Course Schedule 2026
There are two lectures per week, on Tuesday and Thursday, and there is one tutorial session per week after the lecture on Thursday. During the weekly tutorial sessions you can work on practice exercises and the practical assignment. There is no tutorial session in week 37. Please consult My Timetable for the times and locations of the lectures and tutorial sessions. In the schedule below, lecture 38A is the lecture on Tuesday in week 38, 40B is the lecture on Thursday in week 40, 43C is the tutorial session in week 43, and 42D is a deadline in week 42. All deadlines are on Friday.
Currently, last year's slides are online; they will possibly be updated shortly before or after the lecture.
| Lecture | Subject/Slides | Literature | Deadlines |
|---|---|---|---|
| 37B | Introduction and Overview | ||
| 38A | Classification and Regression Trees (1) | Lecture notes on classification trees Chapter 8 of Book ISLR |
|
| 38B | Classification and Regression Trees (2) | Lecture notes on classification trees Chapter 8 of Book ISLR |
|
| 38C | Work on exercises | ||
| 39A | Tree Ensembles Some small proofs |
Lecture notes on classification trees Chapter 8 of Book ISLR |
|
| 39B | Text Mining (1) | Jurafsky and Martin, Appendix B |
|
| 39C | Work on exercises | ||
| 39D | Homework 1 | Friday, September 25th | |
| 40A | Text Mining (2) | Jurafsky and Martin, Chapter 4 |
|
| 40B | Undirected Graphical Models (1) Log-Linear Expansion Example |
Lecture notes on graphical models | |
| 40C | Work on exercises/assignment | ||
| 41A | Undirected Graphical Models (2) Counting u-terms |
Lecture notes on graphical models | |
| 41B | Undirected Graphical Models (continued) | ||
| 41C | Work on exercises/assignment | ||
| 41D | Homework 2 | Friday, October 9th | |
| 42A | Frequent Pattern Mining | Lecture Notes on Frequent Item Set Mining | |
| 42B | Bayesian Networks (1) | Lecture Notes on Bayesian Networks | |
| 42C | Work on exercises/assignment | ||
| 42D | Homework 3 | Friday, October 16th | |
| 43A | Bayesian Networks (2) | Lecture Notes on Bayesian Networks | |
| 43B | Social Network Mining: Link Prediction | Articles Liben-Nowell and Kleinberg/El Hasan et al. | |
| 43C | Work on exercises/assignment | ||
| 43D | Assignment | Friday, October 23rd | |
| 44A | PAC Learning and the VC dimension (1) | ||
| 44B | PAC Learning and the VC dimension (2) | ||
| 44C | Work on exercises | ||
| 44D | Homework 4 | Friday, October 30th | |
| 45A | TBD | ||
| 45B | Q & A Session | ||
| 45C | Work on exercises | ||
| 46 | Digital Exam in Remindo |