Biostat 203B
Course Schedule
BIOSTAT 203B tentative schedule and handouts (expect frequent updates)
BruinLearn: https://bruinlearn.ucla.edu/courses/176237
Course announcements will be sent via BruinLearn.
Slack channel (required): fill out this form to join.
Recommended readings:
- Data Science at the Singularity (2023) by David Donoho.
- 50 Years of Data Science (2017) by David Donoho.
- Reproducible Research with R and RStudio (3rd ed) by Christopher Gandrud: Amazon, GitHub repo.
- Happy Git with R by Jenny Bryan.
- Quarto documentation.
- R Markdown: The Definitive Guide by Yihui Xie, J.J. Allaire, and Garrett Grolemund.
- R for Data Science by Hadley Wickham, Mine Çetinkaya-Rundel, and Garrett Grolemund.
- R Graphics Cookbook by Winston Chang.
- Building Web Apps with R Shiny by Lisa DeBruine.
- Tidy Modeling with R by Max Kuhn and Julia Silge.
- Advanced R by Hadley Wickham.
- R Packages by Hadley Wickham and Jennifer Bryan.
- Rcpp For Everyone by Masaki E. Tsuda.
| Week | Date | Time | Location | Lecture | Homework |
|---|---|---|---|---|---|
| 1 | Sat, 1/6 | 2pm-6pm | CHS 33-105 | introduction and course logistics [slides: qmd, html], Linux basics [slides: qmd, html], lab 1 (R, RStudio, Quarto, SSH) [slides: qmd, html] | |
| Sun, 1/7 | 2pm-6pm | CHS 43-105 | reproducible research [slides: qmd, html], Git/GitHub [slides: qmd, html], lab 2 (homework) [slides: qmd, html] | HW1 [qmd: qmd, html] | |
| Thu, 1/11 | 5:30pm-7:30pm | Zoom | Docker [slides: qmd, html], lab 3 (Docker) [slides: qmd, html] | ||
| 2 | Thu, 1/18 | 5:30pm-7:30pm | Zoom | data ingestion and tidying [slides: qmd, html] | |
| 3 | Thu, 1/25 | 5:30pm-7:30pm | Zoom | data transformation with dplyr [slides: qmd, html], data visualization with ggplot2 [slides: qmd, html] | HW2 [qmd: qmd, html] |
| 4 | Thu, 2/1 | 5:30pm-7:30pm | Zoom | date and time [slides: qmd, html] | HW3 [qmd: qmd, html] |
| 5 | Sat, 2/10 | 2pm-6pm | CHS 43-105 | strings and regex [slides: qmd, html], web scraping [slides: qmd, html] | |
| Sun, 2/11 | 2pm-6pm | CHS 43-105 | lab 4 (HW3), databases intro. [slides: qmd, html], dbplyr [slides: qmd, html] | ||
| 6 | Thu, 2/15 | 5:30pm-7:30pm | Zoom | shiny for interactive graphics [slides: qmd, html] | |
| 7 | Thu, 2/22 | 5:30pm-7:30pm | Zoom | statistical learning (intro.) [slides: qmd, html], machine learning workflow using tidymodels [slides: qmd, html] | HW4 [qmd: qmd, html] |
| 8 | Thu, 2/29 | 5:30pm-7:30pm | Zoom | neural network (intro.) [slides: qmd, html], neural network (practice) [slides: qmd, html] | HW5 [qmd: qmd, html] |
| 9 | Thu, 3/7 | 5:30pm-7:30pm | Zoom | cloud computing with GCP [slides: qmd, html], cluster computing at UCLA [tutorial] | |
| 10 | Sat, 3/16 | 2pm-6pm | CHS 43-105 | R programming (benchmark, debug, profile) [slides: qmd, html] | |
| Sun, 3/17 | 2pm-6pm | CHS 43-105 | Rcpp, parallel computing, R package [slides: qmd, html] |