Course: MSC1090 Introduction to Computational Biostatistics with R (Fall 2023)

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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.
  Teachers: Alexey Fedoseev, Erik Spence
  Start date: 12 Sep 2023
  End date: 30 Nov 2023
  Scientific Computing Credits: 8
  Data Science Credits: 28
  Events:
  MSC1090 lecture 1 - Tuesday, 12 September, 9:00 AM » 10:30 AM
  MSC1090 lecture 2 - Thursday, 14 September, 9:00 AM » 10:30 AM
  MSC1090 lecture 3 - Tuesday, 19 September, 9:00 AM » 10:30 AM
  A full list of course events can be found here.
- Page
  
  Software Requirements Page
- Forum
  
  Student forum
- Forum
  
  Announcements Forum
- Page
  
  Course Evaluation Page
Lectures
- File
  
  1. Introduction to the Linux command line I File
- File
  
  2. Introduction to the Linux command line II File
- File
  
  3. Introduction to R File
- File
  
  4. Vectors and data frames File
- File
  
  5. Lists, loops and conditional statements in R File
- File
  
  6. Functions in R File
- File
  
  7. Scripts File
- File
  
  8. Version Control System - Git File
- File
  
  9. Coding Best Practices File
- File
  
  10. Distributions File
- File
  
  11. Hypothesis tests File
- File
  
  12. ANOVA File
- File
  
  13. Linear models File
- File
  
  14. Generalized linear models File
- File
  
  15. Resampling File
- File
  
  16. Classification I File
- File
  
  17. Unsupervised learning File
- File
  
  18. Classification II File
- File
  
  19. Neural networks File
- File
  
  20. Visualization File
- File
  
  21. Ensemble methods File
- File
  
  22. File I/O
- File
  
  23. Parallel Computing in R File
- File
  
  24. High-Performance Computing in R File
Recordings
- File
  
  1. Introduction to Linux command line I File
- File
  
  2. Introduction to the Linux command line II File
- File
  
  Introduction to R File
- File
  
  4. Vectors and data frames File
- File
  
  5. Lists, loops, and conditional statements File
- File
  
  6. Functions File
- File
  
  7. Scripts File
- File
  
  8. Version control File
- File
  
  9. Coding best practices File
- File
  
  10. Distributions File
- File
  
  11. Hypothesis tests File
- File
  
  12. ANOVA File
- File
  
  13. Linear models File
- File
  
  14. Generalized linear models File
- File
  
  15. Resampling File
- File
  
  16. Classification I File
- File
  
  17. Unsupervised learning File
- File
  
  18. Classification II File
- File
  
  19. Neural networks File
- File
  
  20. Visualization File
- File
  
  21. Ensemble methods File
- File
  
  22. File I/O
- File
  
  23. Parallel Computing in R File
- File
  
  24. High-performance R File
Assignments
- Assignment
  
  Assignment 1
  
  Opened: Thursday, 14 September 2023, 10:00 AM
  
  Due: Thursday, 21 September 2023, 11:59 PM
- Assignment
  
  Assignment 2
  
  Opened: Thursday, 21 September 2023, 10:00 AM
  
  Due: Thursday, 28 September 2023, 11:59 PM
- Assignment
  
  Assignment 3
  
  Opened: Thursday, 28 September 2023, 10:00 AM
  
  Due: Thursday, 5 October 2023, 11:59 PM
- Assignment
  
  Assignment 4
  
  Opened: Thursday, 5 October 2023, 10:00 AM
  
  Due: Thursday, 12 October 2023, 11:59 PM
- Assignment
  
  Assignment 5
  
  Opened: Thursday, 12 October 2023, 10:00 AM
  
  Due: Thursday, 19 October 2023, 11:59 PM
- Assignment
  
  Assignment 6
  
  Opened: Thursday, 19 October 2023, 10:00 AM
  
  Due: Thursday, 26 October 2023, 11:59 PM
- Assignment
  
  Assignment 7
  
  Opened: Thursday, 26 October 2023, 10:00 AM
  
  Due: Thursday, 2 November 2023, 11:59 PM
- Assignment
  
  Assignment 8
  
  Opened: Thursday, 2 November 2023, 10:00 AM
  
  Due: Thursday, 16 November 2023, 11:59 PM
- Assignment
  
  Assignment 9
  
  Opened: Thursday, 16 November 2023, 10:00 AM
  
  Due: Thursday, 23 November 2023, 11:59 PM
- Assignment
  
  Assignment 10
  
  Opened: Thursday, 23 November 2023, 10:00 AM
  
  Due: Thursday, 30 November 2023, 11:59 PM
- Assignment
  
  Assignment 11 - Make-up
  
  Opened: Thursday, 30 November 2023, 10:00 AM
  
  Due: Thursday, 7 December 2023, 11:59 PM

Topic outline

General

MSC1090 Introduction to Computational Biostatistics with R (Fall 2023)

Lectures

Recordings

Assignments