Biostat 203B

syllabus

schedule

announcements

Course Schedule

BIOSTAT 203B tentative schedule and handouts (expect frequent updates)

Mandatory daily symptom monitoring survey: https://uclasurveys.co1.qualtrics.com/jfe/form/SV_3qRLtouCYKzBbH7

Zoom link: https://ucla.zoom.us/j/99440334928

From Feb 15, 2022, lectures will be in-person at CHS 13-105A (Tuesday) and CHS 23-105A (Thursday).

CCLE site: https://ccle.ucla.edu/course/view/22W-BIOSTAT203B-1

Slack channel: https://ucla.slack.com/archives/C02SLT81N8L

Teaching server: http://server.ucla-biostat-203b.com:8787

Recommended readings:

Week Tuesday Thursday Homework
1 1/4 introduction and course logistics [slides: Rmd, html], Linux basics [slides: Rmd, html] 1/6 Lab 1: MacOS [slides: Rmd, html], Windows [slides: Rmd, html] HW1 [Rmd, html]
2 1/11 reproducible research [slides: Rmd, html], Git/GitHub [slides: Rmd, html], RStudio cheatsheet, RMarkdown cheatsheet 1/13 Lab 2  
3 1/18 import and tidy data [slides: Rmd, html] 1/20 data visualization with ggplot2 [slides: Rmd, html], visualizing longitudinal data [slides: Rmd, html] HW2 [Rmd, html]
4 1/25 data transformation with dplyr [slides: Rmd, html], date and time [slides: Rmd, html] 1/27 Lab  
5 2/1 strings and regex [slides: Rmd, html], web scraping [slides: Rmd, html] 2/3 Lab  
6 2/8 shiny for interactive graphics [slides: Rmd] 2/10 databases intro. [slides: Rmd, html], dbplyr [slides: Rmd, html] HW3 [Rmd, html]
7 2/15 cloud computing with GCP [slides: Rmd, html] 2/17 Lab  
8 2/22 cluster computing at UCLA tutorial, neural network intro. [slides: Rmd, html] 2/24 Lab (Zoom) HW4 [Rmd, html]
9 3/1 neural network examples [slides: Rmd, html] 3/3 Lab  
10 3/8 (Jianxiao Yang) R programming (benchmark, debug, profile) [slides: Rmd, html], Rcpp, parallel computing, R package [slides: Rmd, html], GPGPU in R [slides: Rmd, html] 3/10 Lab (Zoom)