UW Home > Discover UW > Student Guide > Course Catalog

Instructor Class Description

Time Schedule:

Michael D. Ward
POL S 510
Seattle Campus

Maximum Likelihood Methods for the Social Sciences

Introduces maximum likelihood, a more general method for modeling social phenomena than linear regression. Topics include discrete, time series, and spatial data, model interpretation, and fitting. Prerequisite: POL S 501/CS&SS 501; POL S 503/CS&SS 503. Offered: jointly with CS&SS 510; W.

Class description

Description: Theory and practice of likelihood inference for social science models, spanning binary, nominal, ordinal, count, and continuous random variables. Estimation, interpretation, and presentation of results will also be emphasized.

Student learning goals

General method of instruction

Recommended preparation

Class assignments and grading

The information above is intended to be helpful in choosing courses. Because the instructor may further develop his/her plans for this course, its characteristics are subject to change without notice. In most cases, the official course syllabus will be distributed on the first day of class.

Additional Information
Last Update by Suman C. Chhabra
Date: 11/21/2008