UIN2018 Knowledge-Based and Expert Systems

Faculty of Philosophy and Science in Opava
Winter 2020
Extent and Intensity
2/0/0. 4 credit(s). Type of Completion: zk (examination).
Teacher(s)
RNDr. Miroslav Langer, Ph.D. (lecturer)
RNDr. Dušan Kajzar, Ph.D. (lecturer)
Guaranteed by
RNDr. Miroslav Langer, Ph.D.
Institute of Computer Science – Faculty of Philosophy and Science in Opava
Timetable
Tue 13:05–14:40 B2
Prerequisites (in Czech)
TYP_STUDIA(B)
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
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.
The course is also listed under the following terms Winter 2005, Winter 2006, Winter 2007, Winter 2008, Winter 2009, Winter 2010, Winter 2011, Winter 2012, Winter 2013, Winter 2014, Winter 2015, Winter 2016, Winter 2017, Winter 2018, Winter 2019, Winter 2021, Winter 2022.
  • Enrolment Statistics (Winter 2020, recent)
  • Permalink: https://is.slu.cz/course/fpf/winter2020/UIN2018