Fall 2019 Class Materials
All materials listed here are licensed for reuse under Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
Lecture Notes
by Elizabeth Purdom, Adityanand Guntuboyina (modified by Will Fithian)
The datasets used in these lectures are available on bcourses.
Note links will only work once the material is posted (i.e. as the semester progresses). Visit the sites from previous semesters to get access to the reading material in advance (there is only small variation from year to year)
| # | Title | Chapter (pdf) | Code (html) | Code (Rmd) |
|---|---|---|---|---|
| 01 | Review of probability | html | Rmd | |
| 02 | Comparing Groups and Hypothesis Testing | html | Rmd | |
| 03 | Fitting curves to data | html | Rmd | |
| 04 | Visualizing Multivariate Data | html | Rmd | |
| 05 | Multiple Regression | html | Rmd | |
| 06 | Logistic Regression |
Labs
by Boying Gong
| # | Title | Datahub Link | Code |
|---|---|---|---|
| 00 | Intro to R and RStudio | link | html |
| 01 | Boxplots and Histograms | link | |
| 02 | Probability calculations and estimating density functions | link |