BIOSTAT 203B tentative schedule and handouts (expect frequent updates)
Recommended readings:
| Week | Tuesday | Thursday | Homework |
|---|---|---|---|
| 1 | 1/7 introduction, course logistics [slides: Rmd, html], Linux basics [slides: Rmd, html] | 1/9 Lab 1 [slides: Rmd, html], Windows instructions (by Brendon Chau) [slides: Rmd, html] | |
| 2 | 1/14 reproducible research [slides: Rmd, html], Git/GitHub [slides: Rmd, html], RStudio cheatsheet, RMarkdown cheatsheet | 1/16 Lab 2 [slides: Rmd, html] | HW1: Rmd, html |
| 3 | 1/21 import and tidy data [slides: Rmd, html] | 1/23 data visualization with ggplot2 [slides: Rmd, html] | |
| 4 | 1/28 visualizing longitudinal data [slides: Rmd, html] | 1/30 data transformation with dplyr [slides: Rmd, html] | HW2: Rmd, html |
| 5 | 2/4 date and time [slides: Rmd, html], strings and regex [slides: Rmd, html] | 2/6 Lab | |
| 6 | 2/11 web scraping [slides: Rmd, html], shiny for interactive document [slides: Rmd] | 2/13 Lab (HW3) | HW3 Rmd, html |
| 7 | 2/18 Databases intro. [slides: Rmd, html], dbplyr [slides: Rmd, html] | 2/20 cloud computing with GCP [slides: Rmd, html] | |
| 8 | 2/25 R programming (benchmark, debug, profile) [slides: Rmd, html], Rcpp, parallel computing, R package [slides: Rmd, html] | 2/27 cluster computing at UCLA [tutorial], Docker | |
| 9 | 3/3 neural network and deep learning (intro.) [slides: Rmd, html] | 3/5 Lab: getting started with hw4 | HW4 Rmd, html |
| 10 | 3/10 neural network and deep learning (examples) [slides: Rmd, html] | 3/12 cancelled EMR/EHR [slides: Rmd, html] |