Ph.D. Tracks Integrating Social Sciences and Statistics

Registration and Auditing of CSSS Courses for UW Students,
UW Employees (Faculty, Staff, other) and Non-UW Individuals

CSSS Course List 2008-09

UW Course Descriptions and Time Schedule

CSSS Course Catalog

Autumn Quarter 2008

CS&SS 481

Introduction to Mathematical Statistics (5)

Day: MWF

Time: 9:30-10:50am (MW)

         12:30-1:20pm (F) (QZ AA)

         1:30-2:20pm (F) (QZ AB)

Room: CMU 230 (MW)

           CDH 223B (F)

Instructor: Thomas Richardson

Prerequisites: STAT/ECON 311; either MATH 136 or MATH 126 with either MATH 308 or MATH 309.

Recommended: MATH 324.

Probability, generating functions; the d-method, Jacobians, Bayes theorem; maximum likelihoods, Neyman-Pearson, efficiency, decision theory, regression, correlation, bivariate normal. (Credit allowed for only one of 390, 481, and ECON 580.)

Offered jointly with ECON/STAT 481.

CS&SS 526

Structural Equation Models for the Social Sciences (3)

Day: TTh

Time: 3:00-4:50pm

Room: MEB 243

Instructor: Jerald R. Herting

Prerequisites: SOC 504, SOC 505, SOC 506 or equivalent.

Recommended: CS&SS 505 and CS&SS 506, or equivalent.

Structural equation models for the social sciences, including specification, estimation, and testing. Topics include path analysis, confirmatory factor analysis, linear models with latent variables, MIMIC models, non-recursive models, models for nested data. Emphasizes applications to substantive problems in the social sciences.

Offered jointly with SOC 529.

CS&SS 536

Log-Linear Modeling and Logistic Regression for the Social Sciences (3)

Day: TTh

Time: 1:30-2:50pm

Room: FSH 109

Instructor: Adrian Dobra

Prerequisites: SOC 424, SOC 425, SOC 426, or equivalent.

Recommended: CS&SS 505 and CS&SS 506.

Analysis of categorical data in the social sciences. Binary, ordered, and multinomial outcomes, event counts, and contingency tables. Focuses on maximum likelihood estimations and interpretations of results.

Offered jointly with SOC 536/STAT 536.

CS&SS 567

Statistical Analysis of Social Networks (4)

Day: TTh

Time: 2:30-3:50pm

Room: JHN 026

Instructor: Mark S. Handcock

Prerequisites: SOC 504-505-506, or equivalent.

Recommended: CS&SS 505-506 or equivalent.

Statistical and mathematical descriptions of social networks. Topics include graphical and matrix representations of social networks, sampling methods, statistical analysis of network data, and applications.

Offered jointly with STAT 567.

CS&SS 590

CSSS Seminar (1)

Day: W

Time: 12:30-1:20pm

Room: DEN 401

Instructor: Adrian Dobra

This course offers a stimulating intellectual interaction among faculty and students by running a dynamic seminar series featuring presentations of ongoing social science research that involves cutting edge statistical methods.