2 classes matched your search criteria.
PA 5033 is also offered in Spring 2023
PA 5033 is also offered in Spring 2022
Spring 2022 | PA 5033 Section 004: Multivariate Techniques (58910)
- Instructor(s)
- Class Component:
- Lecture
- Instructor Consent:
- No Special Consent Required
- Instruction Mode:
- In Person Term Based
- Enrollment Requirements:
- PA: major or minor in Public Policy or Science/Technology/Environmental Policy or PA PhD or Human Rights major or Development Practice major
- Times and Locations:
Second Half of Term
Mon,
Wed 09:45AM - 11:00AM
UMTC, West Bank
Blegen Hall 135
- Enrollment Status:
Open (29 of 48 seats filled)
- Also Offered:
- Course Catalog Description:
- Use of bivariate and multivariate statistical approaches for analyzing and evaluating public affairs issues and the assumptions behind the analytical approaches. Designed to help students read, understand, interpret, use, and evaluate empirical work used in social sciences by policy analysts and policy makers. prereq: [5032 or 5044 or equiv] or instr consent. May fulfill stats requirements in other programs.
- Class Notes:
- http://classinfo.umn.edu/?klein002+PA5033+Spring2021
- Class Description:
This class examines how statistical approaches can be used to examine public policies. This course is designed to help the student read, understand, interpret, use and evaluate empirical work used in the social sciences and by policy analysts. The course concentrates attention on several quantitative techniques used by public policy researchers and advisors to policy makers. The course covers techniques such as time series analysis, statistical cause and effect, forecasting models, limited dependent variables, combining time series and cross section data, and an introduction to big data and machine learning. A basic statistics class is a required prerequisite. Here is a link to a video: http://player.vimeo.com/external/89316179.sd.mp4?s=5148a78bbdba654e8040327fa8ae93f1
- Who Should Take This Class?:
To learn quantitative techniques such as time series analysis, statistical cause and effect, forecasting models, limited dependent variables, combining time series and cross section data, and an introduction to big data and machine learning.
https://bookstores.umn.edu/course-lookup/58910/1223
- Past Syllabi:
- http://classinfo.umn.edu/syllabi/klein002_PA5033_Spring2021.doc (Spring 2021)
http://classinfo.umn.edu/syllabi/klein002_PA5033_Spring2019.doc (Spring 2019)
- Instructor Supplied Information Last Updated:
- 10 December 2020
Spring 2022 | PA 5033 Section 006: Multivariate Techniques (58914)
- Instructor(s)
- Class Component:
- Laboratory
- Times and Locations:
Second Half of Term
UMTC, West Bank
Hubert H Humphrey Center 184
- Auto Enrolls With:
- Section 004
- Enrollment Status:
Open (29 of 38 seats filled)
- Course Catalog Description:
- Use of bivariate and multivariate statistical approaches for analyzing and evaluating public affairs issues and the assumptions behind the analytical approaches. Designed to help students read, understand, interpret, use, and evaluate empirical work used in social sciences by policy analysts and policy makers. prereq: [5032 or 5044 or equiv] or instr consent. May fulfill stats requirements in other programs.
- Class Notes:
- Contact the instructor if you are interested in taking the lab REMOTELY. http://classinfo.umn.edu/?klein002+PA5033+Spring2021
- Class Description:
This class examines how statistical approaches can be used to examine public policies. This course is designed to help the student read, understand, interpret, use and evaluate empirical work used in the social sciences and by policy analysts. The course concentrates attention on several quantitative techniques used by public policy researchers and advisors to policy makers. The course covers techniques such as time series analysis, statistical cause and effect, forecasting models, limited dependent variables, combining time series and cross section data, and an introduction to big data and machine learning. A basic statistics class is a required prerequisite. Here is a link to a video: http://player.vimeo.com/external/89316179.sd.mp4?s=5148a78bbdba654e8040327fa8ae93f1
- Who Should Take This Class?:
To learn quantitative techniques such as time series analysis, statistical cause and effect, forecasting models, limited dependent variables, combining time series and cross section data, and an introduction to big data and machine learning.
https://bookstores.umn.edu/course-lookup/58914/1223
- Past Syllabi:
- http://classinfo.umn.edu/syllabi/klein002_PA5033_Spring2021.doc (Spring 2021)
http://classinfo.umn.edu/syllabi/klein002_PA5033_Spring2019.doc (Spring 2019)
- Instructor Supplied Information Last Updated:
- 10 December 2020
ClassInfo Links - Spring 2022 Public Affairs Classes