FPF:UIN2018 Knowledge-Based and Expert Sys - Course Information
UIN2018 Knowledge-Based and Expert Systems
Faculty of Philosophy and Science in OpavaWinter 2021
- Extent and Intensity
- 2/0/0. 4 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- RNDr. Miroslav Langer, Ph.D. (lecturer)
Mgr. Daniel Valenta, Ph.D. (lecturer) - Guaranteed by
- RNDr. Miroslav Langer, Ph.D.
Institute of Computer Science – Faculty of Philosophy and Science in Opava - Timetable
- Mon 18:05–19:40 B2
- Prerequisites (in Czech)
- ! UIAI034 Knowledge-Based and Expert Sys
- 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
- Applied Computer Science (programme FPF, B1802 AplI)
- Information studies with the focus on library science (programme FPF, B7201 InSK)
- Computer Science and Technology (programme FPF, B1801 Inf)
- Course objectives
- The course introduces into the scope of the knowledge-based and expert systems. It follows and extends knowledge from the Artificial intelligence and Cognitive science courses. Students familiarize themselves with brief history of this quite new branch of the science, with the issue of the productive solving methods, with the architecture of the systems and with the issue of the checking, verifying and testing of the systems.
- Syllabus
- 1. Knowledge-based and expert systems history
2. Findings and knowledge, knowledge representation
3. Determinism, Non-determinism, knowledge-based systems
4. Knowledge base, facts base, basic overview of the inference mechanism
5. Inference mechanism
6. Other modules of the knowledge-based and expert systems
7. Knowledge engineering
8. Fuzzy expert systems
9. The quality of the knowledge-based and expert systems
- 1. Knowledge-based and expert systems history
- Literature
- recommended literature
- MAŘÍK. Umělá inteligence III. Praha, 2001. info
- KELEMEN, KUBÍK, LENHARČÍK, MIKULECKÝ. Tvorba expertních systémů v prostředí CLIPS. Praha, 1999. info
- MAŘÍK. Umělá inteligence II. Praha, 1997. info
- KELEMEN, LIDAY. Expertné systémy pre prax. Bratislava, 1996. info
- STEFIK. Introduction to Knowledge Systems. San Francisco, 1995. info
- MAŘÍK. Umělá inteligence I. Praha, 1993. info
- POPPER, KELEMEN. Expertné systémy. Bratislava, 1989. info
- Teaching methods
- Interactive lecture
Lecture with a video analysis - Assessment methods
- Exam
- Language of instruction
- Czech
- Further comments (probably available only in Czech)
- Study Materials
The course can also be completed outside the examination period. - Teacher's information
- Pass the oral exam from the scope of the course.
- Enrolment Statistics (Winter 2021, recent)
- Permalink: https://is.slu.cz/course/fpf/winter2021/UIN2018