Course Schedule 2023

There are two weekly lectures: Monday 13.15-15.00 hrs and Thursday 11.00-12.45 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 15.15-17.00 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)
Log-Linear Expansion Example
Lecture notes on graphical models  
39A Undirected Graphical Models (2)
Counting u-terms
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 Liben-Nowell 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