Course schedule
Note
Apart from the starting time the time schedule is indicative. Because we can not plan a course by the minute, in practice the time points will deviate.
Before the course
Day 1: Bayesian beginnings
| n | Topic | Breaks | Time |
|---|---|---|---|
| — | Overview | ——– | 09:00–09:15 |
| 3 | Monte Carlo methods | ——– | 09:15–11:30 |
| — | (including) | Coffee | 10:30–11:00 |
| 4 | Bayesian first steps | ——– | 11:30–14:30 |
| — | (including) | Lunch | 12:30–13:30 |
| 5 | Bayesian t-tests | ——– | 14:30–17:00 |
| — | (including) | Coffee | 15:30–16:00 |
Day 2: Bayesian regression
| n | Topic | Breaks | Time |
|---|---|---|---|
| 6 | Robust t-tests and priors | ——– | 09:00–11:30 |
| — | (including) | Coffee | 10:30–11:00 |
| 7 | Bayesian multiple regression | ——– | 11:30–14:30 |
| — | (including) | Lunch | 12:30–13:30 |
| 8 | Bayesian logistic regression | ——– | 14:30–16:45 |
| — | (including) | Coffee | 15:30–16:00 |
| 9 | Outlook | ——– | 16:45–17:00 |