Instructor: Jiří Spilka
Work in progress, update for the upcoming semester.
| datum | č.t. | S/L | náplň |
|---|---|---|---|
| 20.02.2018 | 1. | S | |
| 27.02.2018 | 2. | L | |
| 06.03.2018 | 3. | S | |
| 13.03.2018 | 4. | L | |
| 20.03.2018 | 5. | S | |
| 27.03.2018 | 6. | L | |
| 03.04.2018 | 7. | S | |
| 10.04.2018 | 8. | L | |
| 17.04.2018 | 9. | S | |
| 24.04.2018 | 10. | L | |
| 01.05.2018 | 11. | S | Svátek |
| 08.05.2018 | 12. | L | Svátek |
| 15.05.2018 | 13. | S | |
| 17.05.2018 | 13. | S | Výuka jako v úterý |
| 22.05.2018 | 14. | L |
| Date | Week | Odd/Even | Contents | |
|---|---|---|---|---|
| 21.02.2017 | 1 | E | Course organization. Intro to Python | Ex. 1 |
| 28.02.2017 | 2 | O | Bayesian and non-bayesian decision tasks | Ex. 2 |
| 07.03.2017 | 3 | E | Linear regression | Ex. 3 |
| 14.03.2017 | 4 | O | Non-linear models via basis expansion, logistic regression | Ex. 4 |
| 21.03.2017 | 5 | E | Model evaluation and diagnostics | Ex. 5 |
| 28.03.2017 | 6 | O | Decision trees and ensemble models | Ex. 6 |
| 04.04.2017 | 7 | E | Semestral task 1, Bayesian networks | ST1, Ex. 7 |
| 11.04.2017 | 8 | O | Hidden Markov Models 1 | Ex. 8 |
| 18.04.2017 | 9 | E | Hidden Markov Models 2 | Ex. 9 |
| 25.04.2017 | 10 | O | Hierarchical Task Net (HTN) Planning | Ex. 10 |
| 02.05.2017 | 11 | E | No labs - schedule as on even Monday | |
| 09.05.2017 | 12 | O | Scheduling | Ex. 11 |
| 16.05.2017 | 13 | E | Constraint satisfaction problems | Ex. 12 |
| 23.05.2017 | 14 | O | Neural networks | Ex. 13 |