POLSCI 599 - Statistical Methods in Political Research I
Fall 2021, 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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Advisory Prerequisites:
Graduate standing; concurrent election of POLSCI 514 is strongly recommended.
May not be repeated for credit.
Primary Instructor:


This is the first course of the Political Science graduate methods sequence to provide students with the foundations in statistics that will be required in the subsequent courses of the sequence. Topics covered include probability spaces, random variables, expected values and moments, sampling distributions, hypothesis testing and confidence intervals, limit theorems, and the maximum likelihood estimation. The course prerequisites are calculus and linear algebra equivalent to the Political Science Math Camp, and proficiency in the statistical programming language R or concurrent enrollment in POLSCI 514. Also, students are strongly encouraged to enroll concurrently in POLSCI 598. A previous background in statistics is useful but not required.

Course Requirements:

Weekly problem sets and a take-home final exam.

Intended Audience:

Graduate students in the Political Science Ph.D. program. Students in other programs may take the course with the instructor's permission if seating is available.

Class Format:

Two lectures per week for an hour and a half each, and a section taught by a GSI that meets once a week.


POLSCI 599 - Statistical Methods in Political Research I
Schedule Listing
001 (SEM)
 In Person
002 (LAB)
 In Person

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