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Intro to Computational BioStatistics
(Winter 2018)
(Old site; new site is at https://scinet.courses)
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Wednesday May 29, 2024 - 02:55
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1 Description
2 Software Details
3 Lectures
3.1 Intro to Linux Shell i
3.2 Intro to Linux Shell ii
3.3 Intro to Linux Shell iii
3.4 Intro to R Basics
3.5 R Vectors
3.6 Functions and Scripts
3.7 Coding Best Practices
3.8 Version Control: GIT
3.9 Stats I
3.10 Stats II
3.11 ML Classification
3.12 Visualization: Basics, Pro...
3.13 Resampling
3.14 ML Neural Networks
3.15 File IO
3.16 HPR
3.17 Survival Analysis -- PCA
4 Recordings
4.1 Intro to Linux Shell i
4.2 Intro to Linux Shell ii
4.3 Intro to Linux Shell iii
4.4 Intro to R Basics
4.5 R Vectors
4.6 Functions and Scripts
4.7 Coding Best Practices
4.8 Version Control: GIT
4.9 Stats I - Basics of Probab...
4.10 Stats I - Review (cont.)
4.11 Stats I: Linear Modelling
4.12 Stats II: Model Diagnostics
4.13 Stats II: Generalized Line...
4.14 Stats II: Statistical Tests
4.15 Stats II: Power Analysis
4.16 ML I: Classification
4.17 Basic Plotting in R
4.18 Professional Plotting and...
4.19 Interactive Plotting
4.20 Resampling
4.21 ML II: Neural Networks
4.22 File IO
4.23 High-Performance R
4.24 Survival Analysis, PCA
5 Assignments
5.1 Assignment 1
5.2 Assignment 2
5.3 Assignment 3
5.4 Assignment 4
5.5 Assignment 5
5.6 Assignment 6 (cont. Assign...
5.7 Assignment 7
5.8 Assignment 8
5.9 Assignment 9
5.10 Assignment 10
5.11 Assignment 11
Course Calendar
Course Events
MSC1090 Lecture 1
MSC1090 Lecture 2
MSC1090 Lecture 3
MSC1090 Lecture 4
MSC1090 Lecture 5
MSC1090 Lecture 6
MSC1090 Lecture 7
MSC1090 Lecture 8
MSC1090 Lecture 9
MSC1090 Lecture 10
MSC1090 Lecture 11
MSC1090 Lecture 12
MSC1090 Lecture 13
MSC1090 Lecture 14
MSC1090 Lecture 15
MSC1090 Lecture 16
MSC1090 Lecture 17
MSC1090 Lecture 18
MSC1090 Lecture 19
MSC1090 Lecture 20
MSC1090 Lecture 21
MSC1090 Lecture 22
MSC1090 Lecture 23
MSC1090 Lecture 24
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