POLSCI 798 - Advanced Topics in Quantitative Methodology
Winter 2022, Section 001
Instruction Mode: Section 001 is  In Person (see other Sections below)
Subject: Political Science (POLSCI)
Department: LSA Political Science
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Waitlist Capacity:
Advisory Prerequisites:
POLSCI 699 or equivalent and graduate standing.
May not be repeated for credit.
Primary Instructor:


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.

Course Requirements:

Prerequisites are POLSCI 599 and 699, or familiarity with basic mathematical statistics and regression analysis equivalent to these courses. Evaluation will be based on a few problem sets and a final project.


POLSCI 798 - Advanced Topics in Quantitative Methodology
Schedule Listing
001 (SEM)
 In Person
M 4:00PM - 5:30PM
W 4:30PM - 6:00PM
003 (DIS)
 In Person
W 6:00PM - 7:00PM

Textbooks/Other Materials

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