BIOSTAT 203B tentative schedule and handouts (expect frequent updates)
BruinLearn: https://bruinlearn.ucla.edu/courses/176236
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Recommended readings:
Week | Tuesday | Thursday | Homework |
---|---|---|---|
1 | 1/9 introduction and course logistics [slides: qmd, html], Linux basics [slides: qmd, html] | 1/11 lab 1 (R, RStudio, Quarto, SSH) [slides: qmd, html], lab 2 (homework) [slides: qmd, html] | |
2 | 1/16 reproducible research [slides: qmd, html], Git/GitHub [slides: qmd, html] | 1/18 Docker [slides: qmd, html], lab 3 (Docker) [slides: qmd, html] | HW1 [qmd: qmd, html] |
3 | 1/23 data ingestion and tidying [slides: qmd, html] | 1/25 data transformation with dplyr [slides: qmd, html] | HW2 [qmd: qmd, html] |
4 | 1/30 data visualization with ggplot2 [slides: qmd, html] | 2/1 date and time [slides: qmd, html] | |
5 | 2/6 strings and regex [slides: qmd, html] | 2/8 web scraping [slides: qmd, html] | HW3 [qmd: qmd, html] |
6 | 2/13 lab 4 (hw3), databases intro. [slides: qmd, html], dbplyr [slides: qmd, html] | 2/15 shiny for interactive graphics [slides: qmd, html] | |
7 | 2/20 statistical learning (intro.) [slides: qmd, html] | 2/22 machine learning workflow using tidymodels [slides: qmd, html] | HW4 [qmd: qmd, html] |
8 | 2/27 neural network (intro.) [slides: qmd, html] | 2/29 neural network (practice) [slides: qmd, html] | |
9 | 3/5 cloud computing with GCP [slides: qmd, html] | 3/7 cluster computing at UCLA [tutorial] | HW5 [qmd: qmd, html] |
10 | 3/12 | 3/14 R programming (benchmark, debug, profile) [slides: qmd, html], Rcpp, parallel computing, R package [slides: qmd, html] |