OPF:INFNPEXS Expert Systems - Course Information
INFNPEXS Expert Systems
School of Business Administration in KarvinaWinter 2013
- Extent and Intensity
- 2/1/0. 4 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- Ing. Jan Górecki, Ph.D. (lecturer)
prof. RNDr. Jiří Ivánek, CSc. (lecturer)
Ing. Jan Górecki, Ph.D. (seminar tutor) - Guaranteed by
- prof. RNDr. Jiří Ivánek, CSc.
Department of Informatics and Mathematics – School of Business Administration in Karvina - Prerequisites
- None
- Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
- fields of study / plans the course is directly associated with
- Business Economics in Trade and Services (programme OPF, N_EKOMAN)
- Managerial Informatics (programme OPF, N_SYSINF)
- Marketing and Management (programme OPF, N_EKOMAN)
- Course objectives
- The students of the course gain theoretical and practical knowledge in the following fields: artificial intelligence, expert systems and knowledge engineering. The main aim of the course is to explain the use of artificial intelligence and expert systems for supporting of a manager in decision making process in business, marketing, finance, banking, public sector, etc. The students also get in contact with selected tools for creation of expert systems and knowledge discovery from databases.
- Syllabus
- 1. Artificial intelligence.
2. The research domains of artificial intelligence.
3. Knowledge representation
4. Expert systems.
5. Presentation of expert system.
6. Creation and architecture of an expert system.
7. Knowledge extraction
8. Case study
9. Dealing with uncertainty and vagueness
10. Fuzzy sets
11. Data mining
12. Decision trees
13. Association rules
- 1. Artificial intelligence.
- Literature
- required literature
- CLARK, B., FOKOUE, E., ZHANG, H. H. Principles and theory for data mining and machine learning. Springer, New York, 2009. ISBN 978-0-387-98134-5. info
- IVÁNEK, Jiří, Robert KEMPNÝ and Vladimír LAŠ. Znalostní inženýrství. Karviná: Obchodně podnikatelská fakulta v Karviné Slezská univerzita v Opavě, 2007. info
- GIARRATANO, J. C., RILEY, G. Expert Systems: Principles and Programming. PWS Publishing Co. Boston, MA, USA, 2004. ISBN 0-534-38447-1. info
- DVOŘÁK. J. Expertní systémy. FSI VUT, 2004. info
- BERKA, P. Dobývání znalostí z databází. Academia, Praha, 2003. ISBN 80-200-1062-9. info
- JACKSON, P. Introduction to expert systems. Addison-Wesley, Boston, MA, USA, 1998. ISBN 0-201-87686-8. info
- recommended literature
- MAŘÍK, V., ŠTĚPÁNKOVÁ, O., LAŽANSKÝ, J. a kol. Umělá inteligence 1-5. Academia, Praha, 1993. info
- Teaching methods
- Skills demonstration
Seminar classes - Assessment methods
- Grade
- Language of instruction
- Czech
- Further comments (probably available only in Czech)
- The course can also be completed outside the examination period.
- Teacher's information
- attendance in seminars 70 %, seminar paper, final combined exam
Activity Difficulty [h] Ostatní studijní zátěž 40 Přednáška 26 Seminář 13 Zkouška 40 Summary 119
- Enrolment Statistics (recent)
- Permalink: https://is.slu.cz/course/opf/winter2013/INFNPEXS