Course 
Number 
Instructor 
Time 
Statistical Consulting 
627ab 
Jay Emerson, Lisha Chen 
Friday 2:30  4:30 
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 11:35  12:50 
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 9:25  10:15 
Linear Models 
312a/612a 
David Pollard 
Tues, Thurs 9:0010:15 
Data analysis 
361a/661a 
Lisha Chen 
Mon, Wed 2:30  3:45 
Statistical Inference 
610a 
Hannes Leeb 
Tues, Thurs 10:3011:45 
Statistical Case Studies 
625a 
David Pollard 
TBA 
Deterministic and Stochastic Optimization 
637a 
Mokshay Madiman 
TBA 
Functional Data Analysis 
673a 
Harrison Zhou 
TBA 
Introductory Statistics

100b/500b 
Jay Emerson

Mon, Wed, Fri 10:30  11:20

Introductory Data Analysis 
230b/530b 
Hannes Leeb 
Mon, Wed 2:30  3:45 
Theory of Statistics 
242b/542b 
Mokshay Madiman 
Mon, Wed, Fri 9:25  10:15 
Stochastic Processes 
251b/551b 
Joseph Chang 
Mon, Wed 1:00  2:15 
Information theory 
364b/664b 
Andrew Barron 
Tues, Thurs 9:00  10:15 
Data Mining and Machine Learning 
365b/665b 
Lisha Chen 
Mon, Wed 11:35  12:50 
Applied Math Senior Seminar and Project 
AM490b 
Andrew Barron 
TBA 
Advanced Probability 
600b/330b 
David Pollard 
Tues, Thurs 2:30  3:45 
Random Matrices in Statistics 
617b 
Hannes Leeb 
TBA 
Practical Work 
626b 
Jay Emerson 
TBA 
Statistical Methods in Genetics and Bioinformatics 
645b 
Joseph Chang 
Tues, Thurs 1:002:30 
Multivariate Statistics for Social Sciences 
660b 
Jonathan ReuningScherer 
Tues, Thurs 1:00  2:15 
Independent Study 
690ab 
Staff 
 
Internship in Statistical Research 
695ab 
Jay Emerson 
 
Research Seminar in Statistics 
699ab 
Sekhar Tatikonda and David Pollard 
Wed 11:30  1:30 
Departmental Seminar 
700ab 
 
Monday 4:15  5:30 
Optimization and Convexity 
237a 

not taught this year 
Probability Coupling 
602b 

not taught this year 
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 
Statistical Decision Theory 
619b 

not taught this year 
Monte Carlo Methods 
636a 
 
not taught this year 
Bayes Theory 
653a 
 
not taught this year 
Topics in Bayesian Inference and Data Analysis 
654a 

not taught this year 
Probabilistic Networks, Algorithms, and Applications. 
667a 

not taught this year 
Information and Probability 
668a 
 
not taught this year 
Information and Statistics 
669a 

not taught this year 
Analysis of Spatial and Time Series Data 
674a 
 
not taught this year 
Nonparametric Statistics 
680b 
 
not taught this year 