IR4ES - Expert Systems

Course specification
Course title		Expert Systems
Acronym		IR4ES
Study programme		Electrical Engineering and Computing
Module		Computer Engineering and Informatics
Type of study		bachelor academic studies
Lecturer (for classes)		professor PhD Boško Nikolić
Lecturer/Associate (for practice)		professor PhD Dražen Drašković
Lecturer/Associate (for OTC)		professor PhD Dražen Drašković
ESPB		6.0	Status	mandatory
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. Formal 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 simulation of theoretical problems. Solving and demonstrations of practical tasks.
Literature
"Artificial Intelligence - A Modern Approach", S. Russel, P. Norvig (Original title) "Zbirka zadataka iz Ekspertskih sistema", D. Bojić, M. Gligorić, B. Nikolić, Akademska misao, 2009 (Original title)
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, labs with visual simulations
Knowledge score (maximum points 100)
Pre obligations		Points	Final exam	Points
Activites during lectures		0	Test paper	40
Practical lessons		0	Oral examination	0
Projects		20
Colloquia		40
Seminars		0