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Fall 2020 Courses

Questions about the course format? Can't find the course description? Please email: URBiostat@urmc.rochester.edu

Important Dates

        First day of classes: Wednesday, August 26, 2020

        No classes (Labor Day): Monday, September 7, 2020

        Add a SMD course deadline: Wednesday, September 23, 2020

        Drop a SMD course deadline: Wednesday, November 11, 2020 (100% tuition refund deadline: to be determined)

        No classes (Thanksgiving Break): Wednesday, November 25 - Friday, November 27, 2020

        Last day of classes: Wednesday, December 9, 2020

        Final exam period: Sunday, December 13 - Friday, December 18, 2020

        Faculty grading deadline: Monday, December 28, 2020

Course Offerings

Course   Course Title  Credits  Days Times Instructor
BST 401-1 Probability Theory 4      Mondays & Wednesdays 9:10 am - 10:50 am Feng, Changyong
BST 411-1 Statistical Inference I 4      Tuesdays & Thursdays 11:00 am - 12:40 pm Almudevar, Anthony
BST 430-1 Introduction to Statistical Computing I 3       Mondays & Wednesdays (Aug 26 - Nov 16) 11:05 am - 12:45 pm Zhang, Zhengwu
BST 432-1 High Dimensional Data Analysis 4     

Tuesdays, Thursdays, & Fridays

Tuesdays: 11:00 am - 12:15 pm; Thursdays: 11:00 am - 12:15 pm; Fridays: 11:00 am - 11:50 am

McDavid, Andrew
BST 494-1 Biostatistical Methods I 4      Mondays & Wednesdays 1:30 pm - 3:10 pm Love, Tanzy; Sohn, Michael; Wu, Tongtong; McDermott, Michael
BST 463-1 Introduction to Biostatistics 3       Mondays & Wednesdays 10:00 am - 11:15 am Yang, Hongmei
BST 479-1 Generalized Linear Models 4      Mondays, Tuesdays, Thursdays, & Fridays

Mondays: 2:00 pm - 2:50 pm; Tuesdays: 2:00 pm - 2:50 pm; Thursdays: 2:00 pm - 2:50 pm; Fridays: 12:00 pm - 12:50 pm

Peterson, Derick
BST 487-1 Seminar in Statistical Literature 1       Wednesdays 3:30 pm - 4:45 pm McDermott, Michael
BST 511-1 Topics in Statistical Inference I: Semiparametric Inference 2       Wednesdays 1:30 pm - 3:10 pm Ertefaie, Ashkan

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 593 - Internship at the PhD Level
     BST 595 - Research at the PhD Level
     BST 999 - Doctoral Dissertation
* maximum of 6 credits per BST 591 course  

Last updated: August 19, 2020