FPF:UIINK40 Pract. Class in Knowledge Eng. - Course Information

UIINK40 Practical Class in Knowledge Engineering

Extent and Intensity

0/8/0. 2 credit(s). Type of Completion: z (credit).

Teacher(s)

RNDr. Jiří Martinů, Ph.D. (seminar tutor)

Guaranteed by

Mgr. Daniel Valenta, Ph.D.
Institute of Computer Science – Faculty of Philosophy and Science in Opava

Course Enrolment Limitations

The course is offered to students of any study field.

Course objectives

The aim of this practical class is to acquaint the students with the development of the expert system in the Clips development environment. The projects, expert systems can be from the various areas of human activities.

Learning outcomes

Students will be able to: - analyze the situation for the deployment of the knowledge-based/expert system in a specific case;
- work in the Clips development environment
- design and implement the knowledge-base
- develop knowledge-based systems using the shell knowledge-based systems

Syllabus

• 1. Introduction to the shell knowledge-based system Clips
• 2. Clips modules
• 3. Knowledge base
• 4. Fact base
• 5. Variables
• 6. Structure of rules
• 7. Inference and inference engine

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

recommended literature
• Clips - A Tool for Building Expert Systems. URL info

Teaching methods

Tutorials in the computer lab

Assessment methods

Credit:
Participation at tutorials min. 75%, defending the final project.

Language of instruction

Czech

Further comments (probably available only in Czech)

Study Materials
The course can also be completed outside the examination period.
Information on the extent and intensity of the course: Cvičení 8 HOD/SEM.

• Enrolment Statistics (Summer 2022, recent)
  
• Permalink: https://is.slu.cz/course/fpf/summer2022/UIINK40