SubjectsSubjects(version: 983)
Course, academic year 2025/2026
   
Seminar on applied artificial intelligence II - NAIL098
Title: Seminář aplikované umělé inteligence II
Guaranteed by: Department of Theoretical Computer Science and Mathematical Logic (32-KTIML)
Faculty: Faculty of Mathematics and Physics
Actual: from 2012
Semester: summer
E-Credits: 3
Hours per week, examination: summer s.:0/2, C [HT]
Capacity: unlimited
Min. number of students: unlimited
4EU+: no
Virtual mobility / capacity: no
State of the course: cancelled
Language: Czech
Teaching methods: full-time
Guarantor: RNDr. Ondřej Sýkora
RNDr. Jiří Iša
Class: Informatika Mgr. - volitelný
Classification: Informatics > Theoretical Computer Science
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Annotation -
Practical seminar about the applications of the methods of artificial intelligence for solving "real-life" problems and current problems in commercial environment. The seminar is aimed at students, who want to try using the methods of artificial intelligence for solving practical problems. The base of the seminar is solving competition problems for both "internal" and international open competitions like RL-Competition, Forcesting Competition for Artificial Neural Networks, MIT Battlecode and others.
Last update: T_KTI (06.05.2010)
Aim of the course -

The aim of the subject is to acquint students with the applications of

the methods of artificial intelligence, to support their own activity

and their participation in contests aimed at application of the

methods of artificial intelligence.

Last update: T_KTI (06.05.2010)
Literature - Czech
Russel & Norwig: Artificial Intelligence: A Modern Approach

Sutton & Barto: Reinforcement Learning: An Introduction

Sborníky a publikace vycházející ze soutěží Reinforcement Learning
Competition, Netflix Prize, ORTS Competition, KDD Cup a dalších

Časopisy: Artificial Intelligence, Machine Learning, ERCIM

http://battlecode.mit.edu/

http://www.neural-forecasting.com/

http://www.rl-competition.org/

http://cig.dei.polimi.it/

Last update: T_KTI (06.05.2010)
Syllabus -

The scope of the seminar is solving practical and competition problems

by using methods from the following fields:

Decision-making under uncertainty, games and auctions, analysis and

solving of games, machine learning, neural networks, data mining, and

others.

Last update: T_KTI (06.05.2010)
 
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