Fall 2024 Courses
Important Dates
First day of classes: Monday, August 26, 2024
No classes (Labor Day): Monday, September 2, 2024
Add/Drop/Audit deadline: Monday, September 23, 2024
Course withdraw deadline ("W" on transcripts): Monday, November 11, 2024
No BST classes (Thanksgiving): Wednesday, November 27 - Friday, November 29, 2024
Last day of classes: Monday, December 9, 2024
Final exam period: Friday, December 13 - Wednesday, December 18, 2024
Faculty grading deadline: Friday, December 27, 2024
Course Offerings
| Course |
Course Title |
Credits |
Days |
Times |
Location |
Instructor |
| BST 401 |
Probability Theory |
4 |
Tuesdays & Thursdays |
9:10 am - 10:50 am |
SRB 1.404 |
Changyong Feng |
| BST 411 |
Statistical Inference I |
4 |
Tuesdays & Fridays |
11:00 am - 12:40 pm |
SRB 1.404 |
Abdus Wahed |
| BST 430 |
Introduction to Statistical Computing |
4 |
Mondays & Wednesdays |
11:00 am - 12:40 pm |
SRB 1.402 |
Tanzy Love |
| BST 432 |
High Dimensional Data Analysis |
4 |
Tuesdays, Thursdays, & Fridays |
Tuesdays & Thursdays: 1:30 pm - 2:45 pm. Fridays: 12:10 pm - 1:00 pm. |
Tuesdays & Thursdays: SRB 1.406. Fridays: SRB 1.402. |
Michael Sohn |
| BST 461 |
Biostatistical Methods I |
4 |
Mondays & Wednesdays |
1:30 pm - 3:10 pm |
SRB 1.402 |
Mike McDermott & Tongtong Wu |
| BST 463 |
Introduction to Biostatistics |
3 |
Mondays & Wednesdays |
10:00 am - 11:15 am |
SRB 1.412 |
Hongmei Yang |
| BST 479 |
Generalized Linear Models |
4 |
Mondays, Wednesdays, & Fridays |
Mondays: 11:00 am - 12:10 pm. Wednesdays: 11:00 am - 12:00 pm. Fridays: 10:50 am - 12:00 pm. |
Mondays: SRB 1.404. Wednesdays & Fridays: SRB 1.410. |
Derick Peterson |
| BST 487 |
Seminar in Statistical Literature |
1 |
Wednesdays |
3:30 pm - 4:45 pm |
SRB 1.402 |
Mike McDermott |
| BST 516 |
Causal Inference |
4 |
Tuesdays & Thursdays |
11:00 am - 12:40 pm |
SRB 1.410 |
Ashkan Ertefaie |
| BST 550 |
Topics in Data Analysis: Neural Responses to Natural Stimuli |
4 |
Tuesdays & Thursdays |
9:10 am - 10:50 am |
SRB 1.402 |
Sam Norman-Haignere |
For students matriculated in the Department of Biostatistics and Computational Biology
BST 590 - Supervised Teaching
BST 591 - Reading Course at the PhD Level*
BST 592 - Supervised Statistical Consulting
BST 595 - Research at the PhD Level
BST 999 - Doctoral Dissertation
* maximum of 6 credits per BST 591 course
Please direct questions to: URBiostat@urmc.rochester.edu
Last updated: August 22, 2024