UIAI034 Knowledge-Based and Expert Systems

Faculty of Philosophy and Science in Opava
Winter 2013
Extent and Intensity
2/0/0. 4 credit(s). Type of Completion: zk (examination).
Teacher(s)
doc. Ing. Petr Čermák, Ph.D. (lecturer)
Guaranteed by
doc. Ing. Petr Čermák, Ph.D.
Institute of Computer Science – Faculty of Philosophy and Science in Opava
Prerequisites (in Czech)
! UIN2018 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
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
Language of instruction
Czech
Further Comments
The course can also be completed outside the examination period.
Teacher's information
Pass the oral exam from the scope of the course.
The course is also listed under the following terms Winter 2012.
  • Enrolment Statistics (recent)
  • Permalink: https://is.slu.cz/course/fpf/winter2013/UIAI034