OS3ESM - Expert Systems Decision Making

Course specification
Course title Expert Systems Decision Making
Acronym OS3ESM
Study programme Electrical Engineering and Computing
Module Signals and Systems
Type of study bachelor academic studies
Lecturer (for classes)
    Lecturer/Associate (for practice)
      Lecturer/Associate (for OTC)
        ESPB 6.0 Status elective
        The goal Introducing students to the basic concepts and techniques of artificial intelligence and expert systems. During the course students will learn the most popular models for the implementation of these types of applications. Students will be trained to recognize a problem that belongs to the field of artificial intelligence and expert systems, and based on his knowledge application najpodesniju and most effective method for its solution.
        The outcome
        Contents of lectures Search Strategy: possible algorithms, performance, efficiency, complexity. Concluding systems - semantic networks and descriptive logic; Trip - kind of problem. Knowledge and reasoning and uncertain environment, Fuzzy logic. Formation, representation and opreacije of fuzzy sets Evan conclusion. Problem - solving strategies. Strips algorithm. Induction systems. Visual simulation theoretically treated the problem. Solving practical tasks and demonstrations.
        Contents of exercises
        1. "Artificial Intelligence - A Modern Approach", S. Russel, P. Norvig (Original title)
        2. "Zbirka zadataka iz Ekspertskih sistema", Velašević, Mišić, Bojić, Akademska misao (Original title)
        Number of hours per week during the semester/trimester/year
        Lectures Exercises OTC Study and Research Other classes
        3 1 1
        Methods of teaching
        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