Spring 2024 Political Science GU4726 section 001

QUANT METH 4 TOPICS IN METHODS

QUANT METH 4 TOPICS IN ME

Call Number 13234
Day & Time
Location
TR 8:40am-9:55am
303 Uris Hall
Points 4
Grading Mode Standard
Approvals Required None
Instructor Andrew Gelman
Type LECTURE
Method of Instruction In-Person
Course Description

This course is the fourth course in the graduate-level sequence on quantitative political methodology offered in the Department of Political Science. Students will learn a variety of advanced topics in quantitative methods for descriptive and causal inference, such as simulated-data experimentation, statistical graphics, experimental design, Bayesian inference, multilevel modeling, ideal-point and measurement-error models, and time/spatial/network models.  This course builds on the materials covered in POLS 4700, 4720, 4722, and 4724, or their equivalent courses (i.e., probability, statistics, linear regression, logistic regression, causal inference with observational and experimental data, and knowledge of the statistical computing environment R).

Web Site Vergil
Department Political Science
Enrollment 6 students (60 max) as of 9:05PM Friday, December 13, 2024
Subject Political Science
Number GU4726
Section 001
Division Interfaculty
Note Co-requisite: POLS GU4727
Section key 20241POLS4726W001