Faculty of Technical Sciences

Subject: Knowledge Engineering (19.E2S41)

Native organizations units: No data
General information:
 
Category Theoretical-methodological
Scientific or art field Applied Computer Science and Informatics
Interdisciplinary No
ECTS 5
Educational goal:

Gaining the knowledge necessary for (1) symbolic knowledge representation and symbolic reasoning and (2) development of expert systems.

Educational outcome:

After successfully completing the course a student (1) can understand basic knowledge engineering concepts and (2) is capable to design and develop expert systems.

Course content:

(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 (RDF, RDFS, OWL, SPARQL, & RuleML) & (5) expert systems and decision-support systems (design & implementation).

Teaching methods:

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.

Literature:
Authors Title Year Publisher Language
Brachman, R. J. and Levesque H. J. Knowledge Representation and Reasoning 2004 Amsterdam: Elsevier Serbian language
Antoniou, G. and van Harmelen, F. A Semantic Web Primer 2004 Cambridge: MIT Press Serbian language
Russell, S. and Norvig, P. Artificial Intelligence, A Modern Approach, Third edition 2010 London: Pearson Education Serbian language
Knowledge evaluation:
Course activity Pre-examination Obligations Number of points
Project defence Yes Yes 50.00
Oral part of the exam No Yes 50.00
Lecturers:
API Image

prof. dr Gostojić Stevan

Full Professor

Lectures

Asistent Kovačević Tamara

Assistant - Master

Computational classes

Faculty of Technical Sciences

© 2024. Faculty of Technical Sciences.

Contact:

Address: Trg Dositeja Obradovića 6, 21102 Novi Sad

Phone:  (+381) 21 450 810
(+381) 21 6350 413

Fax : (+381) 21 458 133
Emejl: ftndean@uns.ac.rs

© 2024. Faculty of Technical Sciences.