| Date | Chapter | Topic | |
| 23.08 | 1 | Introduction | |
| 25.08 | 1 & 2 | Model Fitting | |
| 30.08 | 3 | Exponential Family and GLM | |
| 01.09 | 4 | Estimation | |
| 06.09 | 4 | Estimation | |
| 08.09 | 5 | Inference | |
| 13.09 | 5 | Inference | |
| 15.09 | 6 | Normal Linear Models | |
| 20.09 | | No lecture, work with assignment 2 / self study chapter 6 | |
| 22.09 | 6 | No lecture, work with assignment 2 / self study chapter 6 | |
| 27.09 | 6 | Presentation assignment 2 | |
| 29.09 | | No lecture, work with assignment 2 | |
| 04.10 | 7 | Binary variables and logistic regression | |
| 06.10 | 7 | Binary variables and logistic regression | |
| 11.10 | | No lecture, work with assignment 3 | |
| 13.10 | | No lecture, work with assignment 3 | |
| 18.10 | 8 | Nominal and ordinal logistic regression | |
| 20.10 | | No lecture, work with assignment 4 & 5 | |
| 25.10 | 8 | Nominal and ordinal logistic regression | |
| 27.10 | 9 | Poisson regression and log-linear models regression | |
| 01.11 | 9 | Poisson regression and log-linear models | |
| 03.11 | | No lecture, work with assignment 4 & 5 | |
| 08.11 | | No lecture, work with assignment 4 & 5 | |
| 09.11 | | No lecture, work with assignment 4 | |
| 15.11 | | Presentation assignment 5 / Summary | |
| 17.11 | (11) | GLMM | |
| 22.11 | | Presentation assignment 5 / Summary | |
| 24.11 | | No lecture | |