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.

      Enseignants: Alexey Fedoseev, Erik Spence
      Date de début: : 10 sept. 2024
      Date de fin: : 28 nov. 2024
      Nombre de crédits - calcul scientifique: 8
      Nombre de crédits - science des données: 28
      Événements:
      Une liste complète des événements du cours peut être trouvée ici ici.
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