owners and occupants are using
these systems to collect and evaluate data on building use and building systems performance in
increasingly complex ways. Vendors of building systems components are creating sophisticated
data visualizations to present this data in easy-to-understand formats.
Clients are using these analyses to move toward performance-based contracts with architects.
These contracts hold back part of the design fees until clients evaluate the buildings resulting from
an architect’s design against required performance standards (Davis, 2015). To get the
compensation they are due, architects’ pre-design systems of evaluation must match the post-
occupancy performance of the resulting buildings. As a result, architects now have a significant
financial stake in the accuracy of the probability and statistical analyses they complete.
Sheila Gobes-Ryan 3
Probability and Statistics Literacy will Enhance Your Employability
You may be thinking that this is a skill set you can skip and allow others to bring to architectural
firms. However, recent data from the National Architectural Education Association (NAEA)
(2020) suggests you should think again about this.
Surveys completed across 2,456 participating architectural practices show that 93% of these firms
of all sizes use statistical data in multiple phases of their design work. For this reason, 85% of these
firms identified data literacy as a skill they consider significant for new employees. This skill
ranked higher in importance than traditional skills such as CAD proficiency. In follow-up
interviews with 200 firm leaders, 87% identified recent graduates’ data literacy as inadequate for the
work demands of entry-level positions. This deficiency did not align with the finding that 70% of
architecture school faculty believed they were preparing their students for the data literacy
demands of the profession. Most challenging was that only 17% of architecture students identified
data literacy as a necessary professional skill (NAEA, 2020).
This data suggest that architecture programs are not preparing students for the data literacy
demands of their profession. Conversely, this preparation deficit provides a distinct advantage for
architecture students who become data literate and familiar with the uses of data analysis in their
professional lives.
Conclusion
This document discusses the many phases of architectural design work in which probability and
statistics play a role. They are first used to evaluate different options for siting a project. Then to
document building needs into the future. During the following phase of work, architects run many
design choices through simulations that evaluate and present various design choices in building
performance. Finally, owners use probability and statistics to collect data and analyze building
performance outcomes. Clients are frequently connecting these outcomes to completing payment
of architectural contracts. For this reason, as with many fields, using and evaluating data in a wide
range of probability and statistics applications is a skill that employers have indicated is critical.
When we prepare to graduate, we now know this is a skill we must have to start on a path of
financial and professional success
References
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. Retrieved
from https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-new-
normal-2020-04-03/
Chilton, J. J. & Baldry, D. (1997). The effects of integrated workplace strategies on commercial
office space. Facilities, 15(7/8), 187-194. doi: 10.1108/02632779710168227
Davis, D. (2015, April 23). How big data is transforming architecture.: The phenomenon presents
hug opportunities for the built environment and the firms that design it. Architect.
Sheila Gobes-Ryan 4
Retrieved from https://www.architectmagazine.com/technology/how-big-data-is-
transforming-architecture_o
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modelling:
Assessing impacts and overcoming availability challenges. Energies 13. doi:
10.3390/en13164244
Intalytics, (2021). Precise recommendations back by sound science. Kalibrate Company.
https://intalytics.com/real-estate-solutions/
Vangelatos, G. (2018, October 12). How architects help increase patient satisfaction in healthcare
through building design.
Yaglewad, S. (2020, May 19). How is statistics used in architecture? What After College. Retrieved
from https://whataftercollege.com/data-science/statistics-used-in-
architecture/#:~:text=How%20is%20Statistics%20used%20in%20Architecture%3F&text=W
hen%20an%20architectural%20project%20is,use%20for%20the%20end%2Dusers.
https://www.architectmagazine.com/technology/how-big-data-is-transforming-architecture_o
https://www.architectmagazine.com/technology/how-big-data-is-transforming-architecture_o
- You may be thinking that this is a skill set you can skip and allow others to bring to architectural firms. However, recent data from the National Architectural Education Association (NAEA) (2020) suggests you should think again about this.
- Surveys completed across 2,456 participating architectural practices show that 93% of these firms of all sizes use statistical data in multiple phases of their design work. For this reason, 85% of these firms identified data literacy as a skill they c…
- This data suggest that architecture programs are not preparing students for the data literacy demands of their profession. Conversely, this preparation deficit provides a distinct advantage for architecture students who become data literate and famili…
Your Title Here
Introduction
Text of your Introduction here.
The Use of Probability and Statistics in [Your Field/Department]
Text of this section
Subtitles if Used
Text of this section
Probability and Statistics Literacy will Enhance Your Employability
Text of this section
Conclusion
Text of your Introduction here.
References
1
image1
Name:
Element 1: Use of Statistics in [Your field]
Source 1:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 2:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 3:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 4:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Element 2: Probability and Statistics Literacy will Enhance Your Employability
Source 1
In-text citation
Reference Listing for this source
What data from each document you will use to support your argument? You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument
How you will use the numerical data to support your argument.
Source 2
In-text citation
Reference Listing for this source
What data from each document you will use to support your argument? You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument
How you will use the numerical data to support your argument.
Element 3: Reference List (remember to alphabetize the reference list by the first name or word in the reference item.)
Element 4: Engaging your Audience
Something Aspirational to start your document
Thesis Statement
For final
Your document purpose is to persuade first year students in your field of the importance of probability and statistics to your field (department or program).
The tone of this document is to be professional, but accessible. Important considerations for a well written document include:
· Flow at the document, paragraph and sentence level.
· Using topic sentences in each section.
· Using section headers and sub-headers, as identified below and shown in the example document.
You may refer to the
professional and general writing
resources page for tools to help with your writing. You may also work with the
Writing Studio Links to an external site.
at the USF Library; this requires planning, as it is best to have an appointment to be assured of having someone to work with.
You will include the following sections:
·
A Document Title. Document titles must briefly and precisely indicate the topic of the document. Ideally, it is also something that will catch the readers’ attention.
·
Introduction. The
introduction Links to an external site.
must accomplish the following:
· Introduces the audience to the topic and its importance. Given the audience you are writing to, first-person is appropriate, as it is your experience as a more advanced student that makes you credible.
Consider as you finalize your introduction, that the USF students you are writing to are diverse in many ways, including in age, life/professional experience, and cultural background. You must speak to all of them, not just to the ones that are like you.
· Includes a
thesis statement
Links to an external site.
that makes the primary claim you will argue in this handout and what you will say about it.
· States how you will use the document to support your argument.
· Present this in a concise, clear paragraph that makes the reader want to read your handout.
After you complete the body of your document, review your introduction to make sure it accurately states what you accomplished with the document. Revise the document as needed to make sure the introduction and the document body work together.
·
The Use of Statistics in [Your Field]. Using the information that you found in the preliminary phase of this assignment, develop this section. This section will start with an introductory paragraph giving students an overview of the different work aspects you will address. This is followed by 3 subsections (with sub-titles) describing the specific aspects of work for which statistics are used and then discussing specifically how probability or statistics enables the work to be accomplished. This section must have in-text citations to demonstrate you have researched the topic using credible sources.
·
Probability and Statistics Literacy will Enhance Your Employability. Develop a written argument using the data provided to indicate how proficiency in probability and statistics will help to develop competency/competencies employers find look for when hiring recent college graduates. Select only the competency or competencies that are core learning outcomes to this course, (you may not use all of the competencies the webpages identify). Additionally you must incorporate numerical data from both web pages into the argument.
·
Conclusion. The conclusion is a summary of your ENTIRE document. It summarizes what you have done to support you thesis, and includes a reworded restatement of your thesis. It ends with a reminder to the readers of the importance of all of this for their professional future.
·
Reference List. The document will end with an
APA formatted reference list Links to an external site.
Links to an external site.
with a minimum of four (4) references. Each source on the reference list must have at least one
APA formatted in-text citation Links to an external site.
in your document. Citations are required any place in your document where you have used the ideas, data, or images of others.
Word Count: 1000 – 1400 words (not including the reference list.) This is a guide and is most important at the lower end; if your document is shorter than 1000 words, it is likely that it is lacking the detail needed.
For preliminary
Element 1: The Use of Statistics In [Your Field] * –
You may work with other students in your major on selecting uses, finding sources, and completing APA in-text citations and your reference list for this part of the assignment. However, writing your document MUST be completed individually.
Review the
Probability and Statistics in Engineering and Computer Science
Download Probability and Statistics in Engineering and Computer Science
article and resources to develop an understanding of the ways in which your field/major*** uses probability and statistics in the work done. Select 3 applications or tasks that are relevant to your field to research in more detail. To write this well you will need at least one source that helps you identify tasks that are accomplished using probability and statistics in your field, sources to help you describe the tasks, and sources to help you describe how probability and/or statistics are used to enable accomplishing the task. These sources should provide you with information that will allow you to develop 3 clearly presented examples of how probability and statistics are used in your field.
· You must use** a minimum of 4 cited sources for this section. However, you must also have sources to support what you say, which may require you to use additional sources.
*The Use of brackets indicates that you will replace the brackets and the words inside with ones that are appropriate to you and your work.
**Using a source means that you are synthesizing the ideas from the work of another into the original ideas you are putting forward in your work. You will have at least one in-text citation and reference list item using APA formatting for each source. Adding sources to the reference list without an in-text citation will result in no credit for that source.
***This section of the assignment has one required source. A minimum of three sources are required for this section which may come from the resources list or other CREDIBLE sources. Wikipedia may not be used as a source BUT its reference lists may be checked for credible sources.
****USF College of Engineering Majors are departments or major topic areas in departments, they include: Biomedical engineering, chemical engineering, civil engineering, structural engineering, environmental engineering, transportation engineering, computer science, computer engineering, cybersecurity, electrical engineering, industrial engineering, and mechanical engineering
Work to Submit. Complete all of the required information for each source you will use.
Element 2: Probability and Statistics Literacy will Enhance Your Employability.
For this section of your document you will read, interpret, and use descriptive statistics to make an argument that proficiency with probability and statistics will help students get a job when they graduate using the sources provided, these are:
The Four Career Competencies Employers Value Most
Links to an external site.
by NACE Staff
Are College Graduates “Career Ready”?
Links to an external site.
by NACE Staff
You must incorporate data from both sources, meaning you will have at least two points to make with the data as part of this section.
Work to Submit: For this part of the assignment, you will complete the following for each source you use, including the four provided.
· An APA formatted reference list item
· An in-text citation formatted in APA format
· For each source, a brief explanation of
1. What data from each document you will use to support your argument. You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument. For the source you use for the definition of the competencies list the competency or competencies you believe you will enhance in the probability and statistics course. You may not select all as being relevant to this course, you must think about, and make a choice about which competencies are core learning outcomes of this course and make an argument to support that.
2. How you will use the numerical data to support your argument. For the source you use for the definition of the competencies you will describe the way you will incorporate an understanding of the competency into your final document.
Element 3: Reference List (You may work with your assigned groups to complete the reference list.)
Work to Submit: Using the reference list items from above and any extra sources you plan to use, create an APA formatted reference list. You will have a minimum of 4 sources. It is important that your reference listings have the correct information, in the correct order, and that the items and list are formatted correctly. For the reference section, make sure the listings are alphabetized so they can be easily found. Use the APA formatting resources in your reading to help you with this. BEWARE: citation generators are often wrong; you can start with them BUT must revise any that are incorrect.
Element 4: Engaging Your Audience
For this section you will
1. Think about and describe a significant, shared aspirational goal or goals of young professionals entering the field. This goal will be something you can use to engage your readers as you start the document. In the example you will see for architecture students this is to design iconic buildings.
2. Develop a
thesis statement
Name: Herta Ayrton
Element 1: Use of Statistics in architecture
Source 1:
In-text citation
(Carbonnier, 2020)
Reference Listing for this source
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. HCM
Architects. https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
new-normal-2020-04-03/
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article defines zero net energy buildings and design strategies. It explains how
statistics are collected from IoT data sources and used in GIS to inform building form and
location decisions to maximize energy performance by evaluating sun, wind, and light. I will be
using Zero Net Energy buildings as an example of the use of statistics in the design phase of an
architectural design process.
Source 2:
In-text citation
(Gobes-Ryan, 2022)
Reference Listing for this source
Gobes-Ryan, S. (2022). The importance of probability and statistics in engineering and computer
science. https://usflearn.instructure.com/courses/1664254/pages/the-importance-of-
probability-and-statistics-in-engineering-and-computer-science
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article provides insight into how probability and statistics are used across many of the
disciplines in our college.
https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
Source 3:
In-text citation
(Goy, Maréchal, & Finn, 2020)
Reference Listing for this source
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modeling:
Assessing impacts and overcoming availability challenges. Energies (Basel), 13(16)
4244. doi: 10.3390/en13164244
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article addresses the use of data in building energy modeling and where there are gaps
in the data. This is the most essential source I have for understanding how data is used in
building energy modeling.
Element 2: Probability and Statistics Literacy will Enhance Your
Employability examples are not provided for this section; the questions are
straightforward
What statistical parameters are you able to determine in the data provided?
Given the type of data you are provided, and the question being asked is the mean or median the
most appropriate measure of location to use? Why?
Is a measure of spread important to the question being ask? Why or why not?
Is the data provided
Discrete OR Continuous
Numerical OR Categorical
Of the data provided, which important skill(s) will you hone within the math part of your
statistics course? How is this connected to having probability and statistics proficiency?
What two categories of data are provided in the data set?
How can each of these be used to support the case you will make in the IDL 1 Final?
Develop a table that is clear, easy to read and is organized to highlight the most important data to
your argument.
Element 3: Reference list
Hints: Reference lists in APA format are organized alphabetically by the first letter of the
reference item. This is done to make it easy for readers to find as the in-text citation starts with
the same words/names
Reference List
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. HCM
Architects. https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
new-normal-2020-04-03/
Gobes-Ryan, S. (2022). The importance of probability and statistics in engineering and computer
science. https://usflearn.instructure.com/courses/1664254/pages/the-importance-of-
probability-and-statistics-in-engineering-and-computer-science
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modelling:
Assessing impacts and overcoming availability challenges. Energies (Basel), 13(16)
4244. doi: 10.3390/en13164244
Element 4: Appealing to your audience
Describe the aspirational goal of a professional in your field
create iconic buildings
Develop a preliminary thesis statement for your document? (What is it about and
why does that matter?)
Probability and statistics proficiencies are essential skills for those who aim to create the high
performing architecture possible for our generation.
Sheila Gobes-Ryan 1
Probability and Statistics are the Foundation
for Building Your Architectural Career
Introduction
As future architects, we all dream of creating iconic buildings that result in professional recognition
and financial success. Increases in ‘big data’ and the technologies to analyze these data sets more
effectively make it possible to improve the quality of our designs in significant ways during the
design process. However, to integrate these big-data benefits into our design solutions, we need to
become proficient in probability and statistics while in school.
To illustrate this to you, I will describe how probability and statistics are used in architectural
design and show that this skill will help start your career when you graduate. First, I will discuss the
uses of probability and statistics for improving the outcomes of several phases of architectural
projects. Then I will talk to you about the importance of having the skill to complete data analysis
when starting your career.
The Use of Probability and Statistics in Architecture
Design Phase Use of Probability and Statistics
Architects use probability and statistics during different phases of projects to improve and evaluate
the effectiveness of their built projects. In the following sections, I will present the use of
probability and statistics in four project phases:
1. Architects use probability and statistics during site selection to analyze relevant data.
2. In pre-design, they analyze client needs and evaluate their client’s industry space use trends.
3. During design, they assess the layout and material options against existing performance data.
4. In post-occupancy, they evaluate the performance of the space against project goals,
comparable properties, and performance standards and requirements.
By integrating data-driven decisions into the design process, architects can be confident that they
will achieve the high client satisfaction needed for financial success.
Probability and Statistics in Site Selection
An organization’s selection of location impacts many aspects of business success. The decision
may be which city to locate in, what city section to move to, or what specific property to occupy.
However, for each decision, organizations must consider a wide range of business impacts that
location choices can have and if these will be positive or negative for their business. With statistical
and probabilistic analysis, architects can present the business impacts of many factors based on
current data and predicting how many factors are likely to develop in the future. These factors
include access to employees with the necessary skills, proximity to clients or customers, local cost
of living and expected wages, and commute time and transportation access for employees.
Sheila Gobes-Ryan 2
Architects can use these analyses to combine client data, publicly available data, and mobile device
data to make data-driven site selection decisions (Intalytic, 2021). With this, architects provide
their clients with better business outcomes.
Probability and Statistics in Pre-Design
Architects collect and evaluate data statistically during the pre-design stage to determine building
space needs (Vangelatos, 2018) currently and into the future. Input from client interviews and
surveys, company growth projections, and industry benchmarks are all integrated into space needs
and acquisition decisions. Client organizations will rely on the dependability of this work as they
sign leases that extend for years or sometimes decades.
Probability and Statistics in the Design Phase
During the design phase, architects make decisions on materials and building systems so that
projects meet current regulations for things such as energy and water use (Yaglewad, 2020).
Additionally, we are often required to go beyond this to meet standards like the LEEDS
Sustainable Buildings Certification and Zero Net Energy (Carbonnier, 2020). Our ability to run
virtual simulations that statistically evaluate and present a wide range of design, material, and
construction options is critical to our success in this phase. These simulations integrate physics and
statistics to provide sophisticated examinations of building performance of various design choices.
Findings from these simulations allow architects to make changes to improve building performance
before anything is built (Goy, Maréchal, and Finn, 2020).
Post Occupancy Evaluations with Probability and Statistics
After clients move into buildings, sensors connected to the internet can measure and evaluate
actual building performance (Davis, 2015). Owners can assess building performance against
building code requirements and targeted certification programs, such as LEED (Davis, 2015).
With the decrease in the cost of monitoring systems, building owners and occupants are using
these systems to collect and evaluate data on building use and building systems performance in
increasingly complex ways. Vendors of building systems components are creating sophisticated
data visualizations to present this data in easy-to-understand formats.
Clients are using these analyses to move toward performance-based contracts with architects.
These contracts hold back part of the design fees until clients evaluate the buildings resulting from
an architect’s design against required performance standards (Davis, 2015). To get the
compensation they are due, architects’ pre-design systems of evaluation must match the post-
occupancy performance of the resulting buildings. As a result, architects now have a significant
financial stake in the accuracy of the probability and statistical analyses they complete.
Sheila Gobes-Ryan 3
Probability and Statistics Literacy will Enhance Your Employability
You may be thinking that this is a skill set you can skip and allow others to bring to architectural
firms. However, recent data from the National Architectural Education Association (NAEA)
(2020) suggests you should think again about this.
Surveys completed across 2,456 participating architectural practices show that 93% of these firms
of all sizes use statistical data in multiple phases of their design work. For this reason, 85% of these
firms identified data literacy as a skill they consider significant for new employees. This skill
ranked higher in importance than traditional skills such as CAD proficiency. In follow-up
interviews with 200 firm leaders, 87% identified recent graduates’ data literacy as inadequate for the
work demands of entry-level positions. This deficiency did not align with the finding that 70% of
architecture school faculty believed they were preparing their students for the data literacy
demands of the profession. Most challenging was that only 17% of architecture students identified
data literacy as a necessary professional skill (NAEA, 2020).
This data suggest that architecture programs are not preparing students for the data literacy
demands of their profession. Conversely, this preparation deficit provides a distinct advantage for
architecture students who become data literate and familiar with the uses of data analysis in their
professional lives.
Conclusion
This document discusses the many phases of architectural design work in which probability and
statistics play a role. They are first used to evaluate different options for siting a project. Then to
document building needs into the future. During the following phase of work, architects run many
design choices through simulations that evaluate and present various design choices in building
performance. Finally, owners use probability and statistics to collect data and analyze building
performance outcomes. Clients are frequently connecting these outcomes to completing payment
of architectural contracts. For this reason, as with many fields, using and evaluating data in a wide
range of probability and statistics applications is a skill that employers have indicated is critical.
When we prepare to graduate, we now know this is a skill we must have to start on a path of
financial and professional success
References
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. Retrieved
from https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-new-
normal-2020-04-03/
Chilton, J. J. & Baldry, D. (1997). The effects of integrated workplace strategies on commercial
office space. Facilities, 15(7/8), 187-194. doi: 10.1108/02632779710168227
Davis, D. (2015, April 23). How big data is transforming architecture.: The phenomenon presents
hug opportunities for the built environment and the firms that design it. Architect.
Sheila Gobes-Ryan 4
Retrieved from https://www.architectmagazine.com/technology/how-big-data-is-
transforming-architecture_o
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modelling:
Assessing impacts and overcoming availability challenges. Energies 13. doi:
10.3390/en13164244
Intalytics, (2021). Precise recommendations back by sound science. Kalibrate Company.
https://intalytics.com/real-estate-solutions/
Vangelatos, G. (2018, October 12). How architects help increase patient satisfaction in healthcare
through building design.
Yaglewad, S. (2020, May 19). How is statistics used in architecture? What After College. Retrieved
from https://whataftercollege.com/data-science/statistics-used-in-
architecture/#:~:text=How%20is%20Statistics%20used%20in%20Architecture%3F&text=W
hen%20an%20architectural%20project%20is,use%20for%20the%20end%2Dusers.
https://www.architectmagazine.com/technology/how-big-data-is-transforming-architecture_o
https://www.architectmagazine.com/technology/how-big-data-is-transforming-architecture_o
- You may be thinking that this is a skill set you can skip and allow others to bring to architectural firms. However, recent data from the National Architectural Education Association (NAEA) (2020) suggests you should think again about this.
- Surveys completed across 2,456 participating architectural practices show that 93% of these firms of all sizes use statistical data in multiple phases of their design work. For this reason, 85% of these firms identified data literacy as a skill they c…
- This data suggest that architecture programs are not preparing students for the data literacy demands of their profession. Conversely, this preparation deficit provides a distinct advantage for architecture students who become data literate and famili…
Your Title Here
Introduction
Text of your Introduction here.
The Use of Probability and Statistics in [Your Field/Department]
Text of this section
Subtitles if Used
Text of this section
Probability and Statistics Literacy will Enhance Your Employability
Text of this section
Conclusion
Text of your Introduction here.
References
1
image1
Name:
Element 1: Use of Statistics in [Your field]
Source 1:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 2:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 3:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 4:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Element 2: Probability and Statistics Literacy will Enhance Your Employability
Source 1
In-text citation
Reference Listing for this source
What data from each document you will use to support your argument? You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument
How you will use the numerical data to support your argument.
Source 2
In-text citation
Reference Listing for this source
What data from each document you will use to support your argument? You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument
How you will use the numerical data to support your argument.
Element 3: Reference List (remember to alphabetize the reference list by the first name or word in the reference item.)
Element 4: Engaging your Audience
Something Aspirational to start your document
Thesis Statement
For final
Your document purpose is to persuade first year students in your field of the importance of probability and statistics to your field (department or program).
The tone of this document is to be professional, but accessible. Important considerations for a well written document include:
· Flow at the document, paragraph and sentence level.
· Using topic sentences in each section.
· Using section headers and sub-headers, as identified below and shown in the example document.
You may refer to the
professional and general writing
resources page for tools to help with your writing. You may also work with the
Writing Studio Links to an external site.
at the USF Library; this requires planning, as it is best to have an appointment to be assured of having someone to work with.
You will include the following sections:
·
A Document Title. Document titles must briefly and precisely indicate the topic of the document. Ideally, it is also something that will catch the readers’ attention.
·
Introduction. The
introduction Links to an external site.
must accomplish the following:
· Introduces the audience to the topic and its importance. Given the audience you are writing to, first-person is appropriate, as it is your experience as a more advanced student that makes you credible.
Consider as you finalize your introduction, that the USF students you are writing to are diverse in many ways, including in age, life/professional experience, and cultural background. You must speak to all of them, not just to the ones that are like you.
· Includes a
thesis statement
Links to an external site.
that makes the primary claim you will argue in this handout and what you will say about it.
· States how you will use the document to support your argument.
· Present this in a concise, clear paragraph that makes the reader want to read your handout.
After you complete the body of your document, review your introduction to make sure it accurately states what you accomplished with the document. Revise the document as needed to make sure the introduction and the document body work together.
·
The Use of Statistics in [Your Field]. Using the information that you found in the preliminary phase of this assignment, develop this section. This section will start with an introductory paragraph giving students an overview of the different work aspects you will address. This is followed by 3 subsections (with sub-titles) describing the specific aspects of work for which statistics are used and then discussing specifically how probability or statistics enables the work to be accomplished. This section must have in-text citations to demonstrate you have researched the topic using credible sources.
·
Probability and Statistics Literacy will Enhance Your Employability. Develop a written argument using the data provided to indicate how proficiency in probability and statistics will help to develop competency/competencies employers find look for when hiring recent college graduates. Select only the competency or competencies that are core learning outcomes to this course, (you may not use all of the competencies the webpages identify). Additionally you must incorporate numerical data from both web pages into the argument.
·
Conclusion. The conclusion is a summary of your ENTIRE document. It summarizes what you have done to support you thesis, and includes a reworded restatement of your thesis. It ends with a reminder to the readers of the importance of all of this for their professional future.
·
Reference List. The document will end with an
APA formatted reference list Links to an external site.
Links to an external site.
with a minimum of four (4) references. Each source on the reference list must have at least one
APA formatted in-text citation Links to an external site.
in your document. Citations are required any place in your document where you have used the ideas, data, or images of others.
Word Count: 1000 – 1400 words (not including the reference list.) This is a guide and is most important at the lower end; if your document is shorter than 1000 words, it is likely that it is lacking the detail needed.
For preliminary
Element 1: The Use of Statistics In [Your Field] * –
You may work with other students in your major on selecting uses, finding sources, and completing APA in-text citations and your reference list for this part of the assignment. However, writing your document MUST be completed individually.
Review the
Probability and Statistics in Engineering and Computer Science
Download Probability and Statistics in Engineering and Computer Science
article and resources to develop an understanding of the ways in which your field/major*** uses probability and statistics in the work done. Select 3 applications or tasks that are relevant to your field to research in more detail. To write this well you will need at least one source that helps you identify tasks that are accomplished using probability and statistics in your field, sources to help you describe the tasks, and sources to help you describe how probability and/or statistics are used to enable accomplishing the task. These sources should provide you with information that will allow you to develop 3 clearly presented examples of how probability and statistics are used in your field.
· You must use** a minimum of 4 cited sources for this section. However, you must also have sources to support what you say, which may require you to use additional sources.
*The Use of brackets indicates that you will replace the brackets and the words inside with ones that are appropriate to you and your work.
**Using a source means that you are synthesizing the ideas from the work of another into the original ideas you are putting forward in your work. You will have at least one in-text citation and reference list item using APA formatting for each source. Adding sources to the reference list without an in-text citation will result in no credit for that source.
***This section of the assignment has one required source. A minimum of three sources are required for this section which may come from the resources list or other CREDIBLE sources. Wikipedia may not be used as a source BUT its reference lists may be checked for credible sources.
****USF College of Engineering Majors are departments or major topic areas in departments, they include: Biomedical engineering, chemical engineering, civil engineering, structural engineering, environmental engineering, transportation engineering, computer science, computer engineering, cybersecurity, electrical engineering, industrial engineering, and mechanical engineering
Work to Submit. Complete all of the required information for each source you will use.
Element 2: Probability and Statistics Literacy will Enhance Your Employability.
For this section of your document you will read, interpret, and use descriptive statistics to make an argument that proficiency with probability and statistics will help students get a job when they graduate using the sources provided, these are:
The Four Career Competencies Employers Value Most
Links to an external site.
by NACE Staff
Are College Graduates “Career Ready”?
Links to an external site.
by NACE Staff
You must incorporate data from both sources, meaning you will have at least two points to make with the data as part of this section.
Work to Submit: For this part of the assignment, you will complete the following for each source you use, including the four provided.
· An APA formatted reference list item
· An in-text citation formatted in APA format
· For each source, a brief explanation of
1. What data from each document you will use to support your argument. You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument. For the source you use for the definition of the competencies list the competency or competencies you believe you will enhance in the probability and statistics course. You may not select all as being relevant to this course, you must think about, and make a choice about which competencies are core learning outcomes of this course and make an argument to support that.
2. How you will use the numerical data to support your argument. For the source you use for the definition of the competencies you will describe the way you will incorporate an understanding of the competency into your final document.
Element 3: Reference List (You may work with your assigned groups to complete the reference list.)
Work to Submit: Using the reference list items from above and any extra sources you plan to use, create an APA formatted reference list. You will have a minimum of 4 sources. It is important that your reference listings have the correct information, in the correct order, and that the items and list are formatted correctly. For the reference section, make sure the listings are alphabetized so they can be easily found. Use the APA formatting resources in your reading to help you with this. BEWARE: citation generators are often wrong; you can start with them BUT must revise any that are incorrect.
Element 4: Engaging Your Audience
For this section you will
1. Think about and describe a significant, shared aspirational goal or goals of young professionals entering the field. This goal will be something you can use to engage your readers as you start the document. In the example you will see for architecture students this is to design iconic buildings.
2. Develop a
thesis statement
Name: Herta Ayrton
Element 1: Use of Statistics in architecture
Source 1:
In-text citation
(Carbonnier, 2020)
Reference Listing for this source
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. HCM
Architects. https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
new-normal-2020-04-03/
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article defines zero net energy buildings and design strategies. It explains how
statistics are collected from IoT data sources and used in GIS to inform building form and
location decisions to maximize energy performance by evaluating sun, wind, and light. I will be
using Zero Net Energy buildings as an example of the use of statistics in the design phase of an
architectural design process.
Source 2:
In-text citation
(Gobes-Ryan, 2022)
Reference Listing for this source
Gobes-Ryan, S. (2022). The importance of probability and statistics in engineering and computer
science. https://usflearn.instructure.com/courses/1664254/pages/the-importance-of-
probability-and-statistics-in-engineering-and-computer-science
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article provides insight into how probability and statistics are used across many of the
disciplines in our college.
https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
Source 3:
In-text citation
(Goy, Maréchal, & Finn, 2020)
Reference Listing for this source
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modeling:
Assessing impacts and overcoming availability challenges. Energies (Basel), 13(16)
4244. doi: 10.3390/en13164244
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article addresses the use of data in building energy modeling and where there are gaps
in the data. This is the most essential source I have for understanding how data is used in
building energy modeling.
Element 2: Probability and Statistics Literacy will Enhance Your
Employability examples are not provided for this section; the questions are
straightforward
What statistical parameters are you able to determine in the data provided?
Given the type of data you are provided, and the question being asked is the mean or median the
most appropriate measure of location to use? Why?
Is a measure of spread important to the question being ask? Why or why not?
Is the data provided
Discrete OR Continuous
Numerical OR Categorical
Of the data provided, which important skill(s) will you hone within the math part of your
statistics course? How is this connected to having probability and statistics proficiency?
What two categories of data are provided in the data set?
How can each of these be used to support the case you will make in the IDL 1 Final?
Develop a table that is clear, easy to read and is organized to highlight the most important data to
your argument.
Element 3: Reference list
Hints: Reference lists in APA format are organized alphabetically by the first letter of the
reference item. This is done to make it easy for readers to find as the in-text citation starts with
the same words/names
Reference List
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. HCM
Architects. https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
new-normal-2020-04-03/
Gobes-Ryan, S. (2022). The importance of probability and statistics in engineering and computer
science. https://usflearn.instructure.com/courses/1664254/pages/the-importance-of-
probability-and-statistics-in-engineering-and-computer-science
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modelling:
Assessing impacts and overcoming availability challenges. Energies (Basel), 13(16)
4244. doi: 10.3390/en13164244
Element 4: Appealing to your audience
Describe the aspirational goal of a professional in your field
create iconic buildings
Develop a preliminary thesis statement for your document? (What is it about and
why does that matter?)
Probability and statistics proficiencies are essential skills for those who aim to create the high
performing architecture possible for our generation.
Sheila Gobes-Ryan 1
Probability and Statistics are the Foundation
for Building Your Architectural Career
Introduction
As future architects, we all dream of creating iconic buildings that result in professional recognition
and financial success. Increases in ‘big data’ and the technologies to analyze these data sets more
effectively make it possible to improve the quality of our designs in significant ways during the
design process. However, to integrate these big-data benefits into our design solutions, we need to
become proficient in probability and statistics while in school.
To illustrate this to you, I will describe how probability and statistics are used in architectural
design and show that this skill will help start your career when you graduate. First, I will discuss the
uses of probability and statistics for improving the outcomes of several phases of architectural
projects. Then I will talk to you about the importance of having the skill to complete data analysis
when starting your career.
The Use of Probability and Statistics in Architecture
Design Phase Use of Probability and Statistics
Architects use probability and statistics during different phases of projects to improve and evaluate
the effectiveness of their built projects. In the following sections, I will present the use of
probability and statistics in four project phases:
1. Architects use probability and statistics during site selection to analyze relevant data.
2. In pre-design, they analyze client needs and evaluate their client’s industry space use trends.
3. During design, they assess the layout and material options against existing performance data.
4. In post-occupancy, they evaluate the performance of the space against project goals,
comparable properties, and performance standards and requirements.
By integrating data-driven decisions into the design process, architects can be confident that they
will achieve the high client satisfaction needed for financial success.
Probability and Statistics in Site Selection
An organization’s selection of location impacts many aspects of business success. The decision
may be which city to locate in, what city section to move to, or what specific property to occupy.
However, for each decision, organizations must consider a wide range of business impacts that
location choices can have and if these will be positive or negative for their business. With statistical
and probabilistic analysis, architects can present the business impacts of many factors based on
current data and predicting how many factors are likely to develop in the future. These factors
include access to employees with the necessary skills, proximity to clients or customers, local cost
of living and expected wages, and commute time and transportation access for employees.
Sheila Gobes-Ryan 2
Architects can use these analyses to combine client data, publicly available data, and mobile device
data to make data-driven site selection decisions (Intalytic, 2021). With this, architects provide
their clients with better business outcomes.
Probability and Statistics in Pre-Design
Architects collect and evaluate data statistically during the pre-design stage to determine building
space needs (Vangelatos, 2018) currently and into the future. Input from client interviews and
surveys, company growth projections, and industry benchmarks are all integrated into space needs
and acquisition decisions. Client organizations will rely on the dependability of this work as they
sign leases that extend for years or sometimes decades.
Probability and Statistics in the Design Phase
During the design phase, architects make decisions on materials and building systems so that
projects meet current regulations for things such as energy and water use (Yaglewad, 2020).
Additionally, we are often required to go beyond this to meet standards like the LEEDS
Sustainable Buildings Certification and Zero Net Energy (Carbonnier, 2020). Our ability to run
virtual simulations that statistically evaluate and present a wide range of design, material, and
construction options is critical to our success in this phase. These simulations integrate physics and
statistics to provide sophisticated examinations of building performance of various design choices.
Findings from these simulations allow architects to make changes to improve building performance
before anything is built (Goy, Maréchal, and Finn, 2020).
Post Occupancy Evaluations with Probability and Statistics
After clients move into buildings, sensors connected to the internet can measure and evaluate
actual building performance (Davis, 2015). Owners can assess building performance against
building code requirements and targeted certification programs, such as LEED (Davis, 2015).
With the decrease in the cost of monitoring systems, building owners and occupants are using
these systems to collect and evaluate data on building use and building systems performance in
increasingly complex ways. Vendors of building systems components are creating sophisticated
data visualizations to present this data in easy-to-understand formats.
Clients are using these analyses to move toward performance-based contracts with architects.
These contracts hold back part of the design fees until clients evaluate the buildings resulting from
an architect’s design against required performance standards (Davis, 2015). To get the
compensation they are due, architects’ pre-design systems of evaluation must match the post-
occupancy performance of the resulting buildings. As a result, architects now have a significant
financial stake in the accuracy of the probability and statistical analyses they complete.
Sheila Gobes-Ryan 3
Probability and Statistics Literacy will Enhance Your Employability
You may be thinking that this is a skill set you can skip and allow others to bring to architectural
firms. However, recent data from the National Architectural Education Association (NAEA)
(2020) suggests you should think again about this.
Surveys completed across 2,456 participating architectural practices show that 93% of these firms
of all sizes use statistical data in multiple phases of their design work. For this reason, 85% of these
firms identified data literacy as a skill they consider significant for new employees. This skill
ranked higher in importance than traditional skills such as CAD proficiency. In follow-up
interviews with 200 firm leaders, 87% identified recent graduates’ data literacy as inadequate for the
work demands of entry-level positions. This deficiency did not align with the finding that 70% of
architecture school faculty believed they were preparing their students for the data literacy
demands of the profession. Most challenging was that only 17% of architecture students identified
data literacy as a necessary professional skill (NAEA, 2020).
This data suggest that architecture programs are not preparing students for the data literacy
demands of their profession. Conversely, this preparation deficit provides a distinct advantage for
architecture students who become data literate and familiar with the uses of data analysis in their
professional lives.
Conclusion
This document discusses the many phases of architectural design work in which probability and
statistics play a role. They are first used to evaluate different options for siting a project. Then to
document building needs into the future. During the following phase of work, architects run many
design choices through simulations that evaluate and present various design choices in building
performance. Finally, owners use probability and statistics to collect data and analyze building
performance outcomes. Clients are frequently connecting these outcomes to completing payment
of architectural contracts. For this reason, as with many fields, using and evaluating data in a wide
range of probability and statistics applications is a skill that employers have indicated is critical.
When we prepare to graduate, we now know this is a skill we must have to start on a path of
financial and professional success
References
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. Retrieved
from https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-new-
normal-2020-04-03/
Chilton, J. J. & Baldry, D. (1997). The effects of integrated workplace strategies on commercial
office space. Facilities, 15(7/8), 187-194. doi: 10.1108/02632779710168227
Davis, D. (2015, April 23). How big data is transforming architecture.: The phenomenon presents
hug opportunities for the built environment and the firms that design it. Architect.
Sheila Gobes-Ryan 4
Retrieved from https://www.architectmagazine.com/technology/how-big-data-is-
transforming-architecture_o
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modelling:
Assessing impacts and overcoming availability challenges. Energies 13. doi:
10.3390/en13164244
Intalytics, (2021). Precise recommendations back by sound science. Kalibrate Company.
https://intalytics.com/real-estate-solutions/
Vangelatos, G. (2018, October 12). How architects help increase patient satisfaction in healthcare
through building design.
Yaglewad, S. (2020, May 19). How is statistics used in architecture? What After College. Retrieved
from https://whataftercollege.com/data-science/statistics-used-in-
architecture/#:~:text=How%20is%20Statistics%20used%20in%20Architecture%3F&text=W
hen%20an%20architectural%20project%20is,use%20for%20the%20end%2Dusers.
https://www.architectmagazine.com/technology/how-big-data-is-transforming-architecture_o
https://www.architectmagazine.com/technology/how-big-data-is-transforming-architecture_o
- You may be thinking that this is a skill set you can skip and allow others to bring to architectural firms. However, recent data from the National Architectural Education Association (NAEA) (2020) suggests you should think again about this.
- Surveys completed across 2,456 participating architectural practices show that 93% of these firms of all sizes use statistical data in multiple phases of their design work. For this reason, 85% of these firms identified data literacy as a skill they c…
- This data suggest that architecture programs are not preparing students for the data literacy demands of their profession. Conversely, this preparation deficit provides a distinct advantage for architecture students who become data literate and famili…
Your Title Here
Introduction
Text of your Introduction here.
The Use of Probability and Statistics in [Your Field/Department]
Text of this section
Subtitles if Used
Text of this section
Probability and Statistics Literacy will Enhance Your Employability
Text of this section
Conclusion
Text of your Introduction here.
References
1
image1
Name:
Element 1: Use of Statistics in [Your field]
Source 1:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 2:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 3:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 4:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Element 2: Probability and Statistics Literacy will Enhance Your Employability
Source 1
In-text citation
Reference Listing for this source
What data from each document you will use to support your argument? You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument
How you will use the numerical data to support your argument.
Source 2
In-text citation
Reference Listing for this source
What data from each document you will use to support your argument? You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument
How you will use the numerical data to support your argument.
Element 3: Reference List (remember to alphabetize the reference list by the first name or word in the reference item.)
Element 4: Engaging your Audience
Something Aspirational to start your document
Thesis Statement
For final
Your document purpose is to persuade first year students in your field of the importance of probability and statistics to your field (department or program).
The tone of this document is to be professional, but accessible. Important considerations for a well written document include:
· Flow at the document, paragraph and sentence level.
· Using topic sentences in each section.
· Using section headers and sub-headers, as identified below and shown in the example document.
You may refer to the
professional and general writing
resources page for tools to help with your writing. You may also work with the
Writing Studio Links to an external site.
at the USF Library; this requires planning, as it is best to have an appointment to be assured of having someone to work with.
You will include the following sections:
·
A Document Title. Document titles must briefly and precisely indicate the topic of the document. Ideally, it is also something that will catch the readers’ attention.
·
Introduction. The
introduction Links to an external site.
must accomplish the following:
· Introduces the audience to the topic and its importance. Given the audience you are writing to, first-person is appropriate, as it is your experience as a more advanced student that makes you credible.
Consider as you finalize your introduction, that the USF students you are writing to are diverse in many ways, including in age, life/professional experience, and cultural background. You must speak to all of them, not just to the ones that are like you.
· Includes a
thesis statement
Links to an external site.
that makes the primary claim you will argue in this handout and what you will say about it.
· States how you will use the document to support your argument.
· Present this in a concise, clear paragraph that makes the reader want to read your handout.
After you complete the body of your document, review your introduction to make sure it accurately states what you accomplished with the document. Revise the document as needed to make sure the introduction and the document body work together.
·
The Use of Statistics in [Your Field]. Using the information that you found in the preliminary phase of this assignment, develop this section. This section will start with an introductory paragraph giving students an overview of the different work aspects you will address. This is followed by 3 subsections (with sub-titles) describing the specific aspects of work for which statistics are used and then discussing specifically how probability or statistics enables the work to be accomplished. This section must have in-text citations to demonstrate you have researched the topic using credible sources.
·
Probability and Statistics Literacy will Enhance Your Employability. Develop a written argument using the data provided to indicate how proficiency in probability and statistics will help to develop competency/competencies employers find look for when hiring recent college graduates. Select only the competency or competencies that are core learning outcomes to this course, (you may not use all of the competencies the webpages identify). Additionally you must incorporate numerical data from both web pages into the argument.
·
Conclusion. The conclusion is a summary of your ENTIRE document. It summarizes what you have done to support you thesis, and includes a reworded restatement of your thesis. It ends with a reminder to the readers of the importance of all of this for their professional future.
·
Reference List. The document will end with an
APA formatted reference list Links to an external site.
Links to an external site.
with a minimum of four (4) references. Each source on the reference list must have at least one
APA formatted in-text citation Links to an external site.
in your document. Citations are required any place in your document where you have used the ideas, data, or images of others.
Word Count: 1000 – 1400 words (not including the reference list.) This is a guide and is most important at the lower end; if your document is shorter than 1000 words, it is likely that it is lacking the detail needed.
For preliminary
Element 1: The Use of Statistics In [Your Field] * –
You may work with other students in your major on selecting uses, finding sources, and completing APA in-text citations and your reference list for this part of the assignment. However, writing your document MUST be completed individually.
Review the
Probability and Statistics in Engineering and Computer Science
Download Probability and Statistics in Engineering and Computer Science
article and resources to develop an understanding of the ways in which your field/major*** uses probability and statistics in the work done. Select 3 applications or tasks that are relevant to your field to research in more detail. To write this well you will need at least one source that helps you identify tasks that are accomplished using probability and statistics in your field, sources to help you describe the tasks, and sources to help you describe how probability and/or statistics are used to enable accomplishing the task. These sources should provide you with information that will allow you to develop 3 clearly presented examples of how probability and statistics are used in your field.
· You must use** a minimum of 4 cited sources for this section. However, you must also have sources to support what you say, which may require you to use additional sources.
*The Use of brackets indicates that you will replace the brackets and the words inside with ones that are appropriate to you and your work.
**Using a source means that you are synthesizing the ideas from the work of another into the original ideas you are putting forward in your work. You will have at least one in-text citation and reference list item using APA formatting for each source. Adding sources to the reference list without an in-text citation will result in no credit for that source.
***This section of the assignment has one required source. A minimum of three sources are required for this section which may come from the resources list or other CREDIBLE sources. Wikipedia may not be used as a source BUT its reference lists may be checked for credible sources.
****USF College of Engineering Majors are departments or major topic areas in departments, they include: Biomedical engineering, chemical engineering, civil engineering, structural engineering, environmental engineering, transportation engineering, computer science, computer engineering, cybersecurity, electrical engineering, industrial engineering, and mechanical engineering
Work to Submit. Complete all of the required information for each source you will use.
Element 2: Probability and Statistics Literacy will Enhance Your Employability.
For this section of your document you will read, interpret, and use descriptive statistics to make an argument that proficiency with probability and statistics will help students get a job when they graduate using the sources provided, these are:
The Four Career Competencies Employers Value Most
Links to an external site.
by NACE Staff
Are College Graduates “Career Ready”?
Links to an external site.
by NACE Staff
You must incorporate data from both sources, meaning you will have at least two points to make with the data as part of this section.
Work to Submit: For this part of the assignment, you will complete the following for each source you use, including the four provided.
· An APA formatted reference list item
· An in-text citation formatted in APA format
· For each source, a brief explanation of
1. What data from each document you will use to support your argument. You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument. For the source you use for the definition of the competencies list the competency or competencies you believe you will enhance in the probability and statistics course. You may not select all as being relevant to this course, you must think about, and make a choice about which competencies are core learning outcomes of this course and make an argument to support that.
2. How you will use the numerical data to support your argument. For the source you use for the definition of the competencies you will describe the way you will incorporate an understanding of the competency into your final document.
Element 3: Reference List (You may work with your assigned groups to complete the reference list.)
Work to Submit: Using the reference list items from above and any extra sources you plan to use, create an APA formatted reference list. You will have a minimum of 4 sources. It is important that your reference listings have the correct information, in the correct order, and that the items and list are formatted correctly. For the reference section, make sure the listings are alphabetized so they can be easily found. Use the APA formatting resources in your reading to help you with this. BEWARE: citation generators are often wrong; you can start with them BUT must revise any that are incorrect.
Element 4: Engaging Your Audience
For this section you will
1. Think about and describe a significant, shared aspirational goal or goals of young professionals entering the field. This goal will be something you can use to engage your readers as you start the document. In the example you will see for architecture students this is to design iconic buildings.
2. Develop a
thesis statement
Name: Herta Ayrton
Element 1: Use of Statistics in architecture
Source 1:
In-text citation
(Carbonnier, 2020)
Reference Listing for this source
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. HCM
Architects. https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
new-normal-2020-04-03/
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article defines zero net energy buildings and design strategies. It explains how
statistics are collected from IoT data sources and used in GIS to inform building form and
location decisions to maximize energy performance by evaluating sun, wind, and light. I will be
using Zero Net Energy buildings as an example of the use of statistics in the design phase of an
architectural design process.
Source 2:
In-text citation
(Gobes-Ryan, 2022)
Reference Listing for this source
Gobes-Ryan, S. (2022). The importance of probability and statistics in engineering and computer
science. https://usflearn.instructure.com/courses/1664254/pages/the-importance-of-
probability-and-statistics-in-engineering-and-computer-science
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article provides insight into how probability and statistics are used across many of the
disciplines in our college.
https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
Source 3:
In-text citation
(Goy, Maréchal, & Finn, 2020)
Reference Listing for this source
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modeling:
Assessing impacts and overcoming availability challenges. Energies (Basel), 13(16)
4244. doi: 10.3390/en13164244
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article addresses the use of data in building energy modeling and where there are gaps
in the data. This is the most essential source I have for understanding how data is used in
building energy modeling.
Element 2: Probability and Statistics Literacy will Enhance Your
Employability examples are not provided for this section; the questions are
straightforward
What statistical parameters are you able to determine in the data provided?
Given the type of data you are provided, and the question being asked is the mean or median the
most appropriate measure of location to use? Why?
Is a measure of spread important to the question being ask? Why or why not?
Is the data provided
Discrete OR Continuous
Numerical OR Categorical
Of the data provided, which important skill(s) will you hone within the math part of your
statistics course? How is this connected to having probability and statistics proficiency?
What two categories of data are provided in the data set?
How can each of these be used to support the case you will make in the IDL 1 Final?
Develop a table that is clear, easy to read and is organized to highlight the most important data to
your argument.
Element 3: Reference list
Hints: Reference lists in APA format are organized alphabetically by the first letter of the
reference item. This is done to make it easy for readers to find as the in-text citation starts with
the same words/names
Reference List
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. HCM
Architects. https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
new-normal-2020-04-03/
Gobes-Ryan, S. (2022). The importance of probability and statistics in engineering and computer
science. https://usflearn.instructure.com/courses/1664254/pages/the-importance-of-
probability-and-statistics-in-engineering-and-computer-science
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modelling:
Assessing impacts and overcoming availability challenges. Energies (Basel), 13(16)
4244. doi: 10.3390/en13164244
Element 4: Appealing to your audience
Describe the aspirational goal of a professional in your field
create iconic buildings
Develop a preliminary thesis statement for your document? (What is it about and
why does that matter?)
Probability and statistics proficiencies are essential skills for those who aim to create the high
performing architecture possible for our generation.
Sheila Gobes-Ryan 1
Probability and Statistics are the Foundation
for Building Your Architectural Career
Introduction
As future architects, we all dream of creating iconic buildings that result in professional recognition
and financial success. Increases in ‘big data’ and the technologies to analyze these data sets more
effectively make it possible to improve the quality of our designs in significant ways during the
design process. However, to integrate these big-data benefits into our design solutions, we need to
become proficient in probability and statistics while in school.
To illustrate this to you, I will describe how probability and statistics are used in architectural
design and show that this skill will help start your career when you graduate. First, I will discuss the
uses of probability and statistics for improving the outcomes of several phases of architectural
projects. Then I will talk to you about the importance of having the skill to complete data analysis
when starting your career.
The Use of Probability and Statistics in Architecture
Design Phase Use of Probability and Statistics
Architects use probability and statistics during different phases of projects to improve and evaluate
the effectiveness of their built projects. In the following sections, I will present the use of
probability and statistics in four project phases:
1. Architects use probability and statistics during site selection to analyze relevant data.
2. In pre-design, they analyze client needs and evaluate their client’s industry space use trends.
3. During design, they assess the layout and material options against existing performance data.
4. In post-occupancy, they evaluate the performance of the space against project goals,
comparable properties, and performance standards and requirements.
By integrating data-driven decisions into the design process, architects can be confident that they
will achieve the high client satisfaction needed for financial success.
Probability and Statistics in Site Selection
An organization’s selection of location impacts many aspects of business success. The decision
may be which city to locate in, what city section to move to, or what specific property to occupy.
However, for each decision, organizations must consider a wide range of business impacts that
location choices can have and if these will be positive or negative for their business. With statistical
and probabilistic analysis, architects can present the business impacts of many factors based on
current data and predicting how many factors are likely to develop in the future. These factors
include access to employees with the necessary skills, proximity to clients or customers, local cost
of living and expected wages, and commute time and transportation access for employees.
Sheila Gobes-Ryan 2
Architects can use these analyses to combine client data, publicly available data, and mobile device
data to make data-driven site selection decisions (Intalytic, 2021). With this, architects provide
their clients with better business outcomes.
Probability and Statistics in Pre-Design
Architects collect and evaluate data statistically during the pre-design stage to determine building
space needs (Vangelatos, 2018) currently and into the future. Input from client interviews and
surveys, company growth projections, and industry benchmarks are all integrated into space needs
and acquisition decisions. Client organizations will rely on the dependability of this work as they
sign leases that extend for years or sometimes decades.
Probability and Statistics in the Design Phase
During the design phase, architects make decisions on materials and building systems so that
projects meet current regulations for things such as energy and water use (Yaglewad, 2020).
Additionally, we are often required to go beyond this to meet standards like the LEEDS
Sustainable Buildings Certification and Zero Net Energy (Carbonnier, 2020). Our ability to run
virtual simulations that statistically evaluate and present a wide range of design, material, and
construction options is critical to our success in this phase. These simulations integrate physics and
statistics to provide sophisticated examinations of building performance of various design choices.
Findings from these simulations allow architects to make changes to improve building performance
before anything is built (Goy, Maréchal, and Finn, 2020).
Post Occupancy Evaluations with Probability and Statistics
After clients move into buildings, sensors connected to the internet can measure and evaluate
actual building performance (Davis, 2015). Owners can assess building performance against
building code requirements and targeted certification programs, such as LEED (Davis, 2015).
With the decrease in the cost of monitoring systems, building owners and occupants are using
these systems to collect and evaluate data on building use and building systems performance in
increasingly complex ways. Vendors of building systems components are creating sophisticated
data visualizations to present this data in easy-to-understand formats.
Clients are using these analyses to move toward performance-based contracts with architects.
These contracts hold back part of the design fees until clients evaluate the buildings resulting from
an architect’s design against required performance standards (Davis, 2015). To get the
compensation they are due, architects’ pre-design systems of evaluation must match the post-
occupancy performance of the resulting buildings. As a result, architects now have a significant
financial stake in the accuracy of the probability and statistical analyses they complete.
Sheila Gobes-Ryan 3
Probability and Statistics Literacy will Enhance Your Employability
You may be thinking that this is a skill set you can skip and allow others to bring to architectural
firms. However, recent data from the National Architectural Education Association (NAEA)
(2020) suggests you should think again about this.
Surveys completed across 2,456 participating architectural practices show that 93% of these firms
of all sizes use statistical data in multiple phases of their design work. For this reason, 85% of these
firms identified data literacy as a skill they consider significant for new employees. This skill
ranked higher in importance than traditional skills such as CAD proficiency. In follow-up
interviews with 200 firm leaders, 87% identified recent graduates’ data literacy as inadequate for the
work demands of entry-level positions. This deficiency did not align with the finding that 70% of
architecture school faculty believed they were preparing their students for the data literacy
demands of the profession. Most challenging was that only 17% of architecture students identified
data literacy as a necessary professional skill (NAEA, 2020).
This data suggest that architecture programs are not preparing students for the data literacy
demands of their profession. Conversely, this preparation deficit provides a distinct advantage for
architecture students who become data literate and familiar with the uses of data analysis in their
professional lives.
Conclusion
This document discusses the many phases of architectural design work in which probability and
statistics play a role. They are first used to evaluate different options for siting a project. Then to
document building needs into the future. During the following phase of work, architects run many
design choices through simulations that evaluate and present various design choices in building
performance. Finally, owners use probability and statistics to collect data and analyze building
performance outcomes. Clients are frequently connecting these outcomes to completing payment
of architectural contracts. For this reason, as with many fields, using and evaluating data in a wide
range of probability and statistics applications is a skill that employers have indicated is critical.
When we prepare to graduate, we now know this is a skill we must have to start on a path of
financial and professional success
References
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. Retrieved
from https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-new-
normal-2020-04-03/
Chilton, J. J. & Baldry, D. (1997). The effects of integrated workplace strategies on commercial
office space. Facilities, 15(7/8), 187-194. doi: 10.1108/02632779710168227
Davis, D. (2015, April 23). How big data is transforming architecture.: The phenomenon presents
hug opportunities for the built environment and the firms that design it. Architect.
Sheila Gobes-Ryan 4
Retrieved from https://www.architectmagazine.com/technology/how-big-data-is-
transforming-architecture_o
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modelling:
Assessing impacts and overcoming availability challenges. Energies 13. doi:
10.3390/en13164244
Intalytics, (2021). Precise recommendations back by sound science. Kalibrate Company.
https://intalytics.com/real-estate-solutions/
Vangelatos, G. (2018, October 12). How architects help increase patient satisfaction in healthcare
through building design.
Yaglewad, S. (2020, May 19). How is statistics used in architecture? What After College. Retrieved
from https://whataftercollege.com/data-science/statistics-used-in-
architecture/#:~:text=How%20is%20Statistics%20used%20in%20Architecture%3F&text=W
hen%20an%20architectural%20project%20is,use%20for%20the%20end%2Dusers.
https://www.architectmagazine.com/technology/how-big-data-is-transforming-architecture_o
https://www.architectmagazine.com/technology/how-big-data-is-transforming-architecture_o
- You may be thinking that this is a skill set you can skip and allow others to bring to architectural firms. However, recent data from the National Architectural Education Association (NAEA) (2020) suggests you should think again about this.
- Surveys completed across 2,456 participating architectural practices show that 93% of these firms of all sizes use statistical data in multiple phases of their design work. For this reason, 85% of these firms identified data literacy as a skill they c…
- This data suggest that architecture programs are not preparing students for the data literacy demands of their profession. Conversely, this preparation deficit provides a distinct advantage for architecture students who become data literate and famili…
Your Title Here
Introduction
Text of your Introduction here.
The Use of Probability and Statistics in [Your Field/Department]
Text of this section
Subtitles if Used
Text of this section
Probability and Statistics Literacy will Enhance Your Employability
Text of this section
Conclusion
Text of your Introduction here.
References
1
image1
Name:
Element 1: Use of Statistics in [Your field]
Source 1:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 2:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 3:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 4:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Element 2: Probability and Statistics Literacy will Enhance Your Employability
Source 1
In-text citation
Reference Listing for this source
What data from each document you will use to support your argument? You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument
How you will use the numerical data to support your argument.
Source 2
In-text citation
Reference Listing for this source
What data from each document you will use to support your argument? You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument
How you will use the numerical data to support your argument.
Element 3: Reference List (remember to alphabetize the reference list by the first name or word in the reference item.)
Element 4: Engaging your Audience
Something Aspirational to start your document
Thesis Statement
For final
Your document purpose is to persuade first year students in your field of the importance of probability and statistics to your field (department or program).
The tone of this document is to be professional, but accessible. Important considerations for a well written document include:
· Flow at the document, paragraph and sentence level.
· Using topic sentences in each section.
· Using section headers and sub-headers, as identified below and shown in the example document.
You may refer to the
professional and general writing
resources page for tools to help with your writing. You may also work with the
Writing Studio Links to an external site.
at the USF Library; this requires planning, as it is best to have an appointment to be assured of having someone to work with.
You will include the following sections:
·
A Document Title. Document titles must briefly and precisely indicate the topic of the document. Ideally, it is also something that will catch the readers’ attention.
·
Introduction. The
introduction Links to an external site.
must accomplish the following:
· Introduces the audience to the topic and its importance. Given the audience you are writing to, first-person is appropriate, as it is your experience as a more advanced student that makes you credible.
Consider as you finalize your introduction, that the USF students you are writing to are diverse in many ways, including in age, life/professional experience, and cultural background. You must speak to all of them, not just to the ones that are like you.
· Includes a
thesis statement
Links to an external site.
that makes the primary claim you will argue in this handout and what you will say about it.
· States how you will use the document to support your argument.
· Present this in a concise, clear paragraph that makes the reader want to read your handout.
After you complete the body of your document, review your introduction to make sure it accurately states what you accomplished with the document. Revise the document as needed to make sure the introduction and the document body work together.
·
The Use of Statistics in [Your Field]. Using the information that you found in the preliminary phase of this assignment, develop this section. This section will start with an introductory paragraph giving students an overview of the different work aspects you will address. This is followed by 3 subsections (with sub-titles) describing the specific aspects of work for which statistics are used and then discussing specifically how probability or statistics enables the work to be accomplished. This section must have in-text citations to demonstrate you have researched the topic using credible sources.
·
Probability and Statistics Literacy will Enhance Your Employability. Develop a written argument using the data provided to indicate how proficiency in probability and statistics will help to develop competency/competencies employers find look for when hiring recent college graduates. Select only the competency or competencies that are core learning outcomes to this course, (you may not use all of the competencies the webpages identify). Additionally you must incorporate numerical data from both web pages into the argument.
·
Conclusion. The conclusion is a summary of your ENTIRE document. It summarizes what you have done to support you thesis, and includes a reworded restatement of your thesis. It ends with a reminder to the readers of the importance of all of this for their professional future.
·
Reference List. The document will end with an
APA formatted reference list Links to an external site.
Links to an external site.
with a minimum of four (4) references. Each source on the reference list must have at least one
APA formatted in-text citation Links to an external site.
in your document. Citations are required any place in your document where you have used the ideas, data, or images of others.
Word Count: 1000 – 1400 words (not including the reference list.) This is a guide and is most important at the lower end; if your document is shorter than 1000 words, it is likely that it is lacking the detail needed.
For preliminary
Element 1: The Use of Statistics In [Your Field] * –
You may work with other students in your major on selecting uses, finding sources, and completing APA in-text citations and your reference list for this part of the assignment. However, writing your document MUST be completed individually.
Review the
Probability and Statistics in Engineering and Computer Science
Download Probability and Statistics in Engineering and Computer Science
article and resources to develop an understanding of the ways in which your field/major*** uses probability and statistics in the work done. Select 3 applications or tasks that are relevant to your field to research in more detail. To write this well you will need at least one source that helps you identify tasks that are accomplished using probability and statistics in your field, sources to help you describe the tasks, and sources to help you describe how probability and/or statistics are used to enable accomplishing the task. These sources should provide you with information that will allow you to develop 3 clearly presented examples of how probability and statistics are used in your field.
· You must use** a minimum of 4 cited sources for this section. However, you must also have sources to support what you say, which may require you to use additional sources.
*The Use of brackets indicates that you will replace the brackets and the words inside with ones that are appropriate to you and your work.
**Using a source means that you are synthesizing the ideas from the work of another into the original ideas you are putting forward in your work. You will have at least one in-text citation and reference list item using APA formatting for each source. Adding sources to the reference list without an in-text citation will result in no credit for that source.
***This section of the assignment has one required source. A minimum of three sources are required for this section which may come from the resources list or other CREDIBLE sources. Wikipedia may not be used as a source BUT its reference lists may be checked for credible sources.
****USF College of Engineering Majors are departments or major topic areas in departments, they include: Biomedical engineering, chemical engineering, civil engineering, structural engineering, environmental engineering, transportation engineering, computer science, computer engineering, cybersecurity, electrical engineering, industrial engineering, and mechanical engineering
Work to Submit. Complete all of the required information for each source you will use.
Element 2: Probability and Statistics Literacy will Enhance Your Employability.
For this section of your document you will read, interpret, and use descriptive statistics to make an argument that proficiency with probability and statistics will help students get a job when they graduate using the sources provided, these are:
The Four Career Competencies Employers Value Most
Links to an external site.
by NACE Staff
Are College Graduates “Career Ready”?
Links to an external site.
by NACE Staff
You must incorporate data from both sources, meaning you will have at least two points to make with the data as part of this section.
Work to Submit: For this part of the assignment, you will complete the following for each source you use, including the four provided.
· An APA formatted reference list item
· An in-text citation formatted in APA format
· For each source, a brief explanation of
1. What data from each document you will use to support your argument. You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument. For the source you use for the definition of the competencies list the competency or competencies you believe you will enhance in the probability and statistics course. You may not select all as being relevant to this course, you must think about, and make a choice about which competencies are core learning outcomes of this course and make an argument to support that.
2. How you will use the numerical data to support your argument. For the source you use for the definition of the competencies you will describe the way you will incorporate an understanding of the competency into your final document.
Element 3: Reference List (You may work with your assigned groups to complete the reference list.)
Work to Submit: Using the reference list items from above and any extra sources you plan to use, create an APA formatted reference list. You will have a minimum of 4 sources. It is important that your reference listings have the correct information, in the correct order, and that the items and list are formatted correctly. For the reference section, make sure the listings are alphabetized so they can be easily found. Use the APA formatting resources in your reading to help you with this. BEWARE: citation generators are often wrong; you can start with them BUT must revise any that are incorrect.
Element 4: Engaging Your Audience
For this section you will
1. Think about and describe a significant, shared aspirational goal or goals of young professionals entering the field. This goal will be something you can use to engage your readers as you start the document. In the example you will see for architecture students this is to design iconic buildings.
2. Develop a
thesis statement
Name: Herta Ayrton
Element 1: Use of Statistics in architecture
Source 1:
In-text citation
(Carbonnier, 2020)
Reference Listing for this source
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. HCM
Architects. https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
new-normal-2020-04-03/
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article defines zero net energy buildings and design strategies. It explains how
statistics are collected from IoT data sources and used in GIS to inform building form and
location decisions to maximize energy performance by evaluating sun, wind, and light. I will be
using Zero Net Energy buildings as an example of the use of statistics in the design phase of an
architectural design process.
Source 2:
In-text citation
(Gobes-Ryan, 2022)
Reference Listing for this source
Gobes-Ryan, S. (2022). The importance of probability and statistics in engineering and computer
science. https://usflearn.instructure.com/courses/1664254/pages/the-importance-of-
probability-and-statistics-in-engineering-and-computer-science
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article provides insight into how probability and statistics are used across many of the
disciplines in our college.
https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
Source 3:
In-text citation
(Goy, Maréchal, & Finn, 2020)
Reference Listing for this source
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modeling:
Assessing impacts and overcoming availability challenges. Energies (Basel), 13(16)
4244. doi: 10.3390/en13164244
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article addresses the use of data in building energy modeling and where there are gaps
in the data. This is the most essential source I have for understanding how data is used in
building energy modeling.
Element 2: Probability and Statistics Literacy will Enhance Your
Employability examples are not provided for this section; the questions are
straightforward
What statistical parameters are you able to determine in the data provided?
Given the type of data you are provided, and the question being asked is the mean or median the
most appropriate measure of location to use? Why?
Is a measure of spread important to the question being ask? Why or why not?
Is the data provided
Discrete OR Continuous
Numerical OR Categorical
Of the data provided, which important skill(s) will you hone within the math part of your
statistics course? How is this connected to having probability and statistics proficiency?
What two categories of data are provided in the data set?
How can each of these be used to support the case you will make in the IDL 1 Final?
Develop a table that is clear, easy to read and is organized to highlight the most important data to
your argument.
Element 3: Reference list
Hints: Reference lists in APA format are organized alphabetically by the first letter of the
reference item. This is done to make it easy for readers to find as the in-text citation starts with
the same words/names
Reference List
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. HCM
Architects. https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
new-normal-2020-04-03/
Gobes-Ryan, S. (2022). The importance of probability and statistics in engineering and computer
science. https://usflearn.instructure.com/courses/1664254/pages/the-importance-of-
probability-and-statistics-in-engineering-and-computer-science
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modelling:
Assessing impacts and overcoming availability challenges. Energies (Basel), 13(16)
4244. doi: 10.3390/en13164244
Element 4: Appealing to your audience
Describe the aspirational goal of a professional in your field
create iconic buildings
Develop a preliminary thesis statement for your document? (What is it about and
why does that matter?)
Probability and statistics proficiencies are essential skills for those who aim to create the high
performing architecture possible for our generation.
Sheila Gobes-Ryan 1
Probability and Statistics are the Foundation
for Building Your Architectural Career
Introduction
As future architects, we all dream of creating iconic buildings that result in professional recognition
and financial success. Increases in ‘big data’ and the technologies to analyze these data sets more
effectively make it possible to improve the quality of our designs in significant ways during the
design process. However, to integrate these big-data benefits into our design solutions, we need to
become proficient in probability and statistics while in school.
To illustrate this to you, I will describe how probability and statistics are used in architectural
design and show that this skill will help start your career when you graduate. First, I will discuss the
uses of probability and statistics for improving the outcomes of several phases of architectural
projects. Then I will talk to you about the importance of having the skill to complete data analysis
when starting your career.
The Use of Probability and Statistics in Architecture
Design Phase Use of Probability and Statistics
Architects use probability and statistics during different phases of projects to improve and evaluate
the effectiveness of their built projects. In the following sections, I will present the use of
probability and statistics in four project phases:
1. Architects use probability and statistics during site selection to analyze relevant data.
2. In pre-design, they analyze client needs and evaluate their client’s industry space use trends.
3. During design, they assess the layout and material options against existing performance data.
4. In post-occupancy, they evaluate the performance of the space against project goals,
comparable properties, and performance standards and requirements.
By integrating data-driven decisions into the design process, architects can be confident that they
will achieve the high client satisfaction needed for financial success.
Probability and Statistics in Site Selection
An organization’s selection of location impacts many aspects of business success. The decision
may be which city to locate in, what city section to move to, or what specific property to occupy.
However, for each decision, organizations must consider a wide range of business impacts that
location choices can have and if these will be positive or negative for their business. With statistical
and probabilistic analysis, architects can present the business impacts of many factors based on
current data and predicting how many factors are likely to develop in the future. These factors
include access to employees with the necessary skills, proximity to clients or customers, local cost
of living and expected wages, and commute time and transportation access for employees.
Sheila Gobes-Ryan 2
Architects can use these analyses to combine client data, publicly available data, and mobile device
data to make data-driven site selection decisions (Intalytic, 2021). With this, architects provide
their clients with better business outcomes.
Probability and Statistics in Pre-Design
Architects collect and evaluate data statistically during the pre-design stage to determine building
space needs (Vangelatos, 2018) currently and into the future. Input from client interviews and
surveys, company growth projections, and industry benchmarks are all integrated into space needs
and acquisition decisions. Client organizations will rely on the dependability of this work as they
sign leases that extend for years or sometimes decades.
Probability and Statistics in the Design Phase
During the design phase, architects make decisions on materials and building systems so that
projects meet current regulations for things such as energy and water use (Yaglewad, 2020).
Additionally, we are often required to go beyond this to meet standards like the LEEDS
Sustainable Buildings Certification and Zero Net Energy (Carbonnier, 2020). Our ability to run
virtual simulations that statistically evaluate and present a wide range of design, material, and
construction options is critical to our success in this phase. These simulations integrate physics and
statistics to provide sophisticated examinations of building performance of various design choices.
Findings from these simulations allow architects to make changes to improve building performance
before anything is built (Goy, Maréchal, and Finn, 2020).
Post Occupancy Evaluations with Probability and Statistics
After clients move into buildings, sensors connected to the internet can measure and evaluate
actual building performance (Davis, 2015). Owners can assess building performance against
building code requirements and targeted certification programs, such as LEED (Davis, 2015).
With the decrease in the cost of monitoring systems, building owners and occupants are using
these systems to collect and evaluate data on building use and building systems performance in
increasingly complex ways. Vendors of building systems components are creating sophisticated
data visualizations to present this data in easy-to-understand formats.
Clients are using these analyses to move toward performance-based contracts with architects.
These contracts hold back part of the design fees until clients evaluate the buildings resulting from
an architect’s design against required performance standards (Davis, 2015). To get the
compensation they are due, architects’ pre-design systems of evaluation must match the post-
occupancy performance of the resulting buildings. As a result, architects now have a significant
financial stake in the accuracy of the probability and statistical analyses they complete.
Sheila Gobes-Ryan 3
Probability and Statistics Literacy will Enhance Your Employability
You may be thinking that this is a skill set you can skip and allow others to bring to architectural
firms. However, recent data from the National Architectural Education Association (NAEA)
(2020) suggests you should think again about this.
Surveys completed across 2,456 participating architectural practices show that 93% of these firms
of all sizes use statistical data in multiple phases of their design work. For this reason, 85% of these
firms identified data literacy as a skill they consider significant for new employees. This skill
ranked higher in importance than traditional skills such as CAD proficiency. In follow-up
interviews with 200 firm leaders, 87% identified recent graduates’ data literacy as inadequate for the
work demands of entry-level positions. This deficiency did not align with the finding that 70% of
architecture school faculty believed they were preparing their students for the data literacy
demands of the profession. Most challenging was that only 17% of architecture students identified
data literacy as a necessary professional skill (NAEA, 2020).
This data suggest that architecture programs are not preparing students for the data literacy
demands of their profession. Conversely, this preparation deficit provides a distinct advantage for
architecture students who become data literate and familiar with the uses of data analysis in their
professional lives.
Conclusion
This document discusses the many phases of architectural design work in which probability and
statistics play a role. They are first used to evaluate different options for siting a project. Then to
document building needs into the future. During the following phase of work, architects run many
design choices through simulations that evaluate and present various design choices in building
performance. Finally, owners use probability and statistics to collect data and analyze building
performance outcomes. Clients are frequently connecting these outcomes to completing payment
of architectural contracts. For this reason, as with many fields, using and evaluating data in a wide
range of probability and statistics applications is a skill that employers have indicated is critical.
When we prepare to graduate, we now know this is a skill we must have to start on a path of
financial and professional success
References
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. Retrieved
from https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-new-
normal-2020-04-03/
Chilton, J. J. & Baldry, D. (1997). The effects of integrated workplace strategies on commercial
office space. Facilities, 15(7/8), 187-194. doi: 10.1108/02632779710168227
Davis, D. (2015, April 23). How big data is transforming architecture.: The phenomenon presents
hug opportunities for the built environment and the firms that design it. Architect.
Sheila Gobes-Ryan 4
Retrieved from https://www.architectmagazine.com/technology/how-big-data-is-
transforming-architecture_o
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modelling:
Assessing impacts and overcoming availability challenges. Energies 13. doi:
10.3390/en13164244
Intalytics, (2021). Precise recommendations back by sound science. Kalibrate Company.
https://intalytics.com/real-estate-solutions/
Vangelatos, G. (2018, October 12). How architects help increase patient satisfaction in healthcare
through building design.
Yaglewad, S. (2020, May 19). How is statistics used in architecture? What After College. Retrieved
from https://whataftercollege.com/data-science/statistics-used-in-
architecture/#:~:text=How%20is%20Statistics%20used%20in%20Architecture%3F&text=W
hen%20an%20architectural%20project%20is,use%20for%20the%20end%2Dusers.
https://www.architectmagazine.com/technology/how-big-data-is-transforming-architecture_o
https://www.architectmagazine.com/technology/how-big-data-is-transforming-architecture_o
- You may be thinking that this is a skill set you can skip and allow others to bring to architectural firms. However, recent data from the National Architectural Education Association (NAEA) (2020) suggests you should think again about this.
- Surveys completed across 2,456 participating architectural practices show that 93% of these firms of all sizes use statistical data in multiple phases of their design work. For this reason, 85% of these firms identified data literacy as a skill they c…
- This data suggest that architecture programs are not preparing students for the data literacy demands of their profession. Conversely, this preparation deficit provides a distinct advantage for architecture students who become data literate and famili…
Your Title Here
Introduction
Text of your Introduction here.
The Use of Probability and Statistics in [Your Field/Department]
Text of this section
Subtitles if Used
Text of this section
Probability and Statistics Literacy will Enhance Your Employability
Text of this section
Conclusion
Text of your Introduction here.
References
1
image1
Name:
Element 1: Use of Statistics in [Your field]
Source 1:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 2:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 3:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 4:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Element 2: Probability and Statistics Literacy will Enhance Your Employability
Source 1
In-text citation
Reference Listing for this source
What data from each document you will use to support your argument? You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument
How you will use the numerical data to support your argument.
Source 2
In-text citation
Reference Listing for this source
What data from each document you will use to support your argument? You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument
How you will use the numerical data to support your argument.
Element 3: Reference List (remember to alphabetize the reference list by the first name or word in the reference item.)
Element 4: Engaging your Audience
Something Aspirational to start your document
Thesis Statement
For final
Your document purpose is to persuade first year students in your field of the importance of probability and statistics to your field (department or program).
The tone of this document is to be professional, but accessible. Important considerations for a well written document include:
· Flow at the document, paragraph and sentence level.
· Using topic sentences in each section.
· Using section headers and sub-headers, as identified below and shown in the example document.
You may refer to the
professional and general writing
resources page for tools to help with your writing. You may also work with the
Writing Studio Links to an external site.
at the USF Library; this requires planning, as it is best to have an appointment to be assured of having someone to work with.
You will include the following sections:
·
A Document Title. Document titles must briefly and precisely indicate the topic of the document. Ideally, it is also something that will catch the readers’ attention.
·
Introduction. The
introduction Links to an external site.
must accomplish the following:
· Introduces the audience to the topic and its importance. Given the audience you are writing to, first-person is appropriate, as it is your experience as a more advanced student that makes you credible.
Consider as you finalize your introduction, that the USF students you are writing to are diverse in many ways, including in age, life/professional experience, and cultural background. You must speak to all of them, not just to the ones that are like you.
· Includes a
thesis statement
Links to an external site.
that makes the primary claim you will argue in this handout and what you will say about it.
· States how you will use the document to support your argument.
· Present this in a concise, clear paragraph that makes the reader want to read your handout.
After you complete the body of your document, review your introduction to make sure it accurately states what you accomplished with the document. Revise the document as needed to make sure the introduction and the document body work together.
·
The Use of Statistics in [Your Field]. Using the information that you found in the preliminary phase of this assignment, develop this section. This section will start with an introductory paragraph giving students an overview of the different work aspects you will address. This is followed by 3 subsections (with sub-titles) describing the specific aspects of work for which statistics are used and then discussing specifically how probability or statistics enables the work to be accomplished. This section must have in-text citations to demonstrate you have researched the topic using credible sources.
·
Probability and Statistics Literacy will Enhance Your Employability. Develop a written argument using the data provided to indicate how proficiency in probability and statistics will help to develop competency/competencies employers find look for when hiring recent college graduates. Select only the competency or competencies that are core learning outcomes to this course, (you may not use all of the competencies the webpages identify). Additionally you must incorporate numerical data from both web pages into the argument.
·
Conclusion. The conclusion is a summary of your ENTIRE document. It summarizes what you have done to support you thesis, and includes a reworded restatement of your thesis. It ends with a reminder to the readers of the importance of all of this for their professional future.
·
Reference List. The document will end with an
APA formatted reference list Links to an external site.
Links to an external site.
with a minimum of four (4) references. Each source on the reference list must have at least one
APA formatted in-text citation Links to an external site.
in your document. Citations are required any place in your document where you have used the ideas, data, or images of others.
Word Count: 1000 – 1400 words (not including the reference list.) This is a guide and is most important at the lower end; if your document is shorter than 1000 words, it is likely that it is lacking the detail needed.
For preliminary
Element 1: The Use of Statistics In [Your Field] * –
You may work with other students in your major on selecting uses, finding sources, and completing APA in-text citations and your reference list for this part of the assignment. However, writing your document MUST be completed individually.
Review the
Probability and Statistics in Engineering and Computer Science
Download Probability and Statistics in Engineering and Computer Science
article and resources to develop an understanding of the ways in which your field/major*** uses probability and statistics in the work done. Select 3 applications or tasks that are relevant to your field to research in more detail. To write this well you will need at least one source that helps you identify tasks that are accomplished using probability and statistics in your field, sources to help you describe the tasks, and sources to help you describe how probability and/or statistics are used to enable accomplishing the task. These sources should provide you with information that will allow you to develop 3 clearly presented examples of how probability and statistics are used in your field.
· You must use** a minimum of 4 cited sources for this section. However, you must also have sources to support what you say, which may require you to use additional sources.
*The Use of brackets indicates that you will replace the brackets and the words inside with ones that are appropriate to you and your work.
**Using a source means that you are synthesizing the ideas from the work of another into the original ideas you are putting forward in your work. You will have at least one in-text citation and reference list item using APA formatting for each source. Adding sources to the reference list without an in-text citation will result in no credit for that source.
***This section of the assignment has one required source. A minimum of three sources are required for this section which may come from the resources list or other CREDIBLE sources. Wikipedia may not be used as a source BUT its reference lists may be checked for credible sources.
****USF College of Engineering Majors are departments or major topic areas in departments, they include: Biomedical engineering, chemical engineering, civil engineering, structural engineering, environmental engineering, transportation engineering, computer science, computer engineering, cybersecurity, electrical engineering, industrial engineering, and mechanical engineering
Work to Submit. Complete all of the required information for each source you will use.
Element 2: Probability and Statistics Literacy will Enhance Your Employability.
For this section of your document you will read, interpret, and use descriptive statistics to make an argument that proficiency with probability and statistics will help students get a job when they graduate using the sources provided, these are:
The Four Career Competencies Employers Value Most
Links to an external site.
by NACE Staff
Are College Graduates “Career Ready”?
Links to an external site.
by NACE Staff
You must incorporate data from both sources, meaning you will have at least two points to make with the data as part of this section.
Work to Submit: For this part of the assignment, you will complete the following for each source you use, including the four provided.
· An APA formatted reference list item
· An in-text citation formatted in APA format
· For each source, a brief explanation of
1. What data from each document you will use to support your argument. You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument. For the source you use for the definition of the competencies list the competency or competencies you believe you will enhance in the probability and statistics course. You may not select all as being relevant to this course, you must think about, and make a choice about which competencies are core learning outcomes of this course and make an argument to support that.
2. How you will use the numerical data to support your argument. For the source you use for the definition of the competencies you will describe the way you will incorporate an understanding of the competency into your final document.
Element 3: Reference List (You may work with your assigned groups to complete the reference list.)
Work to Submit: Using the reference list items from above and any extra sources you plan to use, create an APA formatted reference list. You will have a minimum of 4 sources. It is important that your reference listings have the correct information, in the correct order, and that the items and list are formatted correctly. For the reference section, make sure the listings are alphabetized so they can be easily found. Use the APA formatting resources in your reading to help you with this. BEWARE: citation generators are often wrong; you can start with them BUT must revise any that are incorrect.
Element 4: Engaging Your Audience
For this section you will
1. Think about and describe a significant, shared aspirational goal or goals of young professionals entering the field. This goal will be something you can use to engage your readers as you start the document. In the example you will see for architecture students this is to design iconic buildings.
2. Develop a
thesis statement
Name: Herta Ayrton
Element 1: Use of Statistics in architecture
Source 1:
In-text citation
(Carbonnier, 2020)
Reference Listing for this source
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. HCM
Architects. https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
new-normal-2020-04-03/
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article defines zero net energy buildings and design strategies. It explains how
statistics are collected from IoT data sources and used in GIS to inform building form and
location decisions to maximize energy performance by evaluating sun, wind, and light. I will be
using Zero Net Energy buildings as an example of the use of statistics in the design phase of an
architectural design process.
Source 2:
In-text citation
(Gobes-Ryan, 2022)
Reference Listing for this source
Gobes-Ryan, S. (2022). The importance of probability and statistics in engineering and computer
science. https://usflearn.instructure.com/courses/1664254/pages/the-importance-of-
probability-and-statistics-in-engineering-and-computer-science
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article provides insight into how probability and statistics are used across many of the
disciplines in our college.
https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
Source 3:
In-text citation
(Goy, Maréchal, & Finn, 2020)
Reference Listing for this source
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modeling:
Assessing impacts and overcoming availability challenges. Energies (Basel), 13(16)
4244. doi: 10.3390/en13164244
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article addresses the use of data in building energy modeling and where there are gaps
in the data. This is the most essential source I have for understanding how data is used in
building energy modeling.
Element 2: Probability and Statistics Literacy will Enhance Your
Employability examples are not provided for this section; the questions are
straightforward
What statistical parameters are you able to determine in the data provided?
Given the type of data you are provided, and the question being asked is the mean or median the
most appropriate measure of location to use? Why?
Is a measure of spread important to the question being ask? Why or why not?
Is the data provided
Discrete OR Continuous
Numerical OR Categorical
Of the data provided, which important skill(s) will you hone within the math part of your
statistics course? How is this connected to having probability and statistics proficiency?
What two categories of data are provided in the data set?
How can each of these be used to support the case you will make in the IDL 1 Final?
Develop a table that is clear, easy to read and is organized to highlight the most important data to
your argument.
Element 3: Reference list
Hints: Reference lists in APA format are organized alphabetically by the first letter of the
reference item. This is done to make it easy for readers to find as the in-text citation starts with
the same words/names
Reference List
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. HCM
Architects. https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
new-normal-2020-04-03/
Gobes-Ryan, S. (2022). The importance of probability and statistics in engineering and computer
science. https://usflearn.instructure.com/courses/1664254/pages/the-importance-of-
probability-and-statistics-in-engineering-and-computer-science
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modelling:
Assessing impacts and overcoming availability challenges. Energies (Basel), 13(16)
4244. doi: 10.3390/en13164244
Element 4: Appealing to your audience
Describe the aspirational goal of a professional in your field
create iconic buildings
Develop a preliminary thesis statement for your document? (What is it about and
why does that matter?)
Probability and statistics proficiencies are essential skills for those who aim to create the high
performing architecture possible for our generation.
Sheila Gobes-Ryan 1
Probability and Statistics are the Foundation
for Building Your Architectural Career
Introduction
As future architects, we all dream of creating iconic buildings that result in professional recognition
and financial success. Increases in ‘big data’ and the technologies to analyze these data sets more
effectively make it possible to improve the quality of our designs in significant ways during the
design process. However, to integrate these big-data benefits into our design solutions, we need to
become proficient in probability and statistics while in school.
To illustrate this to you, I will describe how probability and statistics are used in architectural
design and show that this skill will help start your career when you graduate. First, I will discuss the
uses of probability and statistics for improving the outcomes of several phases of architectural
projects. Then I will talk to you about the importance of having the skill to complete data analysis
when starting your career.
The Use of Probability and Statistics in Architecture
Design Phase Use of Probability and Statistics
Architects use probability and statistics during different phases of projects to improve and evaluate
the effectiveness of their built projects. In the following sections, I will present the use of
probability and statistics in four project phases:
1. Architects use probability and statistics during site selection to analyze relevant data.
2. In pre-design, they analyze client needs and evaluate their client’s industry space use trends.
3. During design, they assess the layout and material options against existing performance data.
4. In post-occupancy, they evaluate the performance of the space against project goals,
comparable properties, and performance standards and requirements.
By integrating data-driven decisions into the design process, architects can be confident that they
will achieve the high client satisfaction needed for financial success.
Probability and Statistics in Site Selection
An organization’s selection of location impacts many aspects of business success. The decision
may be which city to locate in, what city section to move to, or what specific property to occupy.
However, for each decision, organizations must consider a wide range of business impacts that
location choices can have and if these will be positive or negative for their business. With statistical
and probabilistic analysis, architects can present the business impacts of many factors based on
current data and predicting how many factors are likely to develop in the future. These factors
include access to employees with the necessary skills, proximity to clients or customers, local cost
of living and expected wages, and commute time and transportation access for employees.
Sheila Gobes-Ryan 2
Architects can use these analyses to combine client data, publicly available data, and mobile device
data to make data-driven site selection decisions (Intalytic, 2021). With this, architects provide
their clients with better business outcomes.
Probability and Statistics in Pre-Design
Architects collect and evaluate data statistically during the pre-design stage to determine building
space needs (Vangelatos, 2018) currently and into the future. Input from client interviews and
surveys, company growth projections, and industry benchmarks are all integrated into space needs
and acquisition decisions. Client organizations will rely on the dependability of this work as they
sign leases that extend for years or sometimes decades.
Probability and Statistics in the Design Phase
During the design phase, architects make decisions on materials and building systems so that
projects meet current regulations for things such as energy and water use (Yaglewad, 2020).
Additionally, we are often required to go beyond this to meet standards like the LEEDS
Sustainable Buildings Certification and Zero Net Energy (Carbonnier, 2020). Our ability to run
virtual simulations that statistically evaluate and present a wide range of design, material, and
construction options is critical to our success in this phase. These simulations integrate physics and
statistics to provide sophisticated examinations of building performance of various design choices.
Findings from these simulations allow architects to make changes to improve building performance
before anything is built (Goy, Maréchal, and Finn, 2020).
Post Occupancy Evaluations with Probability and Statistics
After clients move into buildings, sensors connected to the internet can measure and evaluate
actual building performance (Davis, 2015). Owners can assess building performance against
building code requirements and targeted certification programs, such as LEED (Davis, 2015).
With the decrease in the cost of monitoring systems, building owners and occupants are using
these systems to collect and evaluate data on building use and building systems performance in
increasingly complex ways. Vendors of building systems components are creating sophisticated
data visualizations to present this data in easy-to-understand formats.
Clients are using these analyses to move toward performance-based contracts with architects.
These contracts hold back part of the design fees until clients evaluate the buildings resulting from
an architect’s design against required performance standards (Davis, 2015). To get the
compensation they are due, architects’ pre-design systems of evaluation must match the post-
occupancy performance of the resulting buildings. As a result, architects now have a significant
financial stake in the accuracy of the probability and statistical analyses they complete.
Sheila Gobes-Ryan 3
Probability and Statistics Literacy will Enhance Your Employability
You may be thinking that this is a skill set you can skip and allow others to bring to architectural
firms. However, recent data from the National Architectural Education Association (NAEA)
(2020) suggests you should think again about this.
Surveys completed across 2,456 participating architectural practices show that 93% of these firms
of all sizes use statistical data in multiple phases of their design work. For this reason, 85% of these
firms identified data literacy as a skill they consider significant for new employees. This skill
ranked higher in importance than traditional skills such as CAD proficiency. In follow-up
interviews with 200 firm leaders, 87% identified recent graduates’ data literacy as inadequate for the
work demands of entry-level positions. This deficiency did not align with the finding that 70% of
architecture school faculty believed they were preparing their students for the data literacy
demands of the profession. Most challenging was that only 17% of architecture students identified
data literacy as a necessary professional skill (NAEA, 2020).
This data suggest that architecture programs are not preparing students for the data literacy
demands of their profession. Conversely, this preparation deficit provides a distinct advantage for
architecture students who become data literate and familiar with the uses of data analysis in their
professional lives.
Conclusion
This document discusses the many phases of architectural design work in which probability and
statistics play a role. They are first used to evaluate different options for siting a project. Then to
document building needs into the future. During the following phase of work, architects run many
design choices through simulations that evaluate and present various design choices in building
performance. Finally, owners use probability and statistics to collect data and analyze building
performance outcomes. Clients are frequently connecting these outcomes to completing payment
of architectural contracts. For this reason, as with many fields, using and evaluating data in a wide
range of probability and statistics applications is a skill that employers have indicated is critical.
When we prepare to graduate, we now know this is a skill we must have to start on a path of
financial and professional success
References
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. Retrieved
from https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-new-
normal-2020-04-03/
Chilton, J. J. & Baldry, D. (1997). The effects of integrated workplace strategies on commercial
office space. Facilities, 15(7/8), 187-194. doi: 10.1108/02632779710168227
Davis, D. (2015, April 23). How big data is transforming architecture.: The phenomenon presents
hug opportunities for the built environment and the firms that design it. Architect.
Sheila Gobes-Ryan 4
Retrieved from https://www.architectmagazine.com/technology/how-big-data-is-
transforming-architecture_o
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modelling:
Assessing impacts and overcoming availability challenges. Energies 13. doi:
10.3390/en13164244
Intalytics, (2021). Precise recommendations back by sound science. Kalibrate Company.
https://intalytics.com/real-estate-solutions/
Vangelatos, G. (2018, October 12). How architects help increase patient satisfaction in healthcare
through building design.
Yaglewad, S. (2020, May 19). How is statistics used in architecture? What After College. Retrieved
from https://whataftercollege.com/data-science/statistics-used-in-
architecture/#:~:text=How%20is%20Statistics%20used%20in%20Architecture%3F&text=W
hen%20an%20architectural%20project%20is,use%20for%20the%20end%2Dusers.
https://www.architectmagazine.com/technology/how-big-data-is-transforming-architecture_o
https://www.architectmagazine.com/technology/how-big-data-is-transforming-architecture_o
- You may be thinking that this is a skill set you can skip and allow others to bring to architectural firms. However, recent data from the National Architectural Education Association (NAEA) (2020) suggests you should think again about this.
- Surveys completed across 2,456 participating architectural practices show that 93% of these firms of all sizes use statistical data in multiple phases of their design work. For this reason, 85% of these firms identified data literacy as a skill they c…
- This data suggest that architecture programs are not preparing students for the data literacy demands of their profession. Conversely, this preparation deficit provides a distinct advantage for architecture students who become data literate and famili…
Your Title Here
Introduction
Text of your Introduction here.
The Use of Probability and Statistics in [Your Field/Department]
Text of this section
Subtitles if Used
Text of this section
Probability and Statistics Literacy will Enhance Your Employability
Text of this section
Conclusion
Text of your Introduction here.
References
1
image1
Name:
Element 1: Use of Statistics in [Your field]
Source 1:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 2:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 3:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Source 4:
In-text citation
Reference Listing for this source
How the article informs the argument you will be making.
How you will use the ideas from the article to support your argument.
Element 2: Probability and Statistics Literacy will Enhance Your Employability
Source 1
In-text citation
Reference Listing for this source
What data from each document you will use to support your argument? You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument
How you will use the numerical data to support your argument.
Source 2
In-text citation
Reference Listing for this source
What data from each document you will use to support your argument? You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument
How you will use the numerical data to support your argument.
Element 3: Reference List (remember to alphabetize the reference list by the first name or word in the reference item.)
Element 4: Engaging your Audience
Something Aspirational to start your document
Thesis Statement
For final
Your document purpose is to persuade first year students in your field of the importance of probability and statistics to your field (department or program).
The tone of this document is to be professional, but accessible. Important considerations for a well written document include:
· Flow at the document, paragraph and sentence level.
· Using topic sentences in each section.
· Using section headers and sub-headers, as identified below and shown in the example document.
You may refer to the
professional and general writing
resources page for tools to help with your writing. You may also work with the
Writing Studio Links to an external site.
at the USF Library; this requires planning, as it is best to have an appointment to be assured of having someone to work with.
You will include the following sections:
·
A Document Title. Document titles must briefly and precisely indicate the topic of the document. Ideally, it is also something that will catch the readers’ attention.
·
Introduction. The
introduction Links to an external site.
must accomplish the following:
· Introduces the audience to the topic and its importance. Given the audience you are writing to, first-person is appropriate, as it is your experience as a more advanced student that makes you credible.
Consider as you finalize your introduction, that the USF students you are writing to are diverse in many ways, including in age, life/professional experience, and cultural background. You must speak to all of them, not just to the ones that are like you.
· Includes a
thesis statement
Links to an external site.
that makes the primary claim you will argue in this handout and what you will say about it.
· States how you will use the document to support your argument.
· Present this in a concise, clear paragraph that makes the reader want to read your handout.
After you complete the body of your document, review your introduction to make sure it accurately states what you accomplished with the document. Revise the document as needed to make sure the introduction and the document body work together.
·
The Use of Statistics in [Your Field]. Using the information that you found in the preliminary phase of this assignment, develop this section. This section will start with an introductory paragraph giving students an overview of the different work aspects you will address. This is followed by 3 subsections (with sub-titles) describing the specific aspects of work for which statistics are used and then discussing specifically how probability or statistics enables the work to be accomplished. This section must have in-text citations to demonstrate you have researched the topic using credible sources.
·
Probability and Statistics Literacy will Enhance Your Employability. Develop a written argument using the data provided to indicate how proficiency in probability and statistics will help to develop competency/competencies employers find look for when hiring recent college graduates. Select only the competency or competencies that are core learning outcomes to this course, (you may not use all of the competencies the webpages identify). Additionally you must incorporate numerical data from both web pages into the argument.
·
Conclusion. The conclusion is a summary of your ENTIRE document. It summarizes what you have done to support you thesis, and includes a reworded restatement of your thesis. It ends with a reminder to the readers of the importance of all of this for their professional future.
·
Reference List. The document will end with an
APA formatted reference list Links to an external site.
Links to an external site.
with a minimum of four (4) references. Each source on the reference list must have at least one
APA formatted in-text citation Links to an external site.
in your document. Citations are required any place in your document where you have used the ideas, data, or images of others.
Word Count: 1000 – 1400 words (not including the reference list.) This is a guide and is most important at the lower end; if your document is shorter than 1000 words, it is likely that it is lacking the detail needed.
For preliminary
Element 1: The Use of Statistics In [Your Field] * –
You may work with other students in your major on selecting uses, finding sources, and completing APA in-text citations and your reference list for this part of the assignment. However, writing your document MUST be completed individually.
Review the
Probability and Statistics in Engineering and Computer Science
Download Probability and Statistics in Engineering and Computer Science
article and resources to develop an understanding of the ways in which your field/major*** uses probability and statistics in the work done. Select 3 applications or tasks that are relevant to your field to research in more detail. To write this well you will need at least one source that helps you identify tasks that are accomplished using probability and statistics in your field, sources to help you describe the tasks, and sources to help you describe how probability and/or statistics are used to enable accomplishing the task. These sources should provide you with information that will allow you to develop 3 clearly presented examples of how probability and statistics are used in your field.
· You must use** a minimum of 4 cited sources for this section. However, you must also have sources to support what you say, which may require you to use additional sources.
*The Use of brackets indicates that you will replace the brackets and the words inside with ones that are appropriate to you and your work.
**Using a source means that you are synthesizing the ideas from the work of another into the original ideas you are putting forward in your work. You will have at least one in-text citation and reference list item using APA formatting for each source. Adding sources to the reference list without an in-text citation will result in no credit for that source.
***This section of the assignment has one required source. A minimum of three sources are required for this section which may come from the resources list or other CREDIBLE sources. Wikipedia may not be used as a source BUT its reference lists may be checked for credible sources.
****USF College of Engineering Majors are departments or major topic areas in departments, they include: Biomedical engineering, chemical engineering, civil engineering, structural engineering, environmental engineering, transportation engineering, computer science, computer engineering, cybersecurity, electrical engineering, industrial engineering, and mechanical engineering
Work to Submit. Complete all of the required information for each source you will use.
Element 2: Probability and Statistics Literacy will Enhance Your Employability.
For this section of your document you will read, interpret, and use descriptive statistics to make an argument that proficiency with probability and statistics will help students get a job when they graduate using the sources provided, these are:
The Four Career Competencies Employers Value Most
Links to an external site.
by NACE Staff
Are College Graduates “Career Ready”?
Links to an external site.
by NACE Staff
You must incorporate data from both sources, meaning you will have at least two points to make with the data as part of this section.
Work to Submit: For this part of the assignment, you will complete the following for each source you use, including the four provided.
· An APA formatted reference list item
· An in-text citation formatted in APA format
· For each source, a brief explanation of
1. What data from each document you will use to support your argument. You must use numerical data from both documents. The data must be presented in a way that a reader will understand what it means without referencing the two web pages you are using. Do not use any statistical data that is not relevant to your argument. For the source you use for the definition of the competencies list the competency or competencies you believe you will enhance in the probability and statistics course. You may not select all as being relevant to this course, you must think about, and make a choice about which competencies are core learning outcomes of this course and make an argument to support that.
2. How you will use the numerical data to support your argument. For the source you use for the definition of the competencies you will describe the way you will incorporate an understanding of the competency into your final document.
Element 3: Reference List (You may work with your assigned groups to complete the reference list.)
Work to Submit: Using the reference list items from above and any extra sources you plan to use, create an APA formatted reference list. You will have a minimum of 4 sources. It is important that your reference listings have the correct information, in the correct order, and that the items and list are formatted correctly. For the reference section, make sure the listings are alphabetized so they can be easily found. Use the APA formatting resources in your reading to help you with this. BEWARE: citation generators are often wrong; you can start with them BUT must revise any that are incorrect.
Element 4: Engaging Your Audience
For this section you will
1. Think about and describe a significant, shared aspirational goal or goals of young professionals entering the field. This goal will be something you can use to engage your readers as you start the document. In the example you will see for architecture students this is to design iconic buildings.
2. Develop a
thesis statement
Name: Herta Ayrton
Element 1: Use of Statistics in architecture
Source 1:
In-text citation
(Carbonnier, 2020)
Reference Listing for this source
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. HCM
Architects. https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
new-normal-2020-04-03/
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article defines zero net energy buildings and design strategies. It explains how
statistics are collected from IoT data sources and used in GIS to inform building form and
location decisions to maximize energy performance by evaluating sun, wind, and light. I will be
using Zero Net Energy buildings as an example of the use of statistics in the design phase of an
architectural design process.
Source 2:
In-text citation
(Gobes-Ryan, 2022)
Reference Listing for this source
Gobes-Ryan, S. (2022). The importance of probability and statistics in engineering and computer
science. https://usflearn.instructure.com/courses/1664254/pages/the-importance-of-
probability-and-statistics-in-engineering-and-computer-science
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article provides insight into how probability and statistics are used across many of the
disciplines in our college.
https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
Source 3:
In-text citation
(Goy, Maréchal, & Finn, 2020)
Reference Listing for this source
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modeling:
Assessing impacts and overcoming availability challenges. Energies (Basel), 13(16)
4244. doi: 10.3390/en13164244
This source provides the following information I will need for the assignment
Describes a range of applications of probability and statistics for my field
Defines the specific application
Defines how probability and/or statistics are used to accomplish this application
Describe how you will use the ideas from the article to support your argument.
This article addresses the use of data in building energy modeling and where there are gaps
in the data. This is the most essential source I have for understanding how data is used in
building energy modeling.
Element 2: Probability and Statistics Literacy will Enhance Your
Employability examples are not provided for this section; the questions are
straightforward
What statistical parameters are you able to determine in the data provided?
Given the type of data you are provided, and the question being asked is the mean or median the
most appropriate measure of location to use? Why?
Is a measure of spread important to the question being ask? Why or why not?
Is the data provided
Discrete OR Continuous
Numerical OR Categorical
Of the data provided, which important skill(s) will you hone within the math part of your
statistics course? How is this connected to having probability and statistics proficiency?
What two categories of data are provided in the data set?
How can each of these be used to support the case you will make in the IDL 1 Final?
Develop a table that is clear, easy to read and is organized to highlight the most important data to
your argument.
Element 3: Reference list
Hints: Reference lists in APA format are organized alphabetically by the first letter of the
reference item. This is done to make it easy for readers to find as the in-text citation starts with
the same words/names
Reference List
Carbonnier, E. (2020, April 5) Zero net energy design strategies: Creating a new normal. HCM
Architects. https://hmcarchitects.com/news/zero-net-energy-design-strategies-creating-a-
new-normal-2020-04-03/
Gobes-Ryan, S. (2022). The importance of probability and statistics in engineering and computer
science. https://usflearn.instructure.com/courses/1664254/pages/the-importance-of-
probability-and-statistics-in-engineering-and-computer-science
Goy, S., Maréchal, F. & Finn, D. (2020). Data for urban scale building energy modelling:
Assessing impacts and overcoming availability challenges. Energies (Basel), 13(16)
4244. doi: 10.3390/en13164244
Element 4: Appealing to your audience
Describe the aspirational goal of a professional in your field
create iconic buildings
Develop a preliminary thesis statement for your document? (What is it about and
why does that matter?)
Probability and statistics proficiencies are essential skills for those who aim to create the high
performing architecture possible for our generation.