Class schedules
This is the working schedule for the course. It is subject to change.
CDA refers to the textbook Categorical Data Analysis by Alan Agresti. ARM refers to the textbook Applied Regression Modeling by Gelman and Hill.
| Week | Topic | Notes | HW Due | Reading | |||
|---|---|---|---|---|---|---|---|
| 1 | Sep | 4, 6 | Intro to CDA | Lec 1 | CDA 1-2 | ||
| 2 | 11, 13 | Contingency tables/GLMs | Lec 2 | CDA 2-3 | |||
| 3 | 18, 20 | Contingency Tables | Lec 3, Lec 4 | HW1 | CDA 4-6 | ||
| 4 | 25, 27 | Intro to GLMs | Lec 5, Lec 6 | CDA 9 | |||
| 5 | Oct | 2, 4 | Logistic GLMs | Lec 7, Lec 8 | HW2 | CDA 7-8, ARM 24 | |
| 6 | 11 | Multinomial GLMs | Lec 9 | CDA 12, ARM 11-12 | |||
| 7 | 16, 18 | Multinomial/Poisson GLMs, Penalized Regression | Lec 10,Lec 11 | HW3 | |||
| 8 | 23, 25 | Clustered Data | Lec 13 | CDA 12-13, ARM 13-15 | |||
| 9 | Nov | 30, 1 | Negative Binomial GLMs | Lec 14, Lec 15 | HW4 | CDA 14, Rock et al., NB analysis | |
| 10 | 6, 8 | Review and Midterm Exam | |||||
| 11 | 13, 15 | Project work | |||||
| 20, 22 | Thanksgiving | Exam | |||||
| 12 | 27, 29 | ||||||
| 13 | Dec | 4, 6 | Projects | ||||
| 14 | 11 | Project presentations |