6 classes matched your search criteria.

Spring 2022  |  PA 5982 Section 001: Data Analysis for Election Administration (58975)

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 Session
 
01/18/2022 - 05/02/2022
Off Campus
Virtual Rooms ONLINEONLY
Enrollment Status:
Open (0 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/58975/1223
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 Session
 
09/08/2020 - 12/16/2020
Off Campus
Virtual 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 Session
 
01/21/2020 - 05/04/2020
Off Campus
Virtual 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 Session
 
01/22/2019 - 05/06/2019
Off Campus
Virtual 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 Session
 
01/16/2018 - 05/04/2018
Off Campus
Virtual 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 Session
 
01/17/2017 - 05/05/2017
Off Campus
Virtual 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

ClassInfo Links - Public Affairs Classes

To link directly to this ClassInfo page from your website or to save it as a bookmark, use:
http://classinfo.umn.edu/?subject=PA&catalog_nbr=5982
To see a URL-only list for use in the Faculty Center URL fields, use:
http://classinfo.umn.edu/?subject=PA&catalog_nbr=5982&url=1
To see this page output as XML, use:
http://classinfo.umn.edu/?subject=PA&catalog_nbr=5982&xml=1
To see this page output as JSON, use:
http://classinfo.umn.edu/?subject=PA&catalog_nbr=5982&json=1
To see this page output as CSV, use:
http://classinfo.umn.edu/?subject=PA&catalog_nbr=5982&csv=1