Course: MSC1090 Introduction to Computational Biostatistics with R (Fall 2022)

Topic outline

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- MSC1090 Introduction to Computational Biostatistics with R (Fall 2022)
  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 GB244 and BL205, respectively.
  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: 13 Sep 2022
  End date: 29 Nov 2022
  Scientific Computing Credits: 8
  Data Science Credits: 28
  Events:
  MSC1090: Lecture 1 - Tuesday, 13 September, 9:00 AM » 10:30 AM
  MSC1090: Lecture 2 - Thursday, 15 September, 10:20 AM » 11:50 AM
  MSC1090: Lecture 3 - Tuesday, 20 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
Lectures
The lecture slides below are licensed under a Creative Commons Attribution 4.0 International License.
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  1. Introduction to Linux Shell I File
- File
  
  2. Introduction to Linux Shell II File
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  3. Introduction to R File
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  4. Vectors and data frames File
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  5. Lists, loops and conditional statements in R File
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  6. Functions in R File
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  7. Scripts File
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  8. Version Control System - Git File
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  9. Coding Best Practices File
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  10. Distributions File
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  11. Hypothesis tests File
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  12. ANOVA File
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  13. Linear Models File
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  14. Generalized linear models File
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  15. Resampling File
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  16. Classification I File
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  17. Classification II File
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  18. Unsupervised learning File
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  19. Neural networks File
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  20. Visualization File
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  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
The recordings below are licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.
- File
  
  1. Introduction to Linux Shell I File
- File
  
  2. Introduction to Linux Shell II File
- File
  
  3. Introduction to R File
- File
  
  4. Vectors and data frames File
- File
  
  5. Loops and conditionals in R 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 testing File
- File
  
  12. ANOVA File
- File
  
  13. Linear Models File
- File
  
  14. Generalized linear models File
- File
  
  15. Resampling File
- Page
  
  16. Classification I Page
- File
  
  17. Classification II File
- File
  
  18. Unsupervised learning File
- File
  
  19. Neural networks File
- File
  
  20. Visualization File
- File
  
  21. Ensemble methods File
- File
  
  22. File I/O
- File
  
  23. Parallel R File
- File
  
  24. High-performance R File
Assignments
- Assignment
  
  Assignment 1
  
  Opened: Thursday, 15 September 2022, 10:00 AM
  
  Due: Thursday, 22 September 2022, 11:59 PM
- Assignment
  
  Assignment 2
  
  Opened: Thursday, 22 September 2022, 10:00 AM
  
  Due: Thursday, 29 September 2022, 11:59 PM
- Assignment
  
  Assignment 3
  
  Opened: Thursday, 29 September 2022, 10:00 AM
  
  Due: Thursday, 6 October 2022, 11:59 PM
- Assignment
  
  Assignment 4
  
  Opened: Thursday, 6 October 2022, 10:00 AM
  
  Due: Thursday, 13 October 2022, 11:59 PM
- Assignment
  
  Assignment 5
  
  Opened: Thursday, 13 October 2022, 10:00 AM
  
  Due: Thursday, 27 October 2022, 11:59 PM
- Assignment
  
  Assignment 6
  
  Opened: Thursday, 27 October 2022, 10:00 AM
  
  Due: Thursday, 3 November 2022, 11:59 PM
- Assignment
  
  Assignment 7
  
  Opened: Thursday, 3 November 2022, 10:00 AM
  
  Due: Thursday, 10 November 2022, 11:59 PM
- Assignment
  
  Assignment 8
  
  Opened: Thursday, 10 November 2022, 10:00 AM
  
  Due: Thursday, 17 November 2022, 11:59 PM
- Assignment
  
  Assignment 9
  
  Opened: Thursday, 17 November 2022, 10:00 AM
  
  Due: Thursday, 24 November 2022, 11:59 PM
- Assignment
  
  Assignment 10
  
  Opened: Thursday, 24 November 2022, 10:00 AM
  
  Due: Thursday, 1 December 2022, 11:59 PM
- Assignment
  
  Assignment 11 - Make-up
  
  Opened: Thursday, 1 December 2022, 10:00 AM
  
  Due: Thursday, 8 December 2022, 11:59 PM

Topic outline

General

MSC1090 Introduction to Computational Biostatistics with R (Fall 2022)

Lectures

Recordings

Assignments