POLSCI 798 - Advanced Topics in Quantitative Methodology
Winter 2021, Section 001
Instruction Mode: Section 001 is  Online (see other Sections below)
Subject: Political Science (POLSCI)
Department: LSA Political Science
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Details

Credits:
4
Waitlist Capacity:
99
Advisory Prerequisites:
POLSCI 699 or equivalent and graduate standing.
Repeatability:
May not be repeated for credit.
Primary Instructor:

Description

This course is designed to introduce students to modern Bayesian data analysis with emphasis on applications in political science. While the course is largely an applied course, it is intended to teach students modeling and computational tools so that they will be able to develop new models for analyzing original data in future research. Topics covered include Bayesian regression models, item response theory models, topic models, sampling methods, approximate Bayesian inference, and Bayesian nonparametrics. Prerequisites are POLSCI 599 and 699, or familiarity with basic mathematical statistics and regression analysis equivalent to these cours

Schedule

POLSCI 798 - Advanced Topics in Quantitative Methodology
Schedule Listing
001 (SEM)
 Online
29124
Open
18
 
-
MW 4:00PM - 5:30PM
002 (DIS)
 Online
29572
Open
18
 
-
W 6:00PM - 7:00PM

Textbooks/Other Materials

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Syllabi

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CourseProfile (Atlas)

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CourseProfile (Atlas)