Expanded Descriptions

Please note that some of the expanded descriptions are still being updated.

Graduate Level Courses (200-299)

200A. Introduction to Probability Theory
200B. Introduction to Mathematical Statistics I
200C. Introduction to Mathematical Statistics II
201. SAS Programming for Statistical Analysis
205. Statistical Methods for Research with SAS
206. Statistical Methods for Research I
207. Statistical Methods for Research II
208. Statistical Methods in Machine Learning
222. Biostatistics: Survival Analysis
223. Biostatistics: Generalized Linear Models 
224. Analysis of Longitudinal Data 
225. Clinical Trials 
226. Statistical Methods for Bioinformatics
231A. Mathematical Statistics I
231B. Mathematical Statistics II
231C. Mathematical Statistics III
232A. Applied Statistics I
232B. Applied Statistics II
232C. Applied Statistics III
233. Design of Experiments
235A. Probability Theory
235B. Probability Theory
235C. Probability Theory
237A. Time Series Analysis
237B. Time Series Analysis
238. Theory of Multivariate Analysis
240A. Nonparametric Inference
240B. Nonparametric Inference
241. Asymptotic Theory of Statistics
242. Introduction to Statistical Programming
243. Computational Statistics
250. Topics in Applied and Computational Statistics
251. Topics in Statistical Methods and Models
252. Advanced Topics in Biostatistics
260. Statistical Practice and Data Analysis 
280. Orientation to Statistical Research
290. Seminar in Statistics

Professional Courses (300-399)

390. Methods of Teaching Statistics
396. Teaching Assistant Training Practicum