Preliminary Course Schedule 2017

There are two weekly lectures: wednesday 15.15-17.00 hrs and friday 9.00-10.45 hrs. Furthermore, there are computer lab sessions in which we practice with R, and work on the practical assignments. These sessions take place on wednesday 17.15-19.00 hrs. In the schedule below, lecture 38A is the lecture on wednesday in week 38, 38B is the lecture on friday in week 38, and 38C is the computer lab session in week 38. The first lecture is on friday, september 8th. The first computer lab session is on wednesday, september 13th.

Lecture Subject/Slides Literature
36B Introduction and Overview A. Feelders et al.: Methodological and Practical Aspects of Data Mining
37A Classification Trees (1) Lecture Notes on Classification Trees
Chapter 8 of Book ISLR
37C Computer Lab: Introduction to R
Work on assignment 1
 
37B Classification Trees (2) Lecture Notes on Classification Trees
Chapter 8 of Book ISLR
38A Classification Trees: Exercises; Solutions.  
38C Computer Lab: Work on assignment 1  
38B Bagging and Random Forests
Some proofs
Chapter 8 of Book ISLR
39A Undirected Graphical Models (1) Lecture Notes on Graphical Models
39C Computer Lab: Work on assignment 1  
39B Undirected Graphical Models (2) Lecture Notes on Graphical Models
40A Undirected Graphical Models: Exercises; Solutions.  
40C Computer Lab: Work on assignment 1  
40B Frequent Pattern Mining (1) Lecture Notes on Frequent Item Set Mining
41A Frequent Pattern Mining (2)  
41C Computer Lab: Work on assignment 1  
41B Frequent Pattern Mining: Exercises;
Solutions (Updated on October 16th).
 
42A Text Mining (1)  
42C Computer Lab: Work on assignment 2  
42B Text Mining (2)  
43A Bayesian Networks (1) Lecture Notes on Bayesian Networks
43C Computer Lab: Work on assignment 2  
43B Bayesian Networks (2) Lecture Notes on Bayesian Networks
44A Bayesian Neworks Exercise Class  
44C Computer Lab: Work on assignment 2  
44B Social Network Mining Article Lu and Getoor
45 Written Exam