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)
Lecturer/Associate (for practice)
Lecturer/Associate (for OTC)
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 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.
  1. "Artificial Intelligence - A Modern Approach", S. Russel, P. Norvig (publisher: Pearson; 3 edition; 2009)
  2. "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