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    • MSC1090 Introduction to Computational Biostatistics with R (Fall 2025)

      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 10:00-11:30am in ESB142, and Thursdays 12:00-1:30pm in MS2173.

      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: 9 Sep. 2025
      End date: 27 Nov. 2025
      Scientific Computing Credits: 8
      Data Science Credits: 28
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