POLSCI 688 - Selected Topics in Political Science
Section: 006 Bayesian Inference for the Social Sciences
Term: WN 2018
Subject: Political Science (POLSCI)
Department: LSA Political Science
Credits:
3
Waitlist Capacity:
20
Advisory Prerequisites:
Graduate standing.
Repeatability:
May be repeated for credit.
Primary Instructor:

This course is designed to introduce students to modern Bayesian data analysis with emphasis on model building and computing. The course is largely an applied course. While we will spend some time with formal arguments and derivations of key results, the majority of the class time will be spent dealing with the practice of data analysis from a Bayesian perspective.

Course Requirements:

Knowledge of basic probability theory, some experience with computing using R (or willingness to learn on the fly), and a willingness to work hard and learn by doing.

Intended Audience:

Graduate students in social science disciplines

Class Format:

Lecture

POLSCI 688 - Selected Topics in Political Science
Schedule Listing
001 (SEM)
P
21704
Open
15
 
-
W 2:00PM - 4:00PM
002 (SEM)
P
23459
Open
15
 
-
W 4:00PM - 6:00PM
003 (SEM)
P
26962
Open
15
 
-
M 9:00AM - 12:00PM
004 (SEM)
P
23527
Open
15
 
-
W 1:00PM - 3:30PM
005 (SEM)
P
25788
Open
15
 
-
Tu 2:00PM - 5:00PM
006 (SEM)
P
26963
Open
20
 
-
Tu 12:00PM - 2:00PM
007 (SEM)
P
27853
Open
15
 
-
M 4:00PM - 6:00PM
008 (SEM)
P
32534
Open
15
 
-
M 6:30PM - 8:30PM
NOTE: Data maintained by department in Wolverine Access. If no textbooks are listed below, check with the department.


ISBN: 0470011548
Bayesian analysis for the social sciences, Author: Simon Jackman., Publisher: Wiley 2009
Required
ISBN: 1439840954
Bayesian data analysis, Author: Andrew Gelman ... [et al.]., Publisher: Chapman & Hall/CRC 3rd ed. 2011
Optional
ISBN: 0387212396
Monte Carlo statistical methods, Author: Christian P. Robert ; George Casella., Publisher: Springer 2. ed. 2004
Optional
Syllabi are available to current LSA students. IMPORTANT: These syllabi are provided to give students a general idea about the courses, as offered by LSA departments and programs in prior academic terms. The syllabi do not necessarily reflect the assignments, sequence of course materials, and/or course expectations that the faculty and departments/programs have for these same courses in the current and/or future terms.

Click the button below to view historical syllabi for POLSCI 688 (UM login required)

View Historical Syllabi
The CourseProfile (ART) system, supported by the U-M Provost’s 3rd Century Initiative through a grant to the Digital Innovation Greenhouse, provides additional information about: course enrollments; academic terms and instructors; student academic profiles (school/college, majors), and previous, concurrent, and subsequent course enrollments.

CourseProfile (ART)