====== Lab exercises ======
Instructors: Petr Pošík, Jiří Spilka
  * **Czech labs**: Tuesdays, 14:30-16:00, room KN:E-132
  * **English lab**: Tuesdays, 16:15-17:45, room KN:E-132

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

===== Regular labs =====

The column **Deadlines** is just for an overall picture. The actual deadlines are always in BRUTE.

^ Date   ^ W# ^ Contents ^ Link ^ Deadlines ^ Note ^
| 18.02. |  1 | Course organization. Intro to Python/ML | [[courses:ui:exercises:intro|Intro]] | - | |
| 25.02. |  2 | Bayesian and non-bayesian decision tasks | [[courses:ui:exercises:ml01|ML 1]] | - | |
| 03.03. |  3 | Linear regression | [[courses:ui:exercises:ml02|ML 2]] | - | (02.03.2020 - upt. dataset) |

/*| 10.03. |  4 | Sem. task [[courses:ui:tasks:task1a|1a]] and [[courses:ui:tasks:task1b|1b]]. Logistic regression, basis expansion. | [[courses:ui:exercises:ml03|ML 3]] | Last week for ML 2+3 |  |
| 17.03. |  5 | Model evaluation and diagnostics | [[courses:ui:exercises:ml04|ML 4]] | - | |
| 24.03. |  6 | Decision trees and ensemble models | [[courses:ui:exercises:ml05|ML 5]] | Last week for ML 4+5 | |
| 31.03. |  7 | Neural networks | [[courses:ui:exercises:ml06|ML 6]] | Last week for ML 6 | |
| 07.04. |  8 | [[courses:ui:tasks:task2|Semestral task 2]]. Bayesian networks | [[courses:ui:exercises:pm01|PM 1]] | Last week for ST1 | |
| 14.04. |  9 | Hidden Markov Models 1 | [[courses:ui:exercises:pm02|PM 2]] | - | |
| 21.04. | 10 | Hidden Markov Models 2 | [[courses:ui:exercises:pm03|PM 3]] | Last week for PM 2+3 | |
| 28.04. | 11 | Hierarchical Task Net (HTN) Planning | [[courses:ui:exercises:exhtn|HTN]] | Last week for HTN. | |
| 05.05. | 12 | ** Schedule as on Friday ** | | Last week for ST2 | |
| 12.05. | 13 | Constraint satisfaction problems | [[courses:ui:exercises:excsp|CSP]]  | Last week for CSP | |
| 19.05. | 14 | Scheduling | [[courses:ui:exercises:excpm|CPM]] | Last week for CPM | |  */

===== Teaching suspended =====
From March 10 to March 22, the teaching was completely suspended due to the coronavirus pandemic. From March 23, we started a distant form of teaching (online lectures and labs).

===== Online labs =====

^ Date   ^ W# ^ Contents ^ Link ^ Deadlines ^ Note ^
| <del>10.03.</del> 24.3. |  4 | Sem. task [[courses:ui:tasks:task1a|1a]] and [[courses:ui:tasks:task1b|1b]]. Logistic regression, basis expansion. | [[courses:ui:exercises:ml03|ML 3]] | Last week for ML 2+3 | 24.3. Upt. quality score for ST1 spam, cf. task description  |
| <del>17.03.</del> 31.3. |  5 | Model evaluation and diagnostics | [[courses:ui:exercises:ml04|ML 4]] | - | |
| <del>24.03.</del> 7.4. |  6 | Decision trees and ensemble models | [[courses:ui:exercises:ml05|ML 5]] | Last week for ML 4+5 | |
| <del>31.03.</del> 14.4. |  7 | Neural networks | [[courses:ui:exercises:ml06|ML 6]] | Last week for ML 6 | 14.04. {{:courses:ui:tasks:st1_report_checklist.pdf| ST1 report checklist}} |
| <del>07.04.</del> 21.4. |  8 | [[courses:ui:tasks:task2|Semestral task 2]]. Bayesian networks | [[courses:ui:exercises:pm01|PM 1]] | Last week for ST1 | |
| <del>14.04.</del> 28.4. |  9 | Hidden Markov Models 1 | [[courses:ui:exercises:pm02|PM 2]] | - | |
| <del>21.04.</del> 5.5. | 10 | ** Schedule as on Friday ** | |  | |
| <del>28.04.</del> 12.5. | 11 | Hidden Markov Models 2 | [[courses:ui:exercises:pm03|PM 3]] | Last week for PM 2+3 | |
| <del>05.05.</del> 19.5. | 12 | Hierarchical Task Net (HTN) Planning | [[courses:ui:exercises:exhtn|HTN]] | Last week for HTN, last week for ST2 | |
| <del>12.05.</del> 26.5. | 13 | Constraint satisfaction problems | [[courses:ui:exercises:excsp|CSP]]  | Last week for CSP | |
| <del>19.05.</del> 2.6. | 14 | Scheduling | [[courses:ui:exercises:excpm|CPM]] | Last week for CPM | |