Courses – Fakultet tehničkih nauka u Novom Sadu

Subject: Artificial intelligence for enginnering (17.IM2516)

Native organizations units: Department of Industrial Engineering and Engineering Management, Chair of Mechatronics, Robotics and Automation

Type of studies	Title

General information:

Category	Professional-applicative
Scientific or art field	Mechatronics, Robotics and Automation and Intelligent Systems
Interdisciplinary	Yes
ECTS	4

Educational goal:

The aim of the course is that students obtain knowledge in the fields of artificial intelligence and programming techniques in these areas.

Educational outcome:

The outcome of this course is to master the fields of artificial intelligence and programming techniques in these areas.

Course content:

Mathematical logic; Programming language PROLOG; The state space; Production systems; Search strategies; Knowledge representation; Machine learning; Expert systems; Neural networks; Fuzzy logic; Genetic algorithms; Swarm Intelligence; Intelligent agents; Intelligent devices; Intelligent networks; Intelligent systems

Teaching methods:

Teaching is conducted through lectures and exercises. During the exercises the student is required to do practice-oriented tasks. Knowledge testing is carried out through two tests and the final exam, while before that student has to do all the exercises provided. The final exam is in written form.

Literature:

Authors	Title	Year	Publisher	Language
Jocković, M., Ognjanović, Z., Stankovski, S.	Veštačka inteligencija, inteligentne mašine i sistemi	1997	Krug, Beograd	Serbian language
Stevan Stankovski	Inteligentni sistemi - skripta	2012		Serbian language
Bojić D., Velašević D., Mišić V.	Zbirka zadataka iz ekspertnih sistema	1996		Serbian language
Kukolj, D.	Sistemi zasnovani na računarskoj inteligenciji	2007	Fakultet tehničkih nauka, Novi Sad	Serbian language

Knowledge evaluation:

Course activity	Pre-examination	Obligations	Number of points
Test	Yes	Yes	10.00
Coloquium exam	No	No	20.00
Coloquium exam	No	No	20.00
Test	Yes	Yes	10.00
Exercise attendance	Yes	Yes	5.00
Lecture attendance	Yes	Yes	5.00
Written part of the exam - tasks and theory	No	Yes	70.00