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

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CSSS Course List 2013-14

UW Course Descriptions and Time Schedule

CSSS Course Catalog

Spring Quarter 2014

CS&SS 221
Statistical Concepts and Methods for the Social Sciences (5)
Time: 9:30-10:20am (MWF)
Room: SAV 260 (MWF)
         8:30-9:20am (TTh) (QZ AA), THO 325
         9:30-10:20am (TTh) (QZ AB), THO 325
         8:30-9:20am (TTh) (QZ AC), THO 134
         9:30-10:20am (TTH) (QZ AD), THO 134
         8:30-9:20am (TTh) (QZ AE), DEN 302
         9:30-10:20am (TTH) (QZ AF), DEN 302
Instructor: June Morita
Develops statistical literacy. Examines objectives and pitfalls of statistical studies; study designs, data analysis, inference; graphical and numerical summaries of numerical and categorical data; correlation and regression; and estimation, confidence intervals, and significance tests. Emphasizes social science examples and cases. (Students may receive credit for only one of STAT 220, STAT 311, STAT/CS&SS/SOC 221, and ECON 311.)
Offered jointly with SOC 221/STAT 221; AWSp.

CS&SS 503
Advanced Quantitative Political Methodology (5)
Day: TF
Time: 4:30-7:20pm (T)
         1:30-3:20pm (F)
Room: EEB 031 (T)
&nbsp&nbsp&nbsp&nbsp&nbsp&nbsp&nbsp&nbsp SMI 220 (F)
Instructor: Christopher A Adolph
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: THO 325
Instructor: Adrian E. Raftery Laina Mercer
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. Credit/no-credit only.
Offered jointly with SOC 512.

CS&SS 507
Methodology: Quantitative Techniques in Sociology (3) I&S
Day: TTh
Time: 1:30-3:20pm (TTh)
Room: DEN 310
Instructor: Tyler H. McCormick
Applied regression analysis with emphasis on interactive computer graphics techniques and interpretation. Application to typical sociological problems.
Offered jointly with SOC 506.

CS&SS 526
Structural Equation Models for the Social Sciences (3)
Day: Th
Time: 5:30-7:20pm (TTh)
Room: JHN 175
Instructor: Ross Matsueda
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.
Prerequisite: SOC 504, SOC 505, SOC 506 or equivalent; recommended: either CS&SS 505 and CS&SS 506, or equivalent.
Offered: jointly with SOC 529.

CS&SS 527
Survey Research Methods (3)
Day: MW
Time: 10:30-11:50am
Room: HSR RR134
Instructor: Ali Mokdad
Provides students with skills in questionnaire development and survey methods. Develops a questionnaire and designs a survey research proposal on a health-related or social topic.
Prerequisite: either HSERV 511/HSERV 513; BIOST 517/BIOST 518; or EPI 512/EPI 513, which may be taken concurrently, or permission of instructor. Students should have a survey project in mind.
Offered: jointly with HSERV 527.

CS&SS 529
Sample Survey Techniques (3)
Day: TTh
Time: 10:30-11:50am
Room: LOW 101
Instructor: Sahar Zangeneh
Design and implementation of selection and estimation procedures. Emphasis on human populations. Simple, stratified, and cluster sampling; multistage and two-phase procedures; optimal allocation of resources; estimation theory; replicated designs; variance estimation; national samples and census materials.
Prerequisites: STAT 421, STAT 423, STAT 504, QMETH 500, BIOST 511, or BIOST 517, or equivalent; or permission of instructor
Offered: jointly with BIOST 529/STAT 529.

CS&SS 560
Hierarchical Modeling for the Social Sciences (4)
Day: MWF
Time: 9:30-10:20am
Room: SAV 409
Instructor: Peter Hoff
Explores ways in which data are hierarchically organized, such as voters nested within electoral districts that are in turn nested within states. Provides a basic theoretical understanding and practical knowledge of models for clustered data and a set of tools to help make accurate inferences.
Prerequisites: SOC 504, SOC 505, SOC 506 or equivalent; recommended: CS&SS 505, CS&SS 506 or equivalent
Offered jointly with STAT 560/SOC 560.

CS&SS 564
Bayesian Statistics for the Social Sciences (4)
Day: TTh
Time: 2:30-4:00am (TTh)
         1:30-2:20pm (W)
Room: DEN 305 (TTh)
           THO 202 (W)
Instructor: Adrian Dobra
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.
Prerequisites: SOC 504-505-506 or equivalent; recommended: CS&SS 505 or 506.
Offered jointly with STAT 564.

CS&SS 590
CSSS Seminar (1)
Day: W
Time: 12:30-1:20pm
Room: SAV 168
Instructor: Christopher Adolph
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.