Intelligent Systems

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.

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.

The lectures provide a theoretical background on selected topics together with simple practical demonstrations. A complete study material is available online.

Practical work is being performed in the laboratory environment. Individual projects are based on selected topics and presented by students.