3 classes matched your search criteria.

Spring 2021  |  PA 5043 Section 001: Economic and Demographic Data Analysis (54125)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
Completely Online
Class Attributes:
Online Course
Enrollment Requirements:
PA: Major/minor, Urb-Reg Planning
Times and Locations:
Second Half of Term
 
03/09/2021 - 05/03/2021
Tue, Thu 01:00PM - 02:15PM
Off Campus
UMN REMOTE
Enrollment Status:
Open (38 of 41 seats filled)
Also Offered:
Course Catalog Description:
Economic/demographic data analysis techniques for planning. Exposure to most important data sources. Conceptual understanding of range of methods/hands-on experience in applying these methods. prereq: Major or minor in urban/regional planning or instr consent
Class Notes:
Class will be offered REMOTELY. Class will meet synchronously-online during Spring 2021 during the scheduled time. http://classinfo.umn.edu/?assaad@umn.edu+PA5043+Spring2021
Class Description:
This course aims at developing quantitative data analysis skills in the areas of economic and demographic analysis of small geographic areas. The methods covered are used to analyze the structure of regional and local economies, such as location quotient analysis and the economic base model, and to analyze the structure of the population and project population change over time. Familiarity with Excel is assumed.
Learning Objectives:
Become familiar with, and able to search, the most important online public sources of quantitative economic and demographic data that provide information at the regional and local levels
Able to effectively download data from these sources and put them in a suitable format for analysis
Become comfortable with models and mathematical representations of reality, and be able to competently move back and forth from verbal to mathematical formulations of economic and demographic concepts.
Able to effectively manipulate data and conduct quantitative analyses using a spreadsheet program such as Excel.
Able to accurately interpret quantitative results
Understand the economic and demographic factors that underlie the growth of urban and regional economies
Able to evaluate the assumptions that underlie quantitative models and analyses and assess their limitations
Able to prepare clear, accurate and compelling reports using text, tables and graphics
Become intelligent consumers and critical readers of work that uses quantitative methods.
Be aware of the ethical dimensions of quantitative data analysis and interpretation and the various ways in which data can be manipulated to come up with the "right answer."

Grading:
Quizzes 20%, Team Projects 40% , Take-Home Final 40%
Exam Format:
Two in-class open-book, open-notes quizzes, Open-book, open-note take home final exam
Class Format:
67% lecture, 33% computer lab
Textbooks:
https://bookstores.umn.edu/course-lookup/54125/1213
Past Syllabi:
http://classinfo.umn.edu/syllabi/assaad_PA5043_Spring2019.pdf (Spring 2019)
http://classinfo.umn.edu/syllabi/assaad_PA5043_Spring2016.pdf (Spring 2016)
Instructor Supplied Information Last Updated:
7 December 2018

Spring 2021  |  PA 5043 Section 002: Economic and Demographic Data Analysis (54126)

Instructor(s)
Class Component:
Laboratory
Class Attributes:
Online Course
Times and Locations:
Second Half of Term
 
03/09/2021 - 05/03/2021
Fri 09:45AM - 11:00AM
Off Campus
UMN REMOTE
Auto Enrolls With:
Section 001
Enrollment Status:
Closed (21 of 21 seats filled)
Course Catalog Description:
Economic/demographic data analysis techniques for planning. Exposure to most important data sources. Conceptual understanding of range of methods/hands-on experience in applying these methods. prereq: Major or minor in urban/regional planning or instr consent
Class Notes:
Class will be offered REMOTELY. Class will meet synchronously-online during Spring 2021 during the scheduled time. http://classinfo.umn.edu/?assaad@umn.edu+PA5043+Spring2021
Class Description:
This course aims at developing quantitative data analysis skills in the areas of economic and demographic analysis of small geographic areas. The methods covered are used to analyze the structure of regional and local economies, such as location quotient analysis and the economic base model, and to analyze the structure of the population and project population change over time. Familiarity with Excel is assumed.
Learning Objectives:
Become familiar with, and able to search, the most important online public sources of quantitative economic and demographic data that provide information at the regional and local levels
Able to effectively download data from these sources and put them in a suitable format for analysis
Become comfortable with models and mathematical representations of reality, and be able to competently move back and forth from verbal to mathematical formulations of economic and demographic concepts.
Able to effectively manipulate data and conduct quantitative analyses using a spreadsheet program such as Excel.
Able to accurately interpret quantitative results
Understand the economic and demographic factors that underlie the growth of urban and regional economies
Able to evaluate the assumptions that underlie quantitative models and analyses and assess their limitations
Able to prepare clear, accurate and compelling reports using text, tables and graphics
Become intelligent consumers and critical readers of work that uses quantitative methods.
Be aware of the ethical dimensions of quantitative data analysis and interpretation and the various ways in which data can be manipulated to come up with the "right answer."

Grading:
Quizzes 20%, Team Projects 40% , Take-Home Final 40%
Exam Format:
Two in-class open-book, open-notes quizzes, Open-book, open-note take home final exam
Class Format:
67% lecture, 33% computer lab
Textbooks:
https://bookstores.umn.edu/course-lookup/54126/1213
Past Syllabi:
http://classinfo.umn.edu/syllabi/assaad_PA5043_Spring2019.pdf (Spring 2019)
http://classinfo.umn.edu/syllabi/assaad_PA5043_Spring2016.pdf (Spring 2016)
Instructor Supplied Information Last Updated:
7 December 2018

Spring 2021  |  PA 5043 Section 003: Economic and Demographic Data Analysis (54127)

Instructor(s)
Class Component:
Laboratory
Class Attributes:
Online Course
Times and Locations:
Second Half of Term
 
03/09/2021 - 05/03/2021
Fri 11:15AM - 12:30PM
Off Campus
UMN REMOTE
Auto Enrolls With:
Section 001
Enrollment Status:
Open (17 of 20 seats filled)
Course Catalog Description:
Economic/demographic data analysis techniques for planning. Exposure to most important data sources. Conceptual understanding of range of methods/hands-on experience in applying these methods. prereq: Major or minor in urban/regional planning or instr consent
Class Notes:
Class will be offered REMOTELY. Class will meet synchronously-online during Spring 2021 during the scheduled time. http://classinfo.umn.edu/?assaad@umn.edu+PA5043+Spring2021
Class Description:
This course aims at developing quantitative data analysis skills in the areas of economic and demographic analysis of small geographic areas. The methods covered are used to analyze the structure of regional and local economies, such as location quotient analysis and the economic base model, and to analyze the structure of the population and project population change over time. Familiarity with Excel is assumed.
Learning Objectives:
Become familiar with, and able to search, the most important online public sources of quantitative economic and demographic data that provide information at the regional and local levels
Able to effectively download data from these sources and put them in a suitable format for analysis
Become comfortable with models and mathematical representations of reality, and be able to competently move back and forth from verbal to mathematical formulations of economic and demographic concepts.
Able to effectively manipulate data and conduct quantitative analyses using a spreadsheet program such as Excel.
Able to accurately interpret quantitative results
Understand the economic and demographic factors that underlie the growth of urban and regional economies
Able to evaluate the assumptions that underlie quantitative models and analyses and assess their limitations
Able to prepare clear, accurate and compelling reports using text, tables and graphics
Become intelligent consumers and critical readers of work that uses quantitative methods.
Be aware of the ethical dimensions of quantitative data analysis and interpretation and the various ways in which data can be manipulated to come up with the "right answer."

Grading:
Quizzes 20%, Team Projects 40% , Take-Home Final 40%
Exam Format:
Two in-class open-book, open-notes quizzes, Open-book, open-note take home final exam
Class Format:
67% lecture, 33% computer lab
Textbooks:
https://bookstores.umn.edu/course-lookup/54127/1213
Past Syllabi:
http://classinfo.umn.edu/syllabi/assaad_PA5043_Spring2019.pdf (Spring 2019)
http://classinfo.umn.edu/syllabi/assaad_PA5043_Spring2016.pdf (Spring 2016)
Instructor Supplied Information Last Updated:
7 December 2018

ClassInfo Links - Spring 2021 Public Affairs Classes Taught by Ragui Assaad

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