Intelligent Systems

Higher education teachers: Meža Marko, Zajc Matej

Subject description

Prerequisits:

• Enrollment in the study year.

Content (Syllabus outline):

Intelligence of natural and artificial systems: historical definition of intelligence and overview of the development of intelligent systems. Mathematical background and intelligent systems modeling, knowledge representation, learning methods. Intelligent spaces: the ability of today's technology and prospects for the future. The use of intelligence in information and communication systems: user interfaces, intelligent terminals, ubiquity, identification, modeling users, data mining, personalization. Methods and algorithms of intelligent systems. Knowledge analysis and modeling, methods of learning. Definition of the reference architecture and development of system intelligence. Building intelligent systems: data acquisition, data processing, and system’s response.

Objectives and competences:

Understanding intelligence in modern information and communication systems in relation to the user. Practical use of tools and techniques to support modeling, decision-making and in the management of information.

Intended learning outcomes:

Understanding intelligence in modern ICT systems and data acquisition , processing and analysis. Understanding basics of modeling interactive communication processes.

Learning and teaching methods:

Lectures with theoretical foundations and practical oriented labs.

Study materials