====== Lab exercises ======
Instructors: Petr Pošík, Jiří Spilka
  * **Czech labs**: Tuesdays, 14:30-16:00, 16:15-17:45, room KN:E-230
  * **English lab**: Tuesdays, 18:00-19:30, room KN:E-230

<WRAP round todo>Work in progress, update for the upcoming semester.</WRAP>

^ Date ^ Week ^ Odd/Even ^ Contents ^ Link ^
| 19.02.2019 |  1. | E | Course organization. Intro to Python/ML | [[courses:ui:exercises:intro|Intro]] |
| 26.02.2019 |  2. | O | Bayesian and non-bayesian decision tasks | [[courses:ui:exercises:ml01|ML 1]] |
| 05.03.2019 |  3. | E | Linear regression | [[courses:ui:exercises:ml02|ML 2]] |
| 12.03.2019 |  4. | O | Non-linear models via basis expansion, logistic regression | [[courses:ui:exercises:ml03|ML 3]] |
| 19.03.2019 |  5. | E | Model evaluation and diagnostics | [[courses:ui:exercises:ml04|ML 4]] |
| 26.03.2019 |  6. | O | Decision trees and ensemble models | [[courses:ui:exercises:ml05|ML 5]] |
| 02.04.2019 |  7. | E | Semestral task 1, Neural networks | [[courses:ui:tasks:task1a|ST1a]], [[courses:ui:tasks:task1b|ST1b]], [[courses:ui:exercises:ml06|ML 6]] | 
| 09.04.2019 |  8. | O | A brief intro to ST1, Bayesian networks | [[courses:ui:exercises:pm01|PM 1]] | 
| 16.04.2019 |  9. | E | Hidden Markov Models 1 | [[courses:ui:exercises:pm02|PM 2]] |
| 23.04.2019 | 10. | O | Hidden Markov Models 2 | [[courses:ui:tasks:task2|ST2]], [[courses:ui:exercises:pm03|PM 3]] |
| 30.04.2019 | 11. | E | Hierarchical Task Net (HTN) Planning | [[courses:ui:exercises:exhtn|HTN]] |
| 07.05.2019 | 12. | O | Constraint satisfaction problems | [[courses:ui:exercises:excsp|CSP]]  |
| 14.05.2019 | 13. | E | ** Schedule as on Wednesday ** |
| 21.05.2019 | 14. | O | Scheduling | [[courses:ui:exercises:excpm|CPM]] |