Topic: Lectures | MSC1090 Introduction to Computational Biostatistics with R (Fall 2023)

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Topic outline

- Select activity 1. Introduction to the Linux command line I
  
  1. Introduction to the Linux command line I File
- Select activity 2. Introduction to the Linux command line II
  
  2. Introduction to the Linux command line II File
- Select activity 3. Introduction to R
  
  3. Introduction to R File
- Select activity 4. Vectors and data frames
  
  4. Vectors and data frames File
- Select activity 5. Lists, loops and conditional statements in R
  
  5. Lists, loops and conditional statements in R File
- Select activity 6. Functions in R
  
  6. Functions in R File
- Select activity 7. Scripts
  
  7. Scripts File
- Select activity 8. Version Control System - Git
  
  8. Version Control System - Git File
- Select activity 9. Coding Best Practices
  
  9. Coding Best Practices File
- Select activity 10. Distributions
  
  10. Distributions File
- Select activity 11. Hypothesis tests
  
  11. Hypothesis tests File
- Select activity 12. ANOVA
  
  12. ANOVA File
- Select activity 13. Linear models
  
  13. Linear models File
- Select activity 14. Generalized linear models
  
  14. Generalized linear models File
- Select activity 15. Resampling
  
  15. Resampling File
- Select activity 16. Classification I
  
  16. Classification I File
- Select activity 17. Unsupervised learning
  
  17. Unsupervised learning File
- Select activity 18. Classification II
  
  18. Classification II File
- Select activity 19. Neural networks
  
  19. Neural networks File
- Select activity 20. Visualization
  
  20. Visualization File
- Select activity 21. Ensemble methods
  
  21. Ensemble methods File
- Select activity 22. File I/O
  
  22. File I/O
- Select activity 23. Parallel Computing in R
  
  23. Parallel Computing in R File
- Select activity 24. High-Performance Computing in R
  
  24. High-Performance Computing in R File