FPF:UIMOIBK018 Knowledge-Based & Expert Sys. - Course Information
UIMOIBK018 Knowledge-Based and Expert Systems
Faculty of Philosophy and Science in OpavaWinter 2024
- Extent and Intensity
- 0/0/0. 4 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- RNDr. Miroslav Langer, Ph.D. (lecturer)
Mgr. Daniel Valenta, Ph.D. (lecturer) - Guaranteed by
- Ing. Jiří Blahuta, Ph.D.
Institute of Computer Science – Faculty of Philosophy and Science in Opava - Prerequisites
- Artificial Intelligence
- 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
- Information and communication technologies (programme FPF, MOI)
- Course objectives
- The course introduces students, in succession of the course Artificial Intelligence, into the issues of applications of artificial intelligence in the field of knowledge-based and expert systems.
- Learning outcomes
- Students will be able to:
- define basic terms like a finding, knowledge, their computer representation
- define terms knowledge-based and expert system
- describe the architecture and individual modules of the knowledge-based and expert system
- thoroughly describe the function of the inference engine, including the rule selection problem and heuristics
- explain the issue of quality, evaluation, and testing of the knowledge-based system
- be versed in the field of knowledge engineering
- apply the fuzzy approach in the development of the knowledge-based systems - Syllabus
- 1. History of expert and knowledge-based systems
- 2. Knowledge and the representation of knowledge
- 3. Determinism, nondeterminism, Knowledge-based/expert systems
- 4. Knowledge rule-base, fact base, basis of the inference engine
- 5. Inference engine
- 6. Other modules of the knowledge-based/expert system
- 7. Knowledge engineering
- 8. Fuzzy expert systems
- 9. Quality and evaluating of the expert systems
- Teaching methods
- Lecture
- Assessment methods
- Oral exam in the scope of discussed topics.
- Language of instruction
- Czech
- Further comments (probably available only in Czech)
- Information on the extent and intensity of the course: 8 hod/sem.
- Enrolment Statistics (recent)
- Permalink: https://is.slu.cz/course/fpf/winter2024/UIMOIBK018