Causal Analysis
4-6
Algorithms and machine learning
Advanced studies
This course probes the main problems of causal analysis: identifying cause and effect, and their use for prediction and decision-making. Prerequisites: Basics of probability theory and linear algebra. Voluntary project work (2 cr) during the second period.
Lectures
| Time | Room | Lecturer | Date |
|---|---|---|---|
| Wed 10-12 | C221 | Patrik Hoyer | 06.09.2006-13.10.2006 |
| Fri 10-12 | C221 | Patrik Hoyer | 06.09.2006-13.10.2006 |
Exercise groups
| Time | Room | Instructor | Date | Observe |
|---|---|---|---|---|
| Tue 10-12 | C220 | Antti Kerminen | 11.09.2006—13.10.2006 |