Faculty of Information Technology, BUT

Course details

Intelligent Systems

SIN Acad. year 2005/2006 Winter semester 5 credits

Introduction into intelligent systems theory, uncertain and incomplete information processing, intelligent systems design particularities, modeling and prototyping, intelligent control systems intelligent sensor systems, intelligent information systems, data mining, expert systems, distributed artificial intelligence, multiagent systems, robotic and multirobotic systems, biometric systems.

Guarantor

Language of instruction

Czech, English

Completion

Examination (written)

Time span

39 hrs lectures, 13 hrs projects

Assessment points

50 exam, 20 half-term test, 30 projects

Department

Lecturer

Subject specific learning outcomes and competences

Students acquire knowledge of principles of intelligent systems and so they will be able to design and construct such systems.

Learning objectives

To acquaint students with theory and principles of intelligent systems and with representative practical systems.

Prerequisite kwnowledge and skills

Artificial intelligence basics: Problem solving, state space search, problem decomposition, machine learning principles, statistical and structural pattern recognition. Fundamentals of computer vision. Base principles of natural language processing.

Study literature

  1. Russel, S., Norvig, P.: Artificial Intelligence, a Modern Approach, Pearson Education Inc., 2003, ISBN 0-13-080302-2
  2. Negnevitsky, M.: Artificial Intelligence, Addison Wesley, 2001, ISBN 0-321-20466-2

Fundamental literature

  1. Russel, S., Norvig, P.: Artificial Intelligence, a Modern Approach, Pearson Education Inc., 2003, ISBN 0-13-080302-2
  2. Negnevitsky, M.: Artificial Intelligence, Addison Wesley, 2001, ISBN 0-321-20466-2

Syllabus of lectures

  1. Introduction
  2. Softcomputing
  3. Agent systems
  4. Machine learning
  5. Intelligent control systems
  6. Expert systems
  7. Planing
  8. Distributed AI
  9. Robotics
  10. Intelligent sensor systems
  11. Datamining, knowledge discovery
  12. Biometric systems
  13. Summary

Syllabus - others, projects and individual work of students

Individual project - design of (part of) simple intelligent system

Progress assessment

  • Mid-term written test 
  • Individuální project

     

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