INFOMDAML
Materials for the Applied Data Science INFOMDAML Data Analysis and Machine Learning course.
Data Analysis & Machine Learning
This webpage contains all materials required for the Applied Data Science INFOMDAML course: Data Analysis and Machine Learning.
The materials on this website are CC-BY-4.0 licensed.
Syllabus
You can find the course syllabus as a webpage here or as a pdf here. The course schedule with required reading materials is in the syllabus as well, specifically here.
Lectures
| Week | Date | Topic |
|---|---|---|
| 1 | 2026-09-07 | Introduction to machine learning |
| 2 | 2026-09-15 | Supervised learning: classification & evaluation |
| 3 | 2026-09-22 | Data analysis & visualization |
| 4 | 2026-09-29 | Missing data mechanisms & solutions |
| 5 | 2026-10-06 | Unsupervised learning |
| 6 | 2026-10-13 | Deep learning 1 |
| 7 | 2026-10-20 | Deep learning 2 |
| 8 | 2026-10-27 | Natural language processing |
| 9 | 2026-11-03 | Q&A (13:00-14:00) |
| 9 | 2026-11-05 | Student conference day (09:00 - 18:00) |
Labs
| Week | Date | Topic |
|---|---|---|
| 1 | 2026-09-10 | Set up & know your tools |
| 1 | 2026-09-10 | Supervised learning: regression analysis |
| 2 | 2026-09-17 | Supervised learning: classification & evaluation |
| 3 | 2026-09-24 | Data visualization using ggplot |
| 4 | 2026-10-01 | Missing data mechanisms & solutions |
| 5 | 2026-10-08 | Unsupervised learning: clustering |
| 6 | 2026-10-15 | Deep learning 1 |
| 7 | 2026-10-22 | Deep learning 2 |
| 8 | 2026-10-29 | Natural language processing |
Deadlines
| Week | Date | Topic |
|---|---|---|
| 5 | 2026-10-05 | 16:00 PM Assignment 1 |
| 8 | 2026-10-26 | 16:00 PM Assignment 2 |
| 10 | 2026-11-10 | Final exam (13:30 - 16:30) |
| 18 | 2027-01-05 | Resit exam |
Students Conference Day
| Week | Date | Topic |
|---|---|---|
| 9 | 2026-11-05 | Student conference day (09:00 - 18:00) |