3 classes matched your search criteria.
PA 5205 is also offered in Fall 2024
PA 5205 is also offered in Fall 2023
PA 5205 is also offered in Fall 2022
PA 5205 is also offered in Fall 2021
Fall 2023 | PA 5205 Section 001: Statistics for Planning (23355)
- Instructor(s)
- Class Component:
- Lecture
- Instructor Consent:
- No Special Consent Required
- Instruction Mode:
- In Person
- Enrollment Requirements:
- Urban/Regional Planning major
- Times and Locations:
- Regular Academic Session09/05/2023 - 12/13/2023Tue, Thu 11:15AM - 12:30PMUMTC, West BankBlegen Hall 415
- Enrollment Status:
- Open (20 of 40 seats filled)
- Also Offered:
- Course Catalog Description:
- Basic statistical tools for empirical analysis in urban and regional planning, including descriptive statistics, frequency distributions, elementary probability theory, research design and sampling, statistical inference, hypothesis testing, cross-tabulation/chi-square distribution, correlation, and simple/multiple regression analysis.
- Class Notes:
- http://classinfo.umn.edu/?elind+PA5205+Fall2023
- Class Description:
- This course will introduce you to the foundations of probabilistic analysis, which is a way to make the connection between data and useful understanding. Statistical models simplify the complexity of real-world data into relationships we hope to act on to change outcomes, or at least to understand outcomes a little better. There is an ever-growing set of statistical approaches to gathering knowledge from data, and they ultimately derive from common principles. We will focus on these principles of statistics as we apply techniques to examples in land use, transportation, and regional development.
- Learning Objectives:
- At the end of this course you should be able to:
- Ask questions to evaluate statistical evidence in scientific articles and the media
- Describe the importance of probability sampling, variability, and measurement error
- Understand and critique sampling design and survey administration
- Construct causal models underlying statistical evaluation
- Decide whether to pursue further training in advanced statistics and survey design
- Ask questions to evaluate statistical evidence in scientific articles and the media
- Textbooks:
- https://bookstores.umn.edu/course-lookup/23355/1239
- Syllabus:
- http://classinfo.umn.edu/syllabi/elind_PA5205_Fall2023.pdf
- Instructor Supplied Information Last Updated:
- 22 August 2023
Fall 2023 | PA 5205 Section 002: Statistics for Planning (23356)
- Instructor(s)
- Class Component:
- Laboratory
- Times and Locations:
- Regular Academic Session09/05/2023 - 12/13/2023Thu 09:45AM - 11:00AMUMTC, West BankHubert H Humphrey Center 85
- Auto Enrolls With:
- Section 001
- Enrollment Status:
- Open (15 of 20 seats filled)
- Course Catalog Description:
- Basic statistical tools for empirical analysis in urban and regional planning, including descriptive statistics, frequency distributions, elementary probability theory, research design and sampling, statistical inference, hypothesis testing, cross-tabulation/chi-square distribution, correlation, and simple/multiple regression analysis.
- Class Notes:
- http://classinfo.umn.edu/?elind+PA5205+Fall2023
- Class Description:
- This course will introduce you to the foundations of probabilistic analysis, which is a way to make the connection between data and useful understanding. Statistical models simplify the complexity of real-world data into relationships we hope to act on to change outcomes, or at least to understand outcomes a little better. There is an ever-growing set of statistical approaches to gathering knowledge from data, and they ultimately derive from common principles. We will focus on these principles of statistics as we apply techniques to examples in land use, transportation, and regional development.
- Learning Objectives:
- At the end of this course you should be able to:
- Ask questions to evaluate statistical evidence in scientific articles and the media
- Describe the importance of probability sampling, variability, and measurement error
- Understand and critique sampling design and survey administration
- Construct causal models underlying statistical evaluation
- Decide whether to pursue further training in advanced statistics and survey design
- Ask questions to evaluate statistical evidence in scientific articles and the media
- Textbooks:
- https://bookstores.umn.edu/course-lookup/23356/1239
- Syllabus:
- http://classinfo.umn.edu/syllabi/elind_PA5205_Fall2023.pdf
- Instructor Supplied Information Last Updated:
- 22 August 2023
Fall 2023 | PA 5205 Section 003: Statistics for Planning (23357)
- Instructor(s)
- Class Component:
- Laboratory
- Times and Locations:
- Regular Academic Session09/05/2023 - 12/13/2023Tue 02:30PM - 03:45PMUMTC, West BankHubert H Humphrey Center 85
- Auto Enrolls With:
- Section 001
- Enrollment Status:
- Open (5 of 20 seats filled)
- Course Catalog Description:
- Basic statistical tools for empirical analysis in urban and regional planning, including descriptive statistics, frequency distributions, elementary probability theory, research design and sampling, statistical inference, hypothesis testing, cross-tabulation/chi-square distribution, correlation, and simple/multiple regression analysis.
- Class Notes:
- http://classinfo.umn.edu/?elind+PA5205+Fall2023
- Class Description:
- This course will introduce you to the foundations of probabilistic analysis, which is a way to make the connection between data and useful understanding. Statistical models simplify the complexity of real-world data into relationships we hope to act on to change outcomes, or at least to understand outcomes a little better. There is an ever-growing set of statistical approaches to gathering knowledge from data, and they ultimately derive from common principles. We will focus on these principles of statistics as we apply techniques to examples in land use, transportation, and regional development.
- Learning Objectives:
- At the end of this course you should be able to:
- Ask questions to evaluate statistical evidence in scientific articles and the media
- Describe the importance of probability sampling, variability, and measurement error
- Understand and critique sampling design and survey administration
- Construct causal models underlying statistical evaluation
- Decide whether to pursue further training in advanced statistics and survey design
- Ask questions to evaluate statistical evidence in scientific articles and the media
- Textbooks:
- https://bookstores.umn.edu/course-lookup/23357/1239
- Syllabus:
- http://classinfo.umn.edu/syllabi/elind_PA5205_Fall2023.pdf
- Instructor Supplied Information Last Updated:
- 22 August 2023
ClassInfo Links - Fall 2023 Public Affairs Classes
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