13E114IS - Intelligent Systems

Course specification
Course title		Intelligent Systems
Acronym		13E114IS
Study programme		Electrical Engineering and Computing
Module		Computer Engineering and Informatics
Type of study		bachelor academic studies
Lecturer (for classes)		professor PhD Boško Nikolić professor PhD Dražen Drašković
Lecturer/Associate (for practice)		asst. professor PhD Vladimir Jocović asst. MA Adrian Milaković, electrical and computer engineer
Lecturer/Associate (for OTC)		asst. professor PhD Vladimir Jocović asst. MA Adrian Milaković, electrical and computer engineer
ESPB		6.0	Status	elective
Condition		none
The goal		Introduce students to the basic concepts and techniques of artificial intelligence and expert systems. During the course, students will study the implementation of the popular models of these types of applications.
The outcome		Students will be able to recognize a problem that belongs to the field of artificial intelligence and expert systems, and based on their knowledge apply the most appropriate and most effective method for its solution.
Contents
Contents of lectures		Search strategies: algorithms, performance, efficiency, complexity. Game theory - Minimax algorithm and alpha-beta pruning. Predicate (first-order) logic. Planning - types and the problem. Knowledge and reasoning in uncertain environment. Bayesian networks. Production systems. Problem-solving strategies. Induction systems. Introduction to machine learning.
Contents of exercises		Visual simulations of theoretical problems. Solving and demonstrations of practical tasks.
Literature
"Artificial Intelligence - A Modern Approach", S. Russel, P. Norvig (publisher: Pearson; 3 edition; 2009) "Collection of problems from Expert Systems", D. Bojić, M. Gligorić, B. Nikolić, Akademska misao, Belgrade, 2009
Number of hours per week during the semester/trimester/year
Lectures	Exercises	OTC	Study and Research	Other classes
2	2	1
Methods of teaching		Lectures, presentations, practical exercises, individual work on projects, laboratory exercises with visual simulations
Knowledge score (maximum points 100)
Pre obligations		Points	Final exam	Points
Activites during lectures		0	Test paper	40
Practical lessons		20	Oral examination	0
Projects		0
Colloquia		40
Seminars		0