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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
17.02.2020 1 (N-1)-puzzle and refresh Python; quiz on search
24.02.2020 2 Search I
02.03.2020 3 Search II
09.03.2020 4 Adversarial search I
16.03.2020 23.03.2020 on-line 5 Adversarial search II
30.03.2020 on-line 6 Sequential decision-making I
06.04.2020 on-line 7 Sequential decision-making II
13.04.2020 8 Holiday - Easter Monday
20.04.2020 on-line 9 Reinforcement learning I
27.04.2020 on-line 10 Reinforcement learning II
04.05.2020 on-line 11 Reinforcemet learning III
11.05.2020 on-line 12 Bayesian decision-making I
18.05.2020 on-line 13 Classification I
25.05.2020 on-line 14 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 description what is meant by this.

courses/be5b33kui/labs/start.txt · Last modified: 2020/05/21 17:16 by hoffmmat