MSC1090 Introduction to Computational Biostatistics with R (Fall 2023)
Topic outline
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MSC1090 Introduction to Computational Biostatistics with R (Fall 2023)
The goal of this course is to prepare graduate students to perform scientific data analysis using the R programming language. Successful students will learn how to use statistical inference and machine-learning tools to gain insight into data sets, as well as be introduced to techniques and best practises for storing, managing and analyzing data. Topics will include: R programming, version control, modular programming, coding best practices, data analysis, machine learning and scientific visualization.
Classes will be held Tuesdays and Thursdays, 9:00-10:30am, in SS1085.
Students willing to take the course as part of their graduate program must enrol through Acorn. This course is part of the IMS graduate program.
Start date: 12 Sep 2023End date: 30 Nov 2023Scientific Computing Credits: 8Data Science Credits: 28Upcoming events:A full list of future course events can be found here.Assignment 2 is due - Today, 11:59 PMMSC1090 lecture 7 - Tuesday, 3 October, 9:00 AM » 10:30 AMMSC1090 lecture 8 - Thursday, 5 October, 9:00 AM » 10:30 AM -
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AssignmentOpened: Thursday, 14 September 2023, 10:00 AMDue: Thursday, 21 September 2023, 11:59 PM
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AssignmentOpened: Thursday, 21 September 2023, 10:00 AMDue: Thursday, 28 September 2023, 11:59 PM
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AssignmentOpened: Thursday, 28 September 2023, 10:00 AMDue: Thursday, 5 October 2023, 11:59 PM
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