Causal Analysis

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.
Year Semester Date Period Language In charge
2006 autumn 06.09-13.10. English


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

Group: 1
Time Room Instructor Date Observe
Tue 10-12 C220 Antti Kerminen 11.09.2006—13.10.2006