Summer 2021  |  POL 3085 Section 001: Quantitative Analysis in Political Science (81419)

Instructor(s)
Class Component:
Lecture
Credits:
4 Credits
Grading Basis:
Student Option
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Class Attributes:
UMNTC Liberal Education Requirement
Online Course
Times and Locations:
Regular Academic Session
 
06/07/2021 - 07/30/2021
Tue, Thu 09:00AM - 12:00PM
UMTC, West Bank
Hanson Hall 1-106
Enrollment Status:
Open (10 of 25 seats filled)
Also Offered:
Course Catalog Description:
POL 3085 teaches students how to study politics scientifically and introduces them to how to use quantitative analysis to answer political questions. The first part of the class covers how to formulate a theory (a possible answer to a question), specify testable hypotheses (what you would see if the theory is correct or incorrect), and set up a research design to test those hypotheses. In the second part of the class, we cover quantitative data analysis, beginning from preliminary statistical analysis to multivariate linear regression. There is no mathematical or statistical background required for this course. By the end of the class, students should be able to ask and answer political questions using quantitative data and fluently evaluate statistical analyses of political phenomena in the media and many academic articles.
Class Notes:
http://classinfo.umn.edu/?eichi023+POL3085+Summer2021
Class Description:
Political Science 3085 is an upper-level undergraduate course designed to introduce you to quantitative political analysis. Political scientists use careful research design, data collection, and statistical analysis to answer questions related to voter behavior, corruption, political polarization, markets and democracy, war and peace, and plenty more. This course will give you the tools to ask and answer these types of questions. You will learn how to pose research questions and build research designs, form theories and hypotheses, and use statistical techniques and programs to test whether your hypotheses stand up to evidence. By the end of the semester, you will have a better understanding of how to design good research, consume and be critical of basic quantitative analyses, and discuss basic statistics in plain, ordinary language.
Learning Objectives:
Research design
Data analysis
Statistical programming language R
Grading:
20% Final Exam
35% Homework
35% Project and Presentation
10% Class Participation
Exam Format:
Short answer, will need access to a calculator.
Class Format:
40% Lecture
30% Lab
15% Discussion
15% Group Work
Workload:
15-page group project (includes paper and presentation)
1 Final exam
7 Homework assignments
60-80 pages reading per week
Textbooks:
https://bookstores.umn.edu/course-lookup/81419/1215
Instructor Supplied Information Last Updated:
11 February 2021

ClassInfo Links - Summer 2021 Political Science Classes

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