Course detail

Intelligent Systems

FIT-SINAcad. year: 2010/2011

Not applicable.

Language of instruction

Czech

Number of ECTS credits

5

Mode of study

Not applicable.

Guarantor

doc. Ing. Vladimír Janoušek, Ph.D.

Department

Department of Intelligent Systems (UITS)

Learning outcomes of the course unit

Not applicable.

Prerequisites

Not applicable.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Not applicable.

Assesment methods and criteria linked to learning outcomes

Not applicable.

Course curriculum

Not applicable.

Work placements

Not applicable.

Aims

Not applicable.

Specification of controlled education, way of implementation and compensation for absences

Not applicable.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Not applicable.

Recommended reading

  1. Russel, S., Norvig, P.: Artificial Intelligence, a Modern Approach, Pearson Education Inc., 2003, ISBN 0-13-080302-2
  2. Zeigler, B.P.: Theory of Modeling and Simulation, Academic Press; 2 edition (March 15, 2000), ISBN 978-0127784557
  3. Valeš, M.: Inteligentní dům. Brno, Vydavatelství ERA, 2006.
  4. Přibyl, P., Svítek, M.: Inteligentní dopravní systémy, Nakladatelství BEN, Praha 2001, ISBN 80-7300-029-6
  5. Automatizace. http://www.automatizace.cz/

Classification of course in study plans

  • Programme IT-MGR-2 Master's

    branch MGM , any year of study, winter semester, compulsory-optional
    branch MIS , any year of study, winter semester, compulsory-optional
    branch MBS , any year of study, winter semester, elective
    branch MMI , any year of study, winter semester, elective
    branch MMM , any year of study, winter semester, elective
    branch MBI , 1. year of study, winter semester, compulsory-optional
    branch MPV , 1. year of study, winter semester, compulsory-optional
    branch MPS , 1. year of study, winter semester, compulsory
    branch MSK , 2. year of study, winter semester, compulsory
    branch MIN , 2. year of study, winter semester, compulsory

Type of course unit

 

Lecture

26 hours, optionally

Teacher / Lecturer

doc. Ing. Vladimír Janoušek, Ph.D.

Syllabus

  1. Introduction. Intelligent systems overview
  2. Agent architectures
  3. Simulation modeling in the development of intelligent systems
  4. Fuzzy logic and fuzzy control
  5. Learning systems. Neural networks
  6. Genetic algorithms. Genetic programming
  7. Markov decision process
  8. Reinforcement learning
  9. Planing and Scheduling 
  10. Robotic systems
  11. Multiagent systems
  12. Selected applications
  13. Summary

Fundamentals seminar

10 hours, optionally

Teacher / Lecturer

doc. Ing. Vladimír Janoušek, Ph.D.

Exercise in computer lab

2 hours, optionally

Teacher / Lecturer

doc. Ing. Vladimír Janoušek, Ph.D.

Project

14 hours, optionally

Teacher / Lecturer

doc. Ing. Vladimír Janoušek, Ph.D.