6 classes matched your search criteria.
PA 5982 is also offered in Fall 2021
PA 5982 is also offered in Fall 2020
PA 5982 is also offered in Spring 2020
PA 5982 is also offered in Spring 2019
Fall 2021 | PA 5982 Section 001: Data Analysis for Election Administration (34685)
- Instructor(s)
- Class Component:
- Lecture
- Credits:
- 2 Credits
- Grading Basis:
- Student Option No Audit
- Instructor Consent:
- No Special Consent Required
- Instruction Mode:
- Completely Online
- Class Attributes:
- Online Course
- Meets With:
- PA 3982 Section 001
- Times and Locations:
- Regular Academic Session09/08/2021Wed 05:00PM - 06:00PMOff CampusUMN REMOTE11/02/2021Tue 05:00PM - 06:00PMOff CampusUMN REMOTE11/30/2021Tue 05:00PM - 06:00PMOff CampusUMN REMOTE09/07/2021 - 12/15/2021Off CampusVirtual Rooms ONLINEONLY
- Enrollment Status:
- Open (3 of 15 seats filled)
- Also Offered:
- Course Catalog Description:
- Evidence-based election administration. Collection and analysis of quantitative data to solve problems and identify opportunities for improvement. Emphasis on pre-election forecasting for planning purposes and post-election auditing of election results.
- Class Notes:
- Remote sessions will be held on 9/8/21, 11/2/21, and 11/30/21 from 5:00-6:00 p.m. Centrail Time. All other work will be asynchronous. http://classinfo.umn.edu/?+PA5982+Fall2021
- Class Description:
- This course will highlight the importance of evidence-based election administration, which focuses on collection and analysis of quantitative data to solve problems and identify opportunities for improvement. There will be an emphasis on pre-election forecasting for planning purposes as well as post-election auditing of election results.
Identify sources of data in the election process.
Examine different methods to obtain data that informs policy decisions and administrative processes based on voting behavior and the architecture of voting systems.
Use data to forecast turnout and other Election Day events to assist with pre-election planning.
Apply data analysis techniques to post-election reviews as part of continuous improvement.
Illustrate the story of an election by presenting data in a meaningful and persuasive way. - Textbooks:
- https://bookstores.umn.edu/course-lookup/34685/1219
- Past Syllabi:
- http://classinfo.umn.edu/syllabi/tpatrick_PA3982_Spring2019.pdf (Spring 2019)
- Instructor Supplied Information Last Updated:
- 21 February 2017
Fall 2020 | PA 5982 Section 001: Data Analysis for Election Administration (34061)
- Instructor(s)
- Class Component:
- Lecture
- Credits:
- 2 Credits
- Grading Basis:
- Student Option No Audit
- Instructor Consent:
- No Special Consent Required
- Instruction Mode:
- Completely Online
- Class Attributes:
- Online Course
- Meets With:
- PA 3982 Section 001
- Times and Locations:
- Regular Academic Session09/08/2020 - 12/16/2020Off CampusVirtual Rooms ONLINEONLY
- Enrollment Status:
- Open (8 of 10 seats filled)
- Also Offered:
- Course Catalog Description:
- Evidence-based election administration. Collection and analysis of quantitative data to solve problems and identify opportunities for improvement. Emphasis on pre-election forecasting for planning purposes and post-election auditing of election results.
- Class Notes:
- http://classinfo.umn.edu/?tpatrick+PA5982+Fall2020
- Class Description:
- This course will highlight the importance of evidence-based election administration, which focuses on collection and analysis of quantitative data to solve problems and identify opportunities for improvement. There will be an emphasis on pre-election forecasting for planning purposes as well as post-election auditing of election results.
Identify sources of data in the election process.
Examine different methods to obtain data that informs policy decisions and administrative processes based on voting behavior and the architecture of voting systems.
Use data to forecast turnout and other Election Day events to assist with pre-election planning.
Apply data analysis techniques to post-election reviews as part of continuous improvement.
Illustrate the story of an election by presenting data in a meaningful and persuasive way. - Textbooks:
- https://bookstores.umn.edu/course-lookup/34061/1209
- Past Syllabi:
- http://classinfo.umn.edu/syllabi/tpatrick_PA3982_Spring2019.pdf (Spring 2019)
- Instructor Supplied Information Last Updated:
- 21 February 2017
Spring 2020 | PA 5982 Section 001: Data Analysis for Election Administration (57588)
- Instructor(s)
- Class Component:
- Lecture
- Credits:
- 2 Credits
- Grading Basis:
- Student Option No Audit
- Instructor Consent:
- No Special Consent Required
- Instruction Mode:
- Completely Online
- Class Attributes:
- Online Course
- Meets With:
- PA 3982 Section 001
- Times and Locations:
- Regular Academic Session01/21/2020 - 05/04/2020Off CampusVirtual Rooms ONLINEONLY
- Enrollment Status:
- Open (4 of 20 seats filled)
- Also Offered:
- Course Catalog Description:
- Evidence-based election administration. Collection and analysis of quantitative data to solve problems and identify opportunities for improvement. Emphasis on pre-election forecasting for planning purposes and post-election auditing of election results.
- Class Notes:
- http://classinfo.umn.edu/?tpatrick+PA5982+Spring2020
- Class Description:
- This course will highlight the importance of evidence-based election administration, which focuses on collection and analysis of quantitative data to solve problems and identify opportunities for improvement. There will be an emphasis on pre-election forecasting for planning purposes as well as post-election auditing of election results.
Identify sources of data in the election process.
Examine different methods to obtain data that informs policy decisions and administrative processes based on voting behavior and the architecture of voting systems.
Use data to forecast turnout and other Election Day events to assist with pre-election planning.
Apply data analysis techniques to post-election reviews as part of continuous improvement.
Illustrate the story of an election by presenting data in a meaningful and persuasive way. - Textbooks:
- https://bookstores.umn.edu/course-lookup/57588/1203
- Past Syllabi:
- http://classinfo.umn.edu/syllabi/tpatrick_PA3982_Spring2019.pdf (Spring 2019)
- Instructor Supplied Information Last Updated:
- 21 February 2017
Spring 2019 | PA 5982 Section 001: Data Analysis for Election Administration (58272)
- Instructor(s)
- Class Component:
- Lecture
- Credits:
- 2 Credits
- Grading Basis:
- Student Option No Audit
- Instructor Consent:
- No Special Consent Required
- Instruction Mode:
- Completely Online
- Class Attributes:
- Online Course
- Meets With:
- PA 3982 Section 001
- Times and Locations:
- Regular Academic Session01/22/2019 - 05/06/2019Off CampusVirtual Rooms ONLINEONLY
- Enrollment Status:
- Open (6 of 20 seats filled)
- Also Offered:
- Course Catalog Description:
- Evidence-based election administration. Collection and analysis of quantitative data to solve problems and identify opportunities for improvement. Emphasis on pre-election forecasting for planning purposes and post-election auditing of election results.
- Class Notes:
- http://classinfo.umn.edu/?tpatrick+PA5982+Spring2019
- Class Description:
- This course will highlight the importance of evidence-based election administration, which focuses on collection and analysis of quantitative data to solve problems and identify opportunities for improvement. There will be an emphasis on pre-election forecasting for planning purposes as well as post-election auditing of election results.
Identify sources of data in the election process.
Examine different methods to obtain data that informs policy decisions and administrative processes based on voting behavior and the architecture of voting systems.
Use data to forecast turnout and other Election Day events to assist with pre-election planning.
Apply data analysis techniques to post-election reviews as part of continuous improvement.
Illustrate the story of an election by presenting data in a meaningful and persuasive way. - Textbooks:
- https://bookstores.umn.edu/course-lookup/58272/1193
- Syllabus:
- http://classinfo.umn.edu/syllabi/tpatrick_PA3982_Spring2019.pdf
- Instructor Supplied Information Last Updated:
- 21 February 2017
Spring 2018 | PA 5982 Section 001: Data Analysis for Election Administration (66871)
- Instructor(s)
- Class Component:
- Lecture
- Credits:
- 2 Credits
- Grading Basis:
- Student Option No Audit
- Instructor Consent:
- No Special Consent Required
- Instruction Mode:
- Completely Online
- Class Attributes:
- Online Course
- Meets With:
- PA 3982 Section 001
- Times and Locations:
- Regular Academic Session01/16/2018 - 05/04/2018Off CampusVirtual Rooms ONLINEONLY
- Enrollment Status:
- Open (6 of 20 seats filled)
- Also Offered:
- Course Catalog Description:
- Evidence-based election administration. Collection and analysis of quantitative data to solve problems and identify opportunities for improvement. Emphasis on pre-election forecasting for planning purposes and post-election auditing of election results.
- Class Notes:
- http://classinfo.umn.edu/?tpatrick+PA5982+Spring2018
- Class Description:
- This course will highlight the importance of evidence-based election administration, which focuses on collection and analysis of quantitative data to solve problems and identify opportunities for improvement. There will be an emphasis on pre-election forecasting for planning purposes as well as post-election auditing of election results.
Identify sources of data in the election process.
Examine different methods to obtain data that informs policy decisions and administrative processes based on voting behavior and the architecture of voting systems.
Use data to forecast turnout and other Election Day events to assist with pre-election planning.
Apply data analysis techniques to post-election reviews as part of continuous improvement.
Illustrate the story of an election by presenting data in a meaningful and persuasive way. - Textbooks:
- https://bookstores.umn.edu/course-lookup/66871/1183
- Past Syllabi:
- http://classinfo.umn.edu/syllabi/tpatrick_PA3982_Spring2019.pdf (Spring 2019)
- Instructor Supplied Information Last Updated:
- 21 February 2017
Spring 2017 | PA 5982 Section 001: Data Analysis for Election Administration (70112)
- Instructor(s)
- Class Component:
- Lecture
- Credits:
- 2 Credits
- Grading Basis:
- Student Option No Audit
- Instructor Consent:
- No Special Consent Required
- Instruction Mode:
- Completely Online
- Class Attributes:
- Online Course
- Times and Locations:
- Regular Academic Session01/17/2017 - 05/05/2017Off CampusVirtual Rooms ONLINEONLY
- Also Offered:
- Course Catalog Description:
- Evidence-based election administration. Collection and analysis of quantitative data to solve problems and identify opportunities for improvement. Emphasis on pre-election forecasting for planning purposes and post-election auditing of election results.
- Class Notes:
- http://classinfo.umn.edu/?tpatrick+PA5982+Spring2017
- Class Description:
- This course will highlight the importance of evidence-based election administration, which focuses on collection and analysis of quantitative data to solve problems and identify opportunities for improvement. There will be an emphasis on pre-election forecasting for planning purposes as well as post-election auditing of election results.
Identify sources of data in the election process.
Examine different methods to obtain data that informs policy decisions and administrative processes based on voting behavior and the architecture of voting systems.
Use data to forecast turnout and other Election Day events to assist with pre-election planning.
Apply data analysis techniques to post-election reviews as part of continuous improvement.
Illustrate the story of an election by presenting data in a meaningful and persuasive way. - Textbooks:
- https://bookstores.umn.edu/course-lookup/70112/1173
- Past Syllabi:
- http://classinfo.umn.edu/syllabi/tpatrick_PA3982_Spring2019.pdf (Spring 2019)
- Instructor Supplied Information Last Updated:
- 21 February 2017
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