Tentative information about Fall 2023 Courses is posted below. Clicking on course titles will lead you to more information on the Canvas site.
The Statistics Department also offers some courses online.
Tentative information about Fall 2023 Courses is posted below. Clicking on course titles will lead you to more information on the Canvas site.
The Statistics Department also offers some courses online.
The Statistics probability course (STAT 110) is offered as an online course and is taught by Professor of the Practice Joseph Blitzstein. Joe Blitzstein has taught this course each year since 2006.
See the course on YouTube or at edX.
Fall |
Course Title
|
Instructor(s)
|
Day(s)
|
Time(s)
|
Location
|
---|---|---|---|---|---|
STAT 91r
|
Kevin Rader
|
TBD
|
TBD
|
TBD
|
|
STAT 99r
|
Tutorial - Senior Year |
Alex Young
|
TBD | TBD | TBD |
STAT 100
|
Kelly McConville
|
TBD | TBD | TBD | |
STAT 104 | Introduction to Quantitative Methods for Economics | Kevin Rader | TBD | TBD | TBD |
STAT 107
|
Introduction to Data Management | James Xenakis | TBD | TBD | TBD |
STAT 108 | Introduction to Statistical Computing with R | Kelly McConville | TBD | TBD | TBD |
STAT 109A
|
Data Science 1 |
Natesh Pillai, Pavlos Protopapas
|
TBD | TBD | TBD |
STAT 110
|
Introduction to Probability |
Joe Blitzstein
|
TBD | TBD | TBD |
STAT 116 | Biostatistics Methods and Practices | Kevin Rader | TBD | TBD | TBD |
STAT 120 | Introduction to Bayesian Inference and Applications | Samuel Kou | TBD | TBD | TBD |
STAT 139
|
Introduction to Linear Models |
James Xenakis
|
TBD | TBD | TBD |
STAT 184 | Introduction to Reinforcement Learning | Lucas Janson | TBD | TBD | TBD |
STAT 185
|
Introduction to Unsupervised Learning |
Alex Young
|
TBD | TB | TBD |
STAT 188 | Variations, Information and Privacy | Xiao-Li Meng | W | 3:00pm-5:45pm | TBD |
STAT 210
|
Probability 1 |
Joe Blitzstein
|
TBD | TBD | TBD |
STAT 211
|
Lucas Janson
|
TBD | TBD | TBD | |
STAT 216
|
Topics in high-dimensional probability |
Subhabrata Sen
|
TBD |
TBD
|
TBD |
STAT 236 | Network and Text Data Analysis | Tracy Ke | TBD | TBD | TBD |
STAT 242
|
Neil Shepard |
TBD
|
TBD | TBD | |
STAT 244
|
Linear and Generalized Linear Models | Mark Glickman | TBD | TBD | TBD |
STAT 300HFRA
|
Mark Glickman, Natesh Pillai | TBD |
TBD
|
TBD | |
STAT 301 | Special Reading and Research | All Faculty | TBD | TBD | TBD |
STAT 310HFRA
|
Topics in Astrostatistics |
Xiao-Li Meng
|
W | 12:00pm-2:45pm | TBD |
STAT 314HFRA
|
TBD | TBD | TBD | TBD | |
STAT 314HFRA
|
(314 HFRA split meeting pattern)
|
M |
12:00pm-1:15pm
|
SC 316.12 |
*SC = Science Center
*Course Schedules Tentative
Spring | Course Title | Instructor | Day(s) | Time(s) | Location |
---|---|---|---|---|---|
STAT 91r | Supervised Reading + Research | Kevin Rader | TBD | TBD | TBD |
STAT 98 | Tutorial - Junior Year | Kevin Rader | Thursdays | 3:00-5:45pm | Science Center (SC) 706 |
STAT 99r | Tutorial - Senior Year | Alex Young | Fridays | 10:30-11:45am | SC 705 |
STAT 100 | Introduction to Statistics and Data Science | Kelly McConville | M/W | 1:30-2:45pm | SC Hall C |
STAT 102 | Introduction to Statistics for Life Sciences | James Xenakis, Julie Vu | T/Th | 10:30-11:45am | SC B09 |
STAT 104 | Introduction to Quant. Methods for Econ | Kevin Rader | T/Th | 1:30-2:45pm | SC Hall D |
STAT 109B | Data Science 2: Advanced Topics in Data Science | Alex Young, Pavlos Protopapas | M/W/F | 9:45-11am | Science and Engineering Complex (SEC) 1.321 |
STAT 111 | Introduction to Statistical Inference | Joe Blitzstein, Neil Shephard | T/Th | 1:30-2:45pm | SC Hall C |
STAT 114 | Introduction to Bioinformatics and Statistical Genetics | James Xenakis | M/W | 3:00-4:15pm | SC Hall A |
STAT 117 | Data Analysis in Modern Biostatistics | Giovanni Parmigiani | T/Th | 9:00am-10:15am | SC 705 |
STAT 131 | Introduction to Time Series and Prediction | Tracy Ke | M/W | 3:00pm-4:15pm | SC 309 |
STAT 143 | Sports Analytics | Mark Glickman | M/W | 1:30-2:45pm | SC Hall A |
STAT 149 | Introduction to Generalized Linear Models | Mark Glickman | M/W | 9:00-10:15am | SC Hall A |
STAT 160 | Introduction to Survey Sampling and Estimation | Kelly McConville | M/W | 10:30-11:45am | Emerson Hall 108 |
STAT 171 | Introduction to Stochastic Processes | Subhabrata Sen | M/W | 1:30pm-2:45pm | SC Hall E |
STAT 186 | Introduction to Causal Inference | Susan Murphy | M/W | 4:30-5:45pm | SC 705 |
STAT 195 | Introduction to Supervised Learning | Pragya Sur | M/W | 1:30-2:45pm | SC 309 |
STAT 212 | Probability II | Morgane Austern | M/W | 4:30-5:45pm | SC B10 |
STAT 213 | Statistical Inference II | Pragya Sur | M/W | 1:30-2:45pm | SC 705 |
STAT 217 | Topics in High-Dimensional Statistics: Methods from Statistical Physics | Subhabrata Sen | M/W | 9:00-10:15am | SC 706 |
STAT 220 | Bayesian Data Analysis | Jun Liu | M/W | 3:00-4:15pm | SC Hall E |
STAT 234 | Sequential Decision Making | Susan Murphy | M/W | 1:30-2:45pm | SC 222 |
STAT 288 | Deep Statistics: AI and Earth Observations for Sustainable Development | Xiao-Li Meng | Tuesdays | 9:00-11:45am | SC 706 |
STAT 291 | Random High-Dimensional Optimization: Algorithms and Barriers | Mark Sellke | T/Th | 10:30-11:45am | SC 309A |
STAT 300HFRB | Research in Statistics | Tracy Ke, Mark Glickman | T/Th | 12:00-1:15pm | SC 316.12 |
STAT 301 | Special Reading and Research | All Faculty | TBD | TBD | TBD |
STAT 303HFB | The Art and Practice of Teaching Statistics | Alex Young, Mark Sellke | Tuesdays | 3:00-5:00pm | SC 706 |
STAT 305R | Statistical Consulting | Lucas Janson | TBD | TBD | TBD |
STAT 310HFRB | Topics in Astrostatistics | Xiao-Li Meng | Wednesdays | 12:00-2:45pm | SC 706 |
STAT 314HFRB | Timely Topics in Statistics | Mark Sellke | Mondays | 10:30-11:45am | SC 111 |
STAT 364 | Scalable Statistical Inference for Big Data with Applications | Xihong Lin | Mondays | 10:30-11:45am | SC 706 |
*Course Schedules Tentative
Spring 2024 Course List (pdf) - TBD