Topic outline

    • 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.

      Teachers: Alexey Fedoseev, Erik Spence
      Start date: 10 Sep. 2024
      End date: 28 Nov. 2024
      Scientific Computing Credits: 8
      Data Science Credits: 28
      Events:
      A full list of course events can be found here.
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