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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.

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.

(w-week number, Odd/Even)

date w O/E content
19.02.2018 1. E Introduction. We will refresh our Python skills by programming NPuzzle class
26.02.2018 2. O Solvability. Where we use the NPuzzle class and decide whether is the desk solvable at all. Introducing AI-gym and Maze grid world.
05.03.2018 3. E Search I. How to always find the goal? Time, memory needed.
12.03.2018 4. O Search II. Can we speed up the search? Heuristics
19.03.2018 5. E Adversarial Search I. How to minimize opponent's chances. Reversi game.
26.03.2018 6. O Adversarial Search II. How to prune the tree of all game variants.
02.04.2018 7. E Easter - public holiday
09.04.2018 8. O Sequential decisions I
16.04.2018 9. E Sequential decisions II
23.04.2018 10. O Sequential decisions III
30.04.2018 11. E Bayesian learning I
07.05.2018 12. O Bayesian learning II
14.05.2018 13. E Classifiers I
21.05.2018 14. O Classifiers 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 ยท Last modified: 2018/05/21 08:25 by svarnpet