Class schedules
This is the working schedule for the course.
ISL refers to the textbook Introduction to Statistical Learning, PR refers to the textbook Practical Regression and Anova using R, and OI refers to the OpenIntro Statistics textbook.
| Week | Topic | In-class resources | Reading | ||
|---|---|---|---|---|---|
| 1 | Jan | 20, 22 | Simple Linear Regression | Lecture 1 | ISL Ch 1, 3.1; PR Ch 1, 2. |
| 2 | 27, 29 | Simple Linear Regression (con’t) | Lecture 2, Lab 1 | ISL Ch 3.1; PR Ch 2. | |
| 3 | Feb | 3, 5 | Least squares, multiple linear regression | Lec 3, Lec 4, Lab 2 | ISL Ch 3.2-3.3; PR Ch 2. |
| 4 | 10, 12 | MLR: estimation, model formulation | Lec 5, Lec 6 | ISL Ch 3.2-3.3; PR Ch 2. | |
| 5 | 19 | MLR: inference, multiple testing | Lec 7, R code, Lab 3 | PR Ch. 3 | |
| 6 | 24, 26 | MLR: inference, multiple testing | Lec 8, R code, ST 1 | PR Ch. 3 | |
| 7 | Mar | 3, 5 | MLR: model checking and diagnostics | Lec 9, Lec 10 | ISL Ch. 6.1, PR Ch. 7 |
| 8 | 10, 12 | MLR: model selection, interactions | Lab 4, Lec 11 | PR Ch. 10 | |
| 17, 19 | Spring Break! | ||||
| 9 | 24, 26 | Splines in regression, power simulations | Lec 12, ST 2 | ISL Ch 7 | |
| 10 | Apr | 31, 2 | Missing data, logistic regression | Lec 13, Lab 5 | List, ISL 4.1-4.3, OI 8 |
| 11 | 7, 9 | data visualization | List | ||
| 12 | 14, 19 | Longitudinal data analysis | Lec 14, R | ||
| 13 | 21, 23 | Project prep, presentations | |||
| 14 | 28 | Project presentations |