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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
18.02.2019 1 (N-1)-puzzle and refresh Python; quiz on search
25.02.2019 2 Search I
04.03.2019 3 Search II
11.03.2019 4 Adversarial search I
18.03.2019 5 Adversarial search II
25.03.2019 6 Sequential decision-making I
01.04.2019 7 Sequential decision-making II
08.04.2019 8 Reinforcement learning I
15.04.2019 9 Reinforcement learning II
22.04.2019 10 Holiday
29.04.2019 11 Bayesian decision-making I
06.05.2019 12 Bayesian decision-making II
13.05.2019 13 Classification I
20.05.2019 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 ยท Last modified: 2019/05/10 10:16 by gamafili