Schedule

The programme consists of weekly lectures of two hours, of which occasionally one hour is replaced by practical work.

The lectures will be held in two buildings (according to the schedule below):

# Date Location Subject Remark Slides Video EN Video NL
1 03-09-18 PDLC Introduction 1 1a, 1b 1a, 1b
2 10-09-19 PDLC Data distributions and information 2a, 2b 2a, 2b, 2c, 2d 2a, 2b, 2c, 2d
3 17-09-19 No lecture!
4 24-9-19 PDLC Decision trees 3a, 3b 3a, 3b, 3c, 3d 3a, 3b, 3c, 3d
5 01-10-19 PDLC Decision trees pruning + Practical Weka 4 4a, 4b, 4c 4a, 4b
6 8-10-19 PDLC Classification: Covering, Nearest Neighbour, Model Evaluatie 5a, 5b 5a, 5b 5a, 5b, 5c, 5d
7 15-10-19 PDLC Data Mining tools, Data Science, Big Data + Practical Weka 6a, 6b 6 6a, 6b
8 22-10-19 No lecture!
9 29-10-19 PDLC Subgroup Discovery + Instructions Challenge 7 7 7a, 7b, 7c, 7d
10 05-11-19 PDLC Regression, Maximally Informative k-Itemsets paper 8a, 8b 8a, 8b 8a, 8b, 8c, 8d
11 12-11-19 STEEN Clustering 9 9a, 9b 9a, 9b, 9c
12 19-11-19 PDLC Data Preprocessing + Challenge: Questions and Answers 10 10 10a, 10b
13 26-11-19 STEEN Frequent Pattern Mining Handout (till 6.4) 11 11 11a, 11b, 11c
14 03-12-19 PDLC Preparation exam 12 12
16-01-19, 14:00 Exam  

Videos updated this year: