Course | OLD | NEW | Instructor | Time | Room |
Introduction to Statistics |
101a-106a/501a-506a |
- |
Jonathan Reuning-Scherer and Staff |
Tues, Thurs 1:00-2:15 |
OML 202 |
Introduction to Statistics (1/2 credit) |
109a |
- |
Jonathan Reuning-Scherer and Staff |
Tues, Thurs 1:00-2:15 |
OML 202 |
An Introduction to R for Statistical Computing and Data Science (1/2 credit) |
new course |
110a/510a |
John Emerson |
Tues, Thurs 9:00-10:15 |
TEAL (HLH17 101) |
Data Exploration and Analysis |
230a/530a/PLSC 530a |
new title |
Susan Wang |
Tues, Thurs 9:00-10:15 |
DL 220 |
Probability and Statistics |
238a/538a |
- |
Joe Chang |
Tues, Thurs 1:00-2:15 |
ML 211 |
Probability Theory with Applications |
241a/541a/MATH 241a |
- |
Winston Lin |
Mon, Wed 9:00-10:15 |
Davies Aud |
Computational Tools for Data Science |
262a |
262a/562a |
Sahand Negahban |
Tues, Thurs 2:30-3:45 |
DL 220 |
Linear Models |
312a/612a |
- |
Joe Chang |
Mon, Wed 11:35-12:50 |
WTS A60 |
Statistical Case Studies |
325a/625a |
625a |
Susan Wang |
Mon, Wed 1:00-2:15 |
WTS A74 |
Applied Data Mining and Machine Learning |
new iteration |
365a/565a |
John Lafferty |
Tues, Thurs 9:00-10:15 |
WLH 201 |
Neural Nets |
new course |
670a |
Andrew Barron |
Wed 9:00-11:15 |
24 HH Room 107 |
Statistical Inference |
610a |
410a/610a |
Harrison Zhou |
Tues, Thurs 11:35-12:50 |
24 Hillhouse Rm 107 |
Optimization Techniques |
ENAS 530 |
430a/630a/ENAS 530a/EENG 437a/ECON 413a |
Sekhar Tatikonda |
Tues, Thurs 1:00-2:15 |
WLH 117 |
Individual Studies |
480ab |
|
Staff |
- |
- |
Practical Work |
626b |
- |
John Emerson |
- |
- |
Statistical Consulting |
627ab |
627a/628b |
John Emerson |
Fri 2:30-4:30 |
24 Hillhouse Rm 107 |
Independent Study or Topics Course |
690ab |
|
DGS |
- |
- |
Research Seminar in Probability |
699ab |
|
Sekhar Tatikonda and David Pollard |
Fri 11:00-1:00 |
24 Hillhouse Rm 107 |
Departmental Seminar |
700ab |
|
- |
Mon 4:15-5:30 |
24 Hillhouse Rm 107 |
Introductory Statistics |
100b/500b |
- |
John Emerson |
Mon, Wed, Fri 10:30-11:20 |
TBA |
Intensive Introductory Statistics and Data Science |
new course |
220b/520b |
Joe Chang |
Tues, Thurs 9:00-10:15 |
TBA |
Data Exploration and Analysis |
230b/530b/PLSC 530b |
new title |
Jonathan Reuning-Scherer |
Tues, Thurs 9:00-10:15 |
TBA |
Theory of Statistics |
242b/542b |
- |
Andrew Barron |
Mon, Wed, Fri 9:25-10:15 |
TBA |
Stochastic Processes |
251b/551b |
351b/551b |
Sahand Negahban |
Mon, Wed 1:00-2:15 |
TBA |
Advanced Probability |
330b/600b/MATH 330b |
400b/600b/MATH 330b |
David Pollard |
Tues, Thurs 2:30-3:45 |
24 Hillhouse Rm 107 |
Data Analysis |
361b/661b |
- |
Winston Lin |
Mon, Wed 2:30-3:45 |
TBA |
Multivariate Statistics for Social Sciences |
363b/660b |
363b/563b |
Jonathan Reuning-Scherer |
Tues, Thurs 1:00-2:15 |
KRN 301 |
Applied Data Mining and Machine Learning |
365b/665b |
365b/565b |
Susan Wang |
Mon, Wed 11:35-12:50 |
SCL 160 |
Statistical Learning Theory |
669b |
469b/669b |
Sahand Negahban |
Mon, Wed, 2:30-3:45 |
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 9:25-11:15 |
24 Hillhouse Rm 107 |
Statistical Methods in Genetics and Bioinformatics |
645b |
offered? |
Hongyu Zhao |
Thurs 1:00-2:50 |
LEPH 102 |
Statistical Computing |
662b |
- |
John Emerson |
Tues, Thurs 9:00-10:15 |
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 2:30-3:45 |
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 | - |