====== Lab exercises ====== Instructor: Jiří Spilka * **English lab**: Tuesdays, 14:30-16:00, room KN:E-230 /** * **Czech lab**: Tuesdays, 16:15-17:45, room KN:E-230 */ 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 | [[courses:be3m33ui:exercises:ex01|Ex. 1]] | | 28.02.2017 | 2 | O | Bayesian and non-bayesian decision tasks | [[courses:be3m33ui:exercises:ex02|Ex. 2]] | | 07.03.2017 | 3 | E | Linear regression | [[courses:be3m33ui:exercises:ex03|Ex. 3]] | | 14.03.2017 | 4 | O | Non-linear models via basis expansion, logistic regression | [[courses:be3m33ui:exercises:ex04|Ex. 4]] | | 21.03.2017 | 5 | E | Model evaluation and diagnostics | [[courses:be3m33ui:exercises:ex05|Ex. 5]] | | 28.03.2017 | 6 | O | Decision trees and ensemble models | [[courses:be3m33ui:exercises:ex06|Ex. 6]] | | 04.04.2017 | 7 | E | Semestral task 1, Bayesian networks | [[courses:be3m33ui:tasks:task1|ST1]], [[courses:be3m33ui:exercises:ex07|Ex. 7]] | | 11.04.2017 | 8 | O | Hidden Markov Models 1 | [[courses:be3m33ui:exercises:ex08|Ex. 8]] | | 18.04.2017 | 9 | E | Hidden Markov Models 2 | [[courses:be3m33ui:exercises:ex09|Ex. 9]] | | 25.04.2017 | 10 | O | Hierarchical Task Net (HTN) Planning | [[courses:be3m33ui:exercises:ex10|Ex. 10]] | | 02.05.2017 | 11 | E ^ No labs - schedule as on even Monday | | 09.05.2017 | 12 | O | Scheduling | [[courses:be3m33ui:exercises:ex11|Ex. 11]] | | 16.05.2017 | 13 | E | Constraint satisfaction problems | [[courses:be3m33ui:exercises:ex12|Ex. 12]] | | 23.05.2017 | 14 | O | Neural networks | [[courses:be3m33ui:exercises:ex13|Ex. 13]] |