====== Computers labs, seminars ======

Labs are organized into three main topics: i) problem solving by search, ii) sequential decisions under uncertainty, iii) machine learning - classifying simple images. The labs combine seminar-like discussions and solving/discussing coding problems. Students are expected to come with questions.

There are 5 compulsory programming assignments throughout the semeseter (search, reversi (adversarial search), sequential decision making, reiforcement learning, and classification (2 parts - code and report)) that you will have to upload to [[https://cw.felk.cvut.cz/brute|BRUTE]]. The deadlines will be listed only there.

The scheduled labs are the primary places for discussions and consultations. The labs are not compulsory but it is expected you come prepared. We will mark your presence, though. Individual consultations are possible after an agreement. Note, however, that the individual consultations are meant to be used mainly under special circumstances like long illness. If you know about longer absence please approach us beforehand.

<note important>**The course will start as physical teaching, but might change to [[courses:be5b33kui:distance_teaching|Distance teaching]] if needed. The labs won't be in hybrid form unless for exceptionnal reasons such as a student testing positive and not being able to come, in which case the student should warn us in advance.**</note>

^ date ^ week nr. ^ content ^
| 14.02.2022 | 1  | [[.:weekly:week_01|(N-1)-puzzle and refresh Python; quiz on search]] |
| 21.02.2022 | 2  | [[.:weekly:week_02|Search I]] |
| 28.02.2022 | 3  | [[.:weekly:week_03|Search II]] |
| 07.03.2022 | 4  | [[.:weekly:week_04|Adversarial search I]] |
| 14.03.2022 | 5  | [[.:weekly:week_05|Adversarial search II]] |
| 21.03.2022 | 6  | [[.:weekly:week_06|Sequential decision-making I]] |
| 28.03.2022 | 7  | [[.:weekly:week_07|Sequential decision-making II]] |
| 04.04.2022 | 8  | [[.:weekly:week_08|Reinforcement learning I]] |
| 11.04.2022 | 9 | [[.:weekly:week_09|Reinforcement learning II]] |
| 18.04.2022 | 10  | Holiday - Easter Monday |
| 25.04.2022 | 11 | [[.:weekly:week_10|Reinforcement learning III]] |
| 02.05.2022 | 12 | [[.:weekly:week_11|Bayesian decision-making I]] |
| 09.05.2022 | 13 | [[.:weekly:week_12|Classification I]]  |
| 16.05.2022 | 14 | [[.:weekly:week_13|Classification II]]  |


===== Rules =====
Unless stated otherwise an individual coding work is required. You are encouraged to discuss ideas but coding must be your work only. See the more detailed [[https://cw.fel.cvut.cz/wiki/help/common/plagiarism_cheating|description]] what is meant by this.