FPF:UIN2019 Knowledge Engineering Practice - Course Information
UIN2019 Knowledge Engineering Practice
Faculty of Philosophy and Science in OpavaSummer 2019
- Extent and Intensity
- 0/2/0. 4 credit(s). Type of Completion: z (credit).
- Teacher(s)
- Mgr. Jan Drastik, Ph.D. (seminar tutor)
RNDr. Miroslav Langer, Ph.D. (seminar tutor)
Mgr. Jakub Skácel (seminar tutor) - Guaranteed by
- RNDr. Miroslav Langer, 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
- Computer Science and Technology (programme FPF, B1801 Inf)
- 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 and expert systems that are designed and implemented in this practicum concern a wide range of human activities.
- Syllabus
- 1. Introduction into Shell knowledge-based system Clips
2. Clips modules
3. Knowledge base
4. Facts base
5. Variables
6. Rules structures
7. Inference and inference mechanisms
- 1. Introduction into Shell knowledge-based system Clips
- Literature
- Teaching methods
- Interactive lecture
Lecture with a video analysis - Assessment methods
- Credit
- Language of instruction
- Czech
- Further comments (probably available only in Czech)
- The course can also be completed outside the examination period.
- Teacher's information
- Build up the project in the Clips development environment.
- Enrolment Statistics (Summer 2019, recent)
- Permalink: https://is.slu.cz/course/fpf/summer2019/UIN2019