Subject: Knowledge Engineering (19.E2S41 )
Gaining the knowledge necessary for (1) symbolic knowledge representation and symbolic reasoning and (2) development of expert systems.
After successfully completing the course a student (1) can understand basic knowledge engineering concepts and (2) is capable to design and develop expert systems.
(1) introduction to knowledge engineering, (2) knowledge representation methods (propositional logic, predicate logic, description logic & ontologies, rules, arguments, cases and fuzziness), (3) reasoning methods (case-based reasoning, case-bsed reasoning, fuzzy reasoning), (4) knowledge engineering standards (
Teaching methods include: lectures, computer practice classes and consultations. During the lectures the content of the course is presented using the necessary didactic tools while active participation of students is encouraged. The practical aspect of the course is covered at computer practice classes through assignments which students do independently or with the help of teaching assistants. The course lecturer and teaching assistants have consultations with the students. During the consultations the students are given additional explanations of the material covered at the lecture and practice classes.
| Authors | Title | Year | Publisher | Language |
|---|
| Course activity | Pre-examination | Obligations | Number of points |
|---|---|---|---|
| Project defence | Yes | Yes | 50.00 |
| Oral part of the exam | No | Yes | 50.00 |
Prof. Gostojić Stevan
Full Professor
Lectures
Assistant - Master Kovačević Tamara
Assistant - Master
Computational classes
Faculty of Technical Sciences
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Contact:
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© 2024. Faculty of Technical Sciences.