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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
- 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.
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