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Fall 2022 Courses

Important Dates

        First day of classes: Wednesday, August 31, 2022

        No classes (Labor Day): Monday, September 5, 2022

        Add/Drop/Audit deadline: Wednesday, September 28, 2022 (100% tuition refund deadline: September 6)

        No BST classes (Thanksgiving): Wednesday, November 23 - Friday, November 25, 2022

        Last day of classes: Tuesday, December 13, 2022

        Final exam period: Friday, December 16 - Wednesday, December 21, 2022

        Faculty grading deadline: Tuesday, December 27, 2022

BST courses will be held in the Saunders Research Building (SRB). Please check back later for exact room numbers. Statistics/Biostatistics graduate students should not register until after an advising session with the program director.

Course Offerings

Course   Course Title  Credits  Days Times Location Instructor
BST 401 Probability Theory 4      Mondays & Wednesdays 9:10 am - 10:50 am SRB 1st floor Feng, Changyong
BST 411 Statistical Inference I 4      Tuesdays & Thursdays 1:30 pm - 3:10 pm SRB 1st floor Almudevar, Anthony
BST 430 Introduction to Statistical Computing 4     

Tuesdays & Thursdays

11:00 am - 12:40 pm SRB 1st floor Love, Tanzy
BST 432 High Dimensional Data Analysis 4      Mondays & Wednesdays 1:30 pm - 3:10 pm SRB 1st floor Sohn, Michael
BST 463 Introduction to Biostatistics 3      Mondays & Wednesdays 10:00 am - 11:15 am SRB 1.412 Yang, Hongmei
BST 479 Generalized Linear Models 4      Tuesdays,
Thursdays, &
Fridays
Tuesdays & Thursdays: 1:30 pm - 2:45 pm. Fridays: 1:00 pm - 1:50 pm. SRB 1st floor Peterson, Derick
BST 487 Seminar in Statistical Literature 1      Wednesdays 3:30 pm - 4:45 pm SRB 1st floor McDermott, Michael
BST 514 Survival Analysis 4      Tuesdays,
Thursdays, &
Fridays
Tuesdays & Thursdays: 11:00 am - 12:20 pm. Fridays: 11:00 am - 11:40 am. SRB 1st floor Oakes, David
BST 550 Topics in Data AnaIysis: Modeling Neural Responses to Natural Stimuli 4      Mondays & Wednesdays 11:00 am - 12:40 pm SRB 1st floor Norman-Haignere, Sam

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: May 26, 2022