Course Schedule 2023
There are two weekly lectures: Monday 13.1515.00 hrs and Thursday 11.0012.45 hrs. During the weekly computer lab sessions the staff will be present to answer questions about the practical assignments. These sessions take place on Monday 15.1517.00 hrs. In the schedule below, lecture 38A is the lecture on Monday in week 38, 40B is the lecture on Thursday in week 40, and 43C is the computer lab session in week 43.
The first lecture is 36B, on Thursday September 7th. This lecture will be delivered online, because no room was available.
The first computer lab session is 37C, on Monday September 11th.
Shortly before or after each lecture, links to the slides appear on this page. Currently, last year's slides are online; it is possible that they will be updated.
Lecture  Subject/Slides  Literature  Deadlines 

36B  Introduction and Overview  Article Feelders et al.  
37A  Classification Trees (1)  Lecture notes on classification trees Chapter 8 of Book ISLR 

37C  Work on assignment 1  
37B  Classification Trees (2)  Lecture notes on classification trees Chapter 8 of Book ISLR 

38A  Bagging and Random Forests Some small proofs 
Lecture notes on classification trees Chapter 8 of Book ISLR 

38C  Work on assignment 1  
38B  Undirected Graphical Models (1) LogLinear Expansion Example 
Lecture notes on graphical models  
39A  Undirected Graphical Models (2) Counting uterms 
Lecture notes on graphical models  HW 1: Monday, September 25th 
39C  Work on assignment 1  
39B  Undirected Graphical Models (continued)  
40A  Frequent Pattern Mining (1)  Lecture Notes on Frequent Item Set Mining  HW 2: Monday, October 2nd 
40C  Work on assignment 1  
40B  Frequent Pattern Mining (2)  Just the slides  
41A  Text Mining (1)  Jurafsky and Martin, Chapter 4 
HW 3: Monday, October 9th 
41C  Work on assignment 1  
41B  Text Mining (2)  Jurafsky and Martin, Chapter 5 

41D  Deadline assignment 1  Friday, October 13th  
42A  Bayesian Networks (1) No live lecture. Watch recording in Teams. 
Lecture Notes on Bayesian Networks  
42C  Work on assignment 2  
42B  Bayesian Networks (2)  Lecture Notes on Bayesian Networks  
43A  Social Network Mining: Link Prediction  Articles LibenNowell and Kleinberg/El Hasan et al.  HW 4: Monday, October 23rd 
43C  Work on assignment 2  
43B  Social Network Mining: Node Classification
No live lecture. Watch recording in Teams. 
Article Lu and Getoor  
44A  No lecture  
44C  Work on assignment 2  
44B  Q & A Session  
44D  Deadline assignment 2  Friday, November 3rd  
45  Monday, November 6th: Exam 