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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