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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 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.

date week nr. content
15.02.2021 online 1 (N-1)-puzzle and refresh Python; quiz on search
22.02.2021 online 2 Search I
01.03.2021 online 3 Search II
08.03.2021 online 4 Adversarial search I
15.03.2021 online 5 Adversarial search II
22.03.2021 online 6 Sequential decision-making I
29.03.2021 online 7 Sequential decision-making II
05.04.2021 8 Holiday - Easter Monday
12.04.2021 online 9 Reinforcement learning I
19.04.2021 online 10 Reinforcement learning II
26.04.2021 online 11 Reinforcement learning III
03.05.2021 online 12 Bayesian decision-making I
10.05.2021 online 13 Classification I
17.05.2021 online 14 Classification II


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 description what is meant by this.

courses/be5b33kui/labs/start.txt · Last modified: 2021/02/03 22:20 by hoffmmat