Courses

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 2014-15

UW Course Descriptions and Time Schedule

CSSS Course Catalog

Fall Quarter 2014

CS&SS 221
Statistical Concepts and Methods for the Social Sciences (5) NW, QSR
Day: MTWThF
Time: 9:30-10:20am (MWF)
Room: EEB 105
         8:30-9:20pm (TTh) (QZ AA), DEN 302
         9:30-10:20pm (TTh) (QZ AB), DEN 302
         8:30-9:20pm (TTh) (QZ AC), JHN 022
         9:30-10:20pm (TTH) (QZ AD), JHN 022
         8:30-9:20pm (TTh) (QZ AE), LOW 201
         9:30-10:20pm (TTH) (QZ AF), LOW 201
Instructor: Kyle Crowder
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 221, STAT 311, STAT 221/CS&SS 221/SOC 221, and ECON 311.)
Offered jointly with SOC 221/STAT 221.

CS&SS 321
Case-based Social Statistics 1 (5) I&S, QSR
Day: MTWThF
Time: 10:30-11:20am
Room: MGH 044
         10:30-11:20am (MWF), SAV 409
         10:30-11:20am (T), SAV 409
         10:30-11:20am (Th), SAV 409
Instructor: Tyler McCormick
Introduction to statistical reasoning for social scientists. Built around cases representing in-depth investigations into the nature and content of statistical and social-science principles and practice. Hands-on approach: weekly data-analysis laboratory. Fundamental statistical topics: measurement, exploratory data analysis, probabilistic concepts, distributions, assessment of statistical evidence.
Offered jointly with SOC 321/STAT 321.
 
CS&SS 509
Introduction to Mathematical Statistics: Econometrics I (5) NW
Day: TThF
Time: 1:30-2:50pm
Room: JHN 075
         1:30-2:50pm (TTh), JHN 075
         12:30-1:20pm (F), CMU 228
         1:30-2:20pm (F), CMU 326
Instructor: Caren Marzban
Prerequisites: POL S/CS&SS 501; POL S/CS&SS 503.
Examines methods, tools, and theory of mathematical statistics. Covers, probability densities, transformations, moment generating functions, conditional expectation. Bayesian analysis with conjugate priors, hypothesis tests, the Neyman-Pearson Lemma. likelihood ratio tests, confidence intervals, maximum likelihood estimation, Central limit theorem, Slutsky Theorems, and the delta-method. (Credit allowed for only one of STAT 390, STAT 481, and ECON 580.)
Prerequisite: STAT 311/ECON 311; either MATH 136 or MATH 126 with either MATH 308 or MATH 309; recommended: MATH 324.
Offered jointly with ECON 580/STAT 509.

CS&SS 510
Maximum Likelihood Methods for the Social Sciences (5)
Day: TThF
Time: 4:30-5:50pm
Room: SAV 264
         4:30-5:50pm (TTh), SAV 264
         3:30-5:20pm (F), SAV 117
Instructor: Christopher Adolph
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 POL S 510.

CS&SS 536
Analysis of Categorical Data (3)
Day: MWF
Time: 2:30-3:20pm
Room: THO 325
Instructor: Adrian Dobra
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.
Prerequisite: SOC 504, SOC 505, SOC 506, or equivalent; recommended: CS&SS 505 and CS&SS 506, or equivalent. Offered jointly with SOC 536/STAT 536.

CS&SS 589
Multivariate Data Analysis for the Social Sciences (4, max 8)
Day: TTh
Time: 1:30-2:50pm
Room: AND 010
Instructor: Elena Erosheva
Provides social scientists with an introduction to multivariate analysis techniques and the knowledge to carry them out. Focuses on statistical methods that explore relationships between observed variables. Topics include principal components, cluster, factor, latent class analysis.
Prerequisite: SOCWL 587, SOCWL 588, or equivalent.
Offered jointly with SOC WL 589.

CS&SS 590
CSSS Seminar (1, max 20)
Day: W
Time: 12:30-1:20pm
Room: SAV 409
Instructor: Jeff Arnold
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.