Course  Number  Instructor  Time 
Introduction to Statistics  101a106a/501a506a  Jonathan ReuningScherer and Staff  Tues, Thurs 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/MATH 241a  Balaji Raman  Mon, Wed, Fri 9:25  10:15 
Theory of Statistics  542a  Andrew Barron  Mon, Wed, 1:00  2:15 
Linear Models  312a/612a  Balaji Raman  Tues, Thurs 9:0010:15 
Data analysis  361a/661a  John Emerson  Mon, Wed 2:30  3:45 
Applied Math Senior Seminar and Project  AM490a  Andrew Barron  Wed, 3:30  5:20 
Statistical Inference  610a  Mokshay Madiman  Tues, Thurs 10:3011:45 
Statistical Case Studies  625a  Jay Emerson  Mon 11:00  12:15; Fri 10:30  1:00 pm 
Probabilistic Networks, Algorithms, and Applications  667a  Sekhar Tatikonda  Tues, Thurs 1:002:15 
Nonparametric Statistics  680a  Harrison Zhou  Thurs, 3:30  5:30 
Statistical Consulting  627ab  Jay Emerson (Fall); John Hartigan (Spring)  Friday 2:30  4:30 
Independent Study  690ab  Staff   
Internship in Statistical Research  695ab  Andrew Barron   
Research Seminar in Statistics  699ab  Sekhar Tatikonda and David Pollard  Friday 10:30 12:30 
Departmental Seminar  700ab    Monday 4:15  5:30 
Introductory Statistics
 100b/500b 
Balaji Raman

Mon, Wed, Fri 10:3011:20

Introductory Data Analysis  230b/530a/PLSC 530b  Jonathan ReuningScherer  Tues, Thurs 2:30  3:45 
Theory of Statistics  242b/542b  Mokshay Madiman  Mon, Wed, Fri 9:25  10:15 
Stochastic Processes  251b/551b  Balaji Raman  Mon, Wed 1:00  2:15 
Advanced Probability  330b/600b  David Pollard  Tues, Thurs 2:30  3:45 
Multivariate Statistics for Social Sciences  363b/660b  Jonathan ReuningScherer  Tues, Thurs 1:00  2:15 
Information theory  364b/664b  Mokshay Madiman  Tues, Thurs 9:00  10:15 
Data Mining and Machine Learning  365b/665b  Harrison Zhou  Mon, Wed 11:35  12:50 
Advanced Stochastic Processes  603b  David Pollard  Mon, Wed 2:303:45 
Practical Work  626b  David Pollard  TBA 
Portfolio Estimation for Compounding Wealth  678b  Andrew Barron  Tues, Thurs 10:30  11:45 
RealWorld Statistics  128b   not taught this year 
Optimization and Convexity  AMTH 237a/AMTH 537a   not taught this year 
Experimental Design  313b   not taught this year 
Statistics Senior Seminar Project  490b  David Pollard  
Asymptotics  618a   not taught this year 
Statistical Decision Theory in Modern Statistical Methodology  619b   not taught this year 
Deterministic and Stochastic Optimization  637a   not taught this year 
Statistical Methods in Genetics and Bioinformatics  645b   not taught this year 
Statistical Computing  662a   not taught this year 
Functional Data Analysis  673a   not taught this year 
Unsupervised Learning: Dimension Reduction and Clustering Analysis  675b   not taught this year 