MSC1090 Introduction to Computational Biostatistics with R (Fall 2024)
Topic outline
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MSC1090 Introduction to Computational Biostatistics with R (Fall 2024)
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, 10:00-11:30am, in VC323.
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: 10 Sep 2024End date: 28 Nov 2024Scientific Computing Credits: 8Data Science Credits: 28Upcoming events:Assignment 4 is due - Thursday, 10 October, 11:59 PMAssignment 5 is due - Thursday, 24 October, 11:59 PM -
Forum
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Due to some technical problems the lecture's recording did not have sound. This video, from last year's iteration of the class, is posted in its place.
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AssignmentOpened: Thursday, 12 September 2024, 11:00 AMDue: Thursday, 19 September 2024, 11:59 PM
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AssignmentOpened: Thursday, 19 September 2024, 11:00 AMDue: Thursday, 26 September 2024, 11:59 PM
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AssignmentOpened: Thursday, 26 September 2024, 11:00 AMDue: Thursday, 3 October 2024, 11:59 PM
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AssignmentOpened: Thursday, 3 October 2024, 11:00 AMDue: Thursday, 10 October 2024, 11:59 PM
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AssignmentAssignment 5Opens: Thursday, 10 October 2024, 11:00 AMDue: Thursday, 24 October 2024, 11:59 PM
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