Nov 17, 2019   1:42 p.m. Klaudia, štátny sviatok - Deň boja za slobodu a demokraciu
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Course syllabus I-UI2 - Artificial Intelligence 2 (FEEIT - WS 2019/2020)


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University: Slovak University of Technology in Bratislava
Faculty: Faculty of Electrical Engineering and Information Technology
Course unit code: I-UI2
Course unit title: Artificial Intelligence 2
Mode of delivery, planned learning activities and teaching methods:
lecture2 hours weekly (on-site method)
2 hours weekly (distance method)
seminar2 hours weekly (on-site method)
2 hours weekly (distance method)

 
Credits allocated: 5
 
Recommended semester/trimester: Robotics and Cybernetics - master (compulsory), 1. semester
Robotics and Cybernetics - master (compulsory), 1. semester
Level of study: 2.
Prerequisites for registration: none
 
Assesment methods:
Three tests, each 10 points. The condition is to obtain at least 3 points in each test. Mandatory fulfilment of all laboratory excercises or individual excercises respectively.
 
Learning outcomes of the course unit:
The student will acqiure knowledge from selected areas of artificial intellgence: knowledge systems, knowledge engineering, expert systems, bio-inspired computation methods and multiagent systems. He will be able to aplly it in practical tasks in robotics and cybernetics as well as in other practical areas.
 
Course contents:
1. Introduction to artificial intelligence.
2. Knowledge systems (KS), knowledge representation, uncertainty in knowledge, expert systems (ES), knowledge engineering.
3. Application of KS and ES in control.
4. Bio-inspired algorithms (BIA): Genetic Algorithms, Genetic Programming, Evolutionary Strategies, Artificial Immune System, Differential Evolution, SOMA, Ant Colony Optimisation (ACO), Particle Swarm Optimisation (PSO), other.
5. Application of BIA in robotics and cybernetics.
6. Agent systems and Multiagent systems (MAS).
7. Application of MAS in robotics and cybernetics.
 
Recommended or required reading:
 
Language of instruction: slovak or english
 
Notes:
 
Courses evaluation:
Assessed students in total: 63

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3,2 %19,0 %17,5 %19,0 %23,8 %17,5 %
Name of lecturer(s): Ing. Dominika Banásová (examiner, instructor)
Ing. Slavomír Kajan, PhD. (examiner, instructor, lecturer) - slovak, english
Ing. Martin Komák, PhD. (examiner, instructor)
prof. Ing. Ivan Sekaj, PhD. (examiner, instructor, lecturer, person responsible for course) - slovak, english
 
Last modification: 15. 5. 2019
Supervisor: prof. Ing. Ivan Sekaj, PhD. and programme supervisor


Last modification made by RNDr. Marian Puškár on 05/15/2019.

Type of output: