Course Schedule 2025

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. 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
36B Introduction and Overview    
37A Classification and Regression Trees (1) Lecture notes on classification trees
Chapter 8 of Book ISLR
 
37B Classification and Regression Trees (2) Lecture notes on classification trees
Chapter 8 of Book ISLR
 
37C Work on exercises    
38A Tree Ensembles
Some small proofs
Lecture notes on classification trees
Chapter 8 of Book ISLR
 
38B Text Mining (1) Jurafsky and Martin,
Chapter 4
 
38C Work on exercises    
38D Homework 1   Friday, September 19th
39A Text Mining (2) Jurafsky and Martin,
Chapter 5
 
39B Undirected Graphical Models (1)
Log-Linear Expansion Example
Lecture notes on graphical models  
39C Work on assignment    
40A Undirected Graphical Models (2)
Counting u-terms
Lecture notes on graphical models  
40B Undirected Graphical Models (continued)    
40C Work on assignment    
40D Homework 2   Friday, October 3rd
41A Frequent Pattern Mining (1) Lecture Notes on Frequent Item Set Mining  
41B Frequent Pattern Mining (2) Just the slides  
41C Work on assignment    
41D Homework 3   Friday, October 10th
42A Bayesian Networks (1) Lecture Notes on Bayesian Networks  
42B Bayesian Networks (2) Lecture Notes on Bayesian Networks  
42C Work on assignment    
42D Assignment   Friday, October 17th
43A Social Network Mining: Node Classification Article Lu and Getoor HW 4: Tuesday, October 22nd
43B Social Network Mining: Link Prediction Articles Liben-Nowell and Kleinberg/El Hasan et al.  
43C Work on exercises    
43D Homework 4   Friday, October 24th
44A TBD    
44B TBD    
44C Work on exercises    
45 Digital Exam in Remindo