5 classes matched your search criteria.

Fall 2021  |  PA 3982 Section 001: Data Analysis for Election Administration (34684)

Instructor(s)
Class Component:
Lecture
Credits:
2 Credits
Grading Basis:
Student Option
Instructor Consent:
No Special Consent Required
Instruction Mode:
Completely Online
Class Attributes:
Online Course
Meets With:
PA 5982 Section 001
Times and Locations:
Regular Academic Session
 
09/08/2021
Wed 05:00PM - 06:00PM
Off Campus
UMN REMOTE
 
11/02/2021
Tue 05:00PM - 06:00PM
Off Campus
UMN REMOTE
 
11/30/2021
Tue 05:00PM - 06:00PM
Off Campus
UMN REMOTE
 
09/07/2021 - 12/15/2021
Off Campus
Virtual Rooms ONLINEONLY
Enrollment Status:
Open (4 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/?+PA3982+Fall2021
Class Description:
Student may contact the instructor or department for information.
Textbooks:
https://bookstores.umn.edu/course-lookup/34684/1219
Past Syllabi:
http://classinfo.umn.edu/syllabi/tpatrick_PA3982_Spring2019.pdf (Spring 2019)

Fall 2020  |  PA 3982 Section 001: Data Analysis for Election Administration (34060)

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 5982 Section 001
Times and Locations:
Regular Academic Session
 
09/08/2020 - 12/16/2020
Off Campus
Virtual Rooms ONLINEONLY
Enrollment Status:
Open (2 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+PA3982+Fall2020
Class Description:
Student may contact the instructor or department for information.
Textbooks:
https://bookstores.umn.edu/course-lookup/34060/1209
Past Syllabi:
http://classinfo.umn.edu/syllabi/tpatrick_PA3982_Spring2019.pdf (Spring 2019)

Spring 2020  |  PA 3982 Section 001: Data Analysis for Election Administration (57617)

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 5982 Section 001
Times and Locations:
Regular Academic Session
 
01/21/2020 - 05/04/2020
Off Campus
Virtual Rooms ONLINEONLY
Enrollment Status:
Open (1 of 9 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+PA3982+Spring2020
Class Description:
Student may contact the instructor or department for information.
Textbooks:
https://bookstores.umn.edu/course-lookup/57617/1203
Past Syllabi:
http://classinfo.umn.edu/syllabi/tpatrick_PA3982_Spring2019.pdf (Spring 2019)

Spring 2019  |  PA 3982 Section 001: Data Analysis for Election Administration (64927)

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 5982 Section 001
Times and Locations:
Regular Academic Session
 
01/22/2019 - 05/06/2019
Off Campus
Virtual Rooms ONLINEONLY
Enrollment Status:
Open (0 of 5 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+PA3982+Spring2019
Class Description:
Student may contact the instructor or department for information.
Textbooks:
https://bookstores.umn.edu/course-lookup/64927/1193
Syllabus:
http://classinfo.umn.edu/syllabi/tpatrick_PA3982_Spring2019.pdf

Spring 2018  |  PA 3982 Section 001: Data Analysis for Election Administration (70115)

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 5982 Section 001
Times and Locations:
Regular Academic Session
 
01/16/2018 - 05/04/2018
Off Campus
Virtual Rooms ONLINEONLY
Enrollment Status:
Open (1 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+Spring2018
Class Description:
Student may contact the instructor or department for information.
Textbooks:
https://bookstores.umn.edu/course-lookup/70115/1183
Past Syllabi:
http://classinfo.umn.edu/syllabi/tpatrick_PA3982_Spring2019.pdf (Spring 2019)

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