Course  Number  Instructor  Time 
Introduction to Statistics  101a106a  Jonathan ReuningScherer and staff  Tues, Thurs 1:00  2:15 
Statistics as a Way of Knowing  129a  Nelson Donegan  Tues, Thurs 11:30  12:45 
Optimization and Convexity  237a  Mokshay Madiman  Mon, Wed 1:00  2:15 
Probability and Statistics for Scientists  238a/538a  Joseph Chang  Mon, Wed, Fri 2:303:20 
Probability Theory with Applications  241a/541a  Harrison Zhou  Mon, Wed, Fri 9:30  10:20 
Linear Models  312a/612a  Hannes Leeb  Tues, Thurs 9:0010:15 
Data analysis  361a/661a  Lisha Chen and Jay Emerson  Mon, Wed 2:30  3:45 
Statistical Inference  610a  Hannes Leeb  Tues, Thurs 10:3011:45 
Statistical Case Studies  625a  Jay Emerson and Lisha Chen  Mon, Wed 10:30  11:45 
Topics in Bayesian Inference and Data Analysis  654a  Joseph Chang  Wed, Fri 9:00  10:15 
Probabilistic Networks, Algorithms, and Applications.  667a  Sekhar Tatikonda  Tues, Thurs 1:00  2:15 
Information and Statistics  669a  Andrew Barron and Mokshay Madiman  Tues, Thurs 4:00  5:15 
Introductory Statistics
 100b/500b 
Jay Emerson

Mon, Wed, Fri 10:30  11:20

Introductory Data Analysis  230b/530b  Joseph Chang  Mon, Wed 2:30  3:45 
Theory of Statistics  242b/542b  Harrison Zhou  Mon, Wed, Fri 9:30  10:20 
Stochastic Processes  251b/551b  Andrew Barron  Mon, Wed 1:00  2:15 
Information theory  364b/664b  Sekhar Tatikonda  Tues, Thurs 9:00  10:15 
Data Mining and Machine Learning  365b/665b  Lisha Chen  Mon, Wed 11:30  12:45 
Applied Math Senior Seminar and Project  AM490b  Andrew Barron  Wed 1:00  2:50 
Advanced Probability  600b/330b  David Pollard  Tues, Thurs 2:30  3:45 
Probability Coupling  602b  David Pollard  TBA 
Statistical Decision Theory  619b  Harrison Zhou and Andrew Barron  TBA 
Practical Work  626b  Jay Emerson  TBA 
Statistical Methods in Genetics and Bioinformatics  645b  Hongyu Zhao  Tues, Thurs 2:303:45 (tentative) 
Multivariate Statistics for Social Sciences  660b  Jonathan ReuningScherer  Tues, Thurs 1:00  2:15 
Statistical Consulting  627ab  Jay Emerson  Friday 2:30  4:30 
Independent Study  690ab  Staff   
Internship in Statistical Research  695ab  Jay Emerson   
Research Seminar in Statistics  699ab  Sekhar Tatikonda and David Pollard  TBA 
Departmental Seminar  700ab    Monday 4:15  5:30 
Stochastic Calculus  603a    not taught this year 
Markov Processes and Random Fields  606b    not taught this year 
Inequalities for Probability and Statistics  607b    not taught this year 
Monte Carlo Methods  636a    not taught this year 
Bayes Theory  653a    not taught this year 
Information and Probability  668a    not taught this year 
Analysis of Spatial and Time Series Data  674a    not taught this year 
Nonparametric Statistics  680b    not taught this year 