FPF:UIINP40 Knowledge Engineering Practice - Course Information
UIINP40 Knowledge Engineering Practice
Faculty of Philosophy and Science in OpavaSummer 2020
- Extent and Intensity
- 0/2/0. 2 credit(s). Type of Completion: z (credit).
- Teacher(s)
- RNDr. Miroslav Langer, Ph.D. (seminar tutor)
- Guaranteed by
- RNDr. Miroslav Langer, Ph.D.
Institute of Computer Science – Faculty of Philosophy and Science in Opava - Prerequisites (in Czech)
- TYP_STUDIA(B)
- Course Enrolment Limitations
- The course is offered to students of any study field.
- Course objectives
- The goal of this practicum is to provide basic practice of building up an expert system in the Clips development environment. Particular projects, expert systems that are designed and implemented in this practicum, concern a wide range of human activities.
- Learning outcomes
- Students will be able to:
- describe important features of knowledge-based and expert systems;
- analyze the situation for the deployment of the knowledge-based/expert system in a specific case; - Syllabus
- 1. Introduction to the empty knowledge-based system Clips
- 2. Clips modules
- 3. Knowledge base
- 4. Fact base
- 5. Variables
- 6. Structure of rules
- 7. Inference and inference mechanism
- Literature
- required literature
- Jozef Kelemen, Aleš Kubík, Imrich Lenharčík, Peter Mikulecký,. Tvorba expertních systémů v prostředí CLIPS - podrobný průvodce. ISBN 80-7169-501-7. info
- Teaching methods
- Tutorials in computer lab
Discussions - Assessment methods
- Credit:
Participation in exercises min. 75%, practical verification of study results. - Language of instruction
- Czech
- Further Comments
- The course can also be completed outside the examination period.
- Enrolment Statistics (Summer 2020, recent)
- Permalink: https://is.slu.cz/course/fpf/summer2020/UIINP40