Course: Information and Knowledge-based Systems

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Course title Information and Knowledge-based Systems
Course code KIN/IZS-D
Organizational form of instruction Lecture
Level of course Doctoral
Year of study not specified
Semester Winter and summer
Number of ECTS credits 15
Language of instruction Czech
Status of course unspecified
Form of instruction Face-to-face
Work placements Course does not contain work placement
Recommended optional programme components None
Lecturer(s)
  • Mikulecký Peter, prof. RNDr. CSc.
Course content
1. General introduction into the area of information and knowledge-based systems. 2. Centralized and decentralized information systems, computer networks. 3. Architectures of information systems. 4. Applications of information systems, maintenance and innovations. Information system and its place in the organization culture. 5. Multimedia systems. 6. The Life Cycle of information systems, their development. 7. Foundations of artificial intelligence. 8. Architecture of knowledge-based systems; centralized and decentralized solutions. 9. Introduction to knowledge engineering. 10. The Life Cycle of a knowledge project. Development of knowledge-based systems. 11. Agent-based architecture, multi-agent systems. 12. Perspectives of information and knowledge-based systems, their mutual convergence. 13. Data and solution protection. 14. Legal and ethical aspects.

Learning activities and teaching methods
Monological explanation (lecture, presentation,briefing), Self-study (text study, reading, problematic tasks, practical tasks, experiments, research, written assignments)
  • Class attendance - 560 hours per semester
Learning outcomes
The goal of the subject is to introduce doctoral students into most recent trends, practical experience, as well as theoretical knowledge from the area of research, development, application, as well as maintenance of information and knowledge-based systems at the level enabling them to achieve original scientific results in the scope of their doctoral dissertations.
Students obtain knowledge in given course in accordance with requirements and course programme.
Prerequisites
unspecified

Assessment methods and criteria
Oral exam, Essay, Student's performance analysis

Essay and its presentation
Recommended literature
  • Awad, E.M. & Ghaziri, H. M. Knowledge Management. Upper Saddle River, NJ: Prentice Hall. ISBN 0-13-034820-1.
  • Bureš, V. Znalostní management a proces jeho zavádění: příručka pro praxi. Grada Publishing, Praha, 2007.
  • Dalkir, K. Knowledge Management in Theory and Practice. Elsevier Butterworth - Heinemann, Burlington, MA, 2005. ISBN 0-7506-7864-X.
  • Davenport, T., Prusak, L. Working knowledge: How organizations manage what they know. Harvard Business School Press, Boston, 1998. ISBN 1-57851-301-4.
  • Kelemen, J. a kol. Pozvanie do znalostnej spoločnosti. Iura Edition, Bratislava, 2007.
  • Mládková, L. Moderní přístupy k managementu: Tacitní znalost a jak ji řídit. Nakladatelství C. H. Beck Praha, 2005. ISBN 80-7179-310-8.
  • Russel,S., Norvig, P. Artificial Intelligence - A Modern Approach. Lawrence Erlbaum, Hillsdale, 1995.
  • Stefik, M. Introduction to Knowledge Systems. Morgan Kaufman, San Francisco, 1995.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester