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

Spring Quarter 2008

CS&SS 322

Case-Based Social Statistics II (5)

Day: MTWThF

Time: 10:30-11:20am

Room: LOW 102

Instructor: Sibel Sirakaya

Continuation of CS&SS/SOC/STAT 321. Progresses to questions of assessing the weight of evidence and more sophisticated models including regression-based methods. Built around cases investigating the nature and content of statistical principles and practice. Hands-on approach: weekly data analysis laboratory.

Offered jointly with SOC/STAT 322.

CS&SS 503

Advanced Quantitative Political Methodology (5)

Day: MF

Time: 4:30-7:20pm (M)
         1:30-2:20pm (F)

Room: JHN 022 (M)
           SMI 220 (F)

Instructor: Michael D. Ward

Prerequisites: POL S 500, POL S 501.

Theory and practice of likelihood inference. Topics covered include probability modeling, maximum likelihood estimation, models for binary responses, count models, sample selection, and basis time series analysis.

Offered jointly with POL S 503.

CS&SS 505

Review of Mathematics for Social Scientists (1)

Day: T

Time: 12:30-1:20pm

Room: DEN 206

Instructor: Adrian E. Raftery

Reviews basic mathematical skills needed for a meaningful understanding of elementary statistics, data analysis, and social science methodology. Overview of core knowledge required for graduate courses in quantitative methods in social sciences. Topics include discrete mathematics, differential and integral calculus, review of matrix algebra, and basic probabilistic and statistical concepts.

CS&SS 507

Methodology: Quantitative Techniques in Sociology (3) I&S

Day: MWF

Time: 1:30-3:20pm (MW)
         1:30-2:20pm (F)

Room: CDH 223B (MW)
           CDH 223C (F)

Instructor: Lowell Hargens

Applied regression analysis with emphasis on interactive computer graphics techniques and interpretation. Application to typical sociological problems.

Offered jointly with SOC 506.

CS&SS 527

Survey Research Methods (4)

Day: MW

Time: 10:00am-11:50pm

Room: FSH 109

Instructor: Diane Martin

Prerequisites: Either HSERV 511-513; BIOST 517 -518; or EPI 512-513, which may be taken concurrently.

Provides students with skills in questionnaire development and survey methods. Develop a questionnaire and design a survey research proposal on a health-related or social topic.

Offered jointly with HSERV 527, permission of instructor is required, and students should have a survey project in mind prior to registration.

CS&SS 536

Analysis of Categorical and Count Data (3)

Day: WF

Time: 2:30-3:50pm

Room: PAR 106

Instructor: Tamas Rudas

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

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

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 544

Event History Analysis for the Social Sciences (5)

Day: TTh

Time: 1:30-3:20pm

Room: DEN 217

Instructor: Darryl Holman

Examines life course research using event-history analysis with applications to the substantive areas of household dynamics, family formation and dissolution, marriage, cohabitation, and divorce, migration histories, residential mobility, and housing careers. Examines continuous- and discrete-time longitudinal models during practical laboratory sessions.

Offered jointly with GEOG 544.

CS&SS 564

Bayesian Statistics for the Social Sciences (4)

Day: MWF

Time: 2:30-3:20pm

Room: EEB 031

Instructor: Adrian E. Raftery

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

Recommended: CS&SS 505-506 or equivalent.

Statistical methods based on the idea of probability as a measure of uncertainty. Topics covered include subjective notion of probability, Bayes' Theorem, prior and posterior distributions, and data analysis techniques for statistical models.

Offered jointly with STAT 564.

CS&SS 567

Statistical Analysis of Social Networks (4)

Day: TTh

Time: 1:30-2:50pm

Room: SMI 311

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.