17. 10. 2019  12:50 Hedviga
Akademický informační systém

Sylabus předmětu B-UMINT - Artificial Intelligence (FEEIT - SS 2019/2020)

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University: Slovak University of Technology in Bratislava
Faculty: Faculty of Electrical Engineering and Information Technology
Course unit code: B-UMINT
Course unit title: Artificial Intelligence
Mode of delivery, planned learning activities and teaching methods:
lecture2 hours weekly (on-site method)
laboratory/construction practice2 hours weekly (on-site method)

Credits allocated: 6
Recommended semester/trimester: Applied Informatics - bachelor (compulsory), 4. semester
Robotics and Cybernetics - bachelor (compulsory), 4. semester
Level of study: 1.
Prerequisites for registration: none
Assesment methods:
Three tests, each 10 points. The condition is to obtain at least 3 points in each test. Mandatory fulfillment of all laboratory excercises or individual excercises respectively.
Learning outcomes of the course unit:
After finishing of the subject the student will understand the basic principles of selected approaches of artificial intelligence as: artificial neural networks, evolutionary algorithms, fuzzy logic, expert systems and multiagent systems. He will be able to apply these approaches in solving practical tasks, he will be able to implement them in programs or use them with apropriate software tools respectively.
Course contents:
1. Basics of artificial intelligence, overview of particular approaches.
2. Artificial neural networks (ANS), selected approaches.
3. Application of ANS in solving of practical tasks.
4. Evolutionary and genetic algorithms (GA), principle, representatives.
5. Application of GA in solving of practical tasks.
6. Fuzzy logic (FL), principle.
7. Application of fuzzy logic in practical tasks.
8. Expert systems and their use.
9. Multiagent systems and their use.
Recommended or required reading:
SEKAJ, I. Evolučné výpočty a ich využitie v praxi. Bratislava : IRIS, 2005. 157 p. ISBN 80-89018-87-4.

Language of instruction: slovak or english
Courses evaluation:
Assessed students in total: 1110

9,7 %11,2 %15,0 %27,2 %33,1 %3,8 %
Name of lecturer(s): Ing. Dominika Banásová (examiner, instructor) - slovak, english
Ing. Jozef Goga (examiner, instructor) - slovak, english
Ing. Martin Ivan (examiner, instructor) - slovak, english
Ing. Slavomír Kajan, PhD. (examiner, instructor, lecturer) - slovak, english
Ing. Martin Komák, PhD. (examiner, instructor) - slovak, english
prof. Ing. Ivan Sekaj, PhD. (lecturer, person responsible for course) - slovak, english
Last modification: 6. 5. 2019
Supervisor: prof. Ing. Ivan Sekaj, PhD. and programme supervisor

Last modification made by RNDr. Marian Puškár on 05/06/2019.

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