Course  Number  Instructor  Time 
Introduction to Statistics  101a106a/501a506a  Jonathan ReuningScherer and staff  Tues, Thurs 1:00  2:15 
Statistics as a Way of Knowing  129a/PSYC 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/MATH 241a  Hannes Leeb  Mon, Wed, Fri 9:25  10:15 
Theory of Statistics  242a/542a  Andrew Barron  TBA 
Linear Models  312a/612a  Hannes Leeb  Tues, Thurs 9:0010:15 
Data analysis  361a/661a  Lisha Chen  Mon, Wed 2:30  3:45 
Statistical Inference  610a  Mokshay Madiman  Tues, Thurs 10:3011:45 
Asymptotics  618a  David Pollard  TBA 
Statistical Case Studies  625a  Jay Emerson  Mon, Fri 10:30  11:45 
Statistical Computing  662a  Jay Emerson  
Unsupervised Learning: Dimension Reduction and Clustering Analysis  675a  Lisha Chen  TBA 
Statistical Consulting  627ab  Jay Emerson, Lisha Chen  Friday 2:00  4:00 
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 
Introductory Statistics
 100b/500b 
Andrew Barron

Mon, Wed, Fri 10:3011:20

RealWorld Statistics  128b  Jay Emerson  Tues, Thurs 9:0010:15 
Introductory Data Analysis  230b/530a/PLSC 530b  Staff  Mon, Wed 2:30  3:45 
Theory of Statistics  242b/542b  Harrison Zhou  Mon, Wed, Fri 9:25  10:15 
Stochastic Processes  251b/551b  David Pollard  Mon, Wed 1:00  2:15 
Information theory  364b/664b  Hannes Leeb  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  Wed 3:305:20 
Advanced Probability  600b/330b  David Pollard  Tues, Thurs 2:30  3:45 
Experimental Design  613b  Timothy Gregoire and Jonathan ReuningScherer  TBA 
Statistical Decision Theory in Modern Statistical Mehtodology  619b  Harrison Zhou  TBA 
Practical Work  626b  Jay Emerson  TBA 
Statistical Methods in Genetics and Bioinformatics  645b  Joseph Chang  Tues, Thurs 10:3011:45 
Multivariate Statistics for Social Sciences  660b  Jonathan ReuningScherer  Tues, Thurs 1:00  2:15 
Optimization and Convexity  AMTH 237a/AMTH 537a   not taught this year 
Stochastic Calculus  603a    not taught this year 
Random Matrices in Statistics  617b   not taught this year 
Deterministic and Stochastic Optimization  637a   not taught this year 
Probabilistic Networks, Algorithms, and Applications.  667a   not taught this year 
Functional Data Analysis  673a   not taught this year 