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. MA Vladimir Jocović, electrical and computer engineer asst. MA Adrian Milaković, electrical and computer engineer
Lecturer/Associate (for OTC)		asst. MA Vladimir Jocović, electrical and computer engineer 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
URL to the subject page		http://ri4es.etf.rs/
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 "Collection of problems in expert systems", D. Bojic, M.. Gligorić B. Nikolic, Academic Thought, 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, 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
Colloquia		40
Seminars		20