Faculty of Technical Sciences

Subject: Knowledge Based Systems (17.E2K42)

Native organizations units: Sub-department for Applied Computer Science and Informatics
General information:
 
Category Theoretical-methodological
Scientific or art field Applied Computer Science and Informatics
Interdisciplinary No
ECTS 6
Educational goal:

Students learn about concepts, techniques and selected applicative examples of knowledge based systems.

Educational outcome:

Students gain knowledge which enables them to design and implement knowledge based systems and their application.

Course content:

Structure of knowledge based systems. Representation of knowledge. Deduction and conclusion. Design of knowledge based systems. Implementation of knowledge based systems. Software tools for developing knowledge based systems. Application of knowledge based systems.

Teaching methods:

Lectures, Computer practice. Consultations. Practical part of the course is examined in the computer laboratory where students solve obligatory tasks. Students can also do nonobligatory laboratory tasks. The task are marked. Part of the course which forms a logical whole can be taken in the form of partial exam – colloquium (2-4). Partial exam is a part of the examination. A student can take the next partial examination if he/she has achieved at least 30% of the points at the previous one. Partial examinations are taken in written form. The final examination is oral. Course grade is formed on the basis of lecture attendance, marks on the obligatory and nonobligatory tasks, success at partial examinations and final examination.

Literature:
Authors Title Year Publisher Language
Srinivas Sajja, P., Akerkar, R. Advanced Knowledge Based Systems : Models, Applications & Research 2010 TMRF e-Book English
Joseph Giarratano,Gary Riley Expert Systems - Principles and Programming, 3rd ed. 1998 PWS Publishing, Boston, MA English
Friedman Hill, E. Jess The Rule Engine for the Java Platform 2008 Sandia National Laboratories English
Peter Jackson Introduction to Expert Systems, 3rd ed. 1999 Addison-Wesley English
Rajendra Akerkar, Priti Sajja Knowledge-Based Systems 2010 Jones & Bartlett Learning English
Berthold, M.R. Bisociative Knowledge Discovery : An Introduction to Concept, Algorithms, Tools, and Applications 2012 Springer English
Meusburger, P., Werlen, B., Suarsana, L. Knowledge and Action 2017 Springer International Publishing English
Knowledge evaluation:
Course activity Pre-examination Obligations Number of points
Theoretical part of the exam No Yes 30.00
Homework Yes Yes 5.00
Lecture attendance Yes Yes 5.00
Homework Yes Yes 5.00
Computer excersise defence Yes Yes 45.00
Homework Yes Yes 5.00
Computer exercise attendance Yes Yes 5.00
Lecturers:

doc. dr Nikolić Siniša

Assistant Professor

Lectures
API Image

vanr. prof. Segedinac Milan

Associate Professor

Lectures

Asistent Ranković 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.