Course  OLD  NEW  Instructor  Time  Room 
Introduction to Statistics 
101a106a/501a506a 
 
Jonathan ReuningScherer and Staff 
Tues, Thurs 1:002:15 
OML 202 
Introduction to Statistics (1/2 credit) 
109a 
 
Jonathan ReuningScherer and Staff 
Tues, Thurs 1:002:15 
OML 202 
An Introduction to R for Statistical Computing and Data Science (1/2 credit) 
new course 
110a/510a 
John Emerson 
Tues, Thurs 9:0010:15 
TEAL (HLH17 101) 
Data Exploration and Analysis 
230a/530a/PLSC 530a 
new title 
Susan Wang 
Tues, Thurs 9:0010:15 
DL 220 
Probability and Statistics 
238a/538a 
 
Joe Chang 
Tues, Thurs 1:002:15 
ML 211 
Probability Theory with Applications 
241a/541a/MATH 241a 
 
Winston Lin 
Mon, Wed 9:0010:15 
Davies Aud 
Computational Tools for Data Science 
262a 
262a/562a 
Sahand Negahban 
Tues, Thurs 2:303:45 
DL 220 
Linear Models 
312a/612a 
 
Joe Chang 
Mon, Wed 11:3512:50 
WTS A60 
Statistical Case Studies 
325a/625a 
625a 
Susan Wang 
Mon, Wed 1:002:15 
WTS A74 
Applied Data Mining and Machine Learning 
new iteration 
365a/565a 
John Lafferty 
Tues, Thurs 9:0010:15 
WLH 201 
Neural Nets 
new course 
670a 
Andrew Barron 
Wed 9:0011:15 
24 HH Room 107 
Statistical Inference 
610a 
410a/610a 
Harrison Zhou 
Tues, Thurs 11:3512:50 
24 Hillhouse Rm 107 
Optimization Techniques 
ENAS 530 
430a/630a/ENAS 530a/EENG 437a/ECON 413a 
Sekhar Tatikonda 
Tues, Thurs 1:002:15 
WLH 117 
Individual Studies 
480ab 

Staff 
 
 
Practical Work 
626b 
 
John Emerson 
 
 
Statistical Consulting 
627ab 
627a/628b 
John Emerson 
Fri 2:304:30 
24 Hillhouse Rm 107 
Independent Study or Topics Course 
690ab 

DGS 
 
 
Research Seminar in Probability 
699ab 

Sekhar Tatikonda and David Pollard 
Fri 11:001:00 
24 Hillhouse Rm 107 
Departmental Seminar 
700ab 

 
Mon 4:155:30 
24 Hillhouse Rm 107 
Introductory Statistics 
100b/500b 
 
John Emerson 
Mon, Wed, Fri 10:3011:20 
TBA 
Intensive Introductory Statistics and Data Science 
new course 
220b/520b 
Joe Chang 
Tues, Thurs 9:0010:15 
TBA 
Data Exploration and Analysis 
230b/530b/PLSC 530b 
new title 
Jonathan ReuningScherer 
Tues, Thurs 9:0010:15 
TBA 
Theory of Statistics 
242b/542b 
 
Andrew Barron 
Mon, Wed, Fri 9:2510:15 
TBA 
Stochastic Processes 
251b/551b 
351b/551b 
Sahand Negahban 
Mon, Wed 1:002:15 
TBA 
Advanced Probability 
330b/600b/MATH 330b 
400b/600b/MATH 330b 
David Pollard 
Tues, Thurs 2:303:45 
24 Hillhouse Rm 107 
Data Analysis 
361b/661b 
 
Winston Lin 
Mon, Wed 2:303:45 
TBA 
Multivariate Statistics for Social Sciences 
363b/660b 
363b/563b 
Jonathan ReuningScherer 
Tues, Thurs 1:002:15 
KRN 301 
Applied Data Mining and Machine Learning 
365b/665b 
365b/565b 
Susan Wang 
Mon, Wed 11:3512:50 
SCL 160 
Statistical Learning Theory 
669b 
469b/669b 
Sahand Negahban 
Mon, Wed, 2:303:45 
24 HH Room 107 
Senior Capstone: Statistical Case Studies 
new course 
425b 
Susan Wang 
TBA 
TBA 
Senior Seminar and Project 
490b 
 
Andrew Barron 
TBA 
24 Hillhouse Room 107 
Selected Topics in Statistical Decision Theory 
611b 
411b/611b 
Harrison Zhou 
Wed 9:2511:15 
24 Hillhouse Rm 107 
Statistical Methods in Genetics and Bioinformatics 
645b 
offered? 
Hongyu Zhao 
Thurs 1:002:50 
LEPH 102 
Statistical Computing 
662b 
 
John Emerson 
Tues, Thurs 9:0010:15 
17 HLH, 101 (TEAL) 
Nonparametric Estimation and Machine Learning 
new course 
468b/668b 
John Lafferty 
TBD 
24 Hillhouse Rm 107 
Design and Analysis of Algorithms 
CPSC 365 
 
Daniel Spielman 
Tues, Thurs 2:303:45 
DL 220 
Applied Linear Models 
531a 
 
not taught this year   
Probabilistic Networks, Algorithms, and Applications 
667a 
 
not taught this year   
Topological Data Analysis 
675a 
 
not taught this year   
Information Theory 
364b/664b 
 
not taught this year   
Empirical Processes 
609b 
 
not taught this year   
Experimental Design 
613b 
 
not taught this year   
Asymptotics 
618b 
 
not taught this year   
Topics in Bayesian Inference and Data Analysis 
654b 
 
not taught this year   
Applied Spatial Statistics 
674b/F&ES 781b 
 
not taught this year   