Oct 23, 2019   12:49 p.m. Alojza
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Course syllabus 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 title: Artificial Intelligence
Course unit code: B-UMINT
Mode of completion and Number of ECTS credits: Exam (6 credits)
 
Name of lecturer: 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
 
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.
 
Prerequisites and co-requisites: none
 
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:
Basic:
SEKAJ, I. Evolučné výpočty a ich využitie v praxi. Bratislava : IRIS, 2005. 157 p. ISBN 80-89018-87-4.

 
Planned learning activities and teaching methods: 1. Presentations (theory, applications, examples, simulations, animations, videos).
2. Laboratory excercises (application programming in the Matlab environment).
 
Assesment methods and criteria: Three tests during the semester: 30 points, laboratory excercises: 11x2=22 points, exam: 48 points (sum: 100 points). Additional 10 points for a voluntary project.
 
Language of instruction: Slovak, English
 
Work placement(s): There is no compulsory work placement in the course unit.


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

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