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 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

ClassInfo Links - Spring 2022 Public Affairs Classes

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