Schedule — Fall 2026

Lectures

All lectures run 14:00–15:45.

#	Date	Topic	Room
1	Thu 10 Sep	Course introduction + semester project	C2-065
2	Wed 16 Sep	AI tools in a machine-learning workflow	C2-065
3	Tue 22 Sep	Foundations and preprocessing pipelines	C2-095
4	Wed 23 Sep	Linear models for prediction	C2-065
5	Wed 30 Sep	Classification methods	C2-065
6	Tue 6 Oct	Bias-variance tradeoff	C2-095
7	Wed 7 Oct	Model selection and cross-validation	C2-030
8	Wed 14 Oct	Project showcase (optional)	B2-080
9	Tue 20 Oct	Unsupervised learning and PCA	C2-065
10	Wed 21 Oct	Ensemble methods	C2-065
11	Wed 28 Oct	Support vector machines	C2-065
12	Tue 3 Nov	Gradient boosting	C2-065
13	Wed 4 Nov	Clustering	C2-065
14	Wed 11 Nov	Neural networks	C2-095
15	Tue 17 Nov	Project workshop	C2-095
16	Wed 18 Nov	Summing up and Q&A	C2-065

Semester project milestones

When	Milestone
Lecture 1	Project introduced
Tue 6 Oct	Signup deadline for the Lecture 8 showcase
Lecture 8	Optional project showcase: 5-min slots for volunteers, signup required
Lecture 15	Project workshop: rehearse with peers
Fri 20 Nov, 12:00	Project submission deadline
Dec 2026	Oral exam (dates TBA)