Class schedules
This is the working schedule for the course. It is subject to change.
| Week | Topic | Notes | HW Due | Reading | ||
|---|---|---|---|---|---|---|
| 1 | Jan | 19, 21 | Intro, motivation | swirl, iPod lab ind, grp | Syllabus, Kaplan 1. | |
| 2 | 26, 28 | Data visualization | Data viz reading list | |||
| 3 | Feb | 2, 4 | Data visualization | |||
| 4 | 9, 11 | Language of Models | Lec 2 | Kaplan Ch. 6, 7 | ||
| 5 | 18 | Fitting Linear Models | Kaplan Ch. 8 | |||
| 6 | 23, 25 | Linear Regression | Lec 3 | Lab 2 | OpenIntro Ch. 7 | |
| 7 | Mar | 1, 3 | Multiple Linear Regression | Lec 4 | Project 1 | OpenIntro Ch. 8 |
| 8 | 8, 10 | Multiple Linear Regression | Lec 5 | Lab 3 | Kaplan Ch. 11, 12 | |
| 15, 17 | Spring Break! | |||||
| 9 | 22, 24 | Career Fair, MLR | Lec 6 | |||
| 10 | 29, 31 | Hypothesis testing | Lec 7 | Lab 4 | Kaplan Ch. 11-15 | |
| 11 | Apr | 5, 7 | Logistic regression | Lec 8 | Lab 5 | Kaplan Ch 16, OI Ch 8 |
| 12 | 12, 14 | Logistic regression | Lab 6 | NYT article | ||
| 13 | 19, 21 | Missing data | Lec 9 | |||
| 14 | 26 | Final projects |