Intelligent Systems

Intelligence of natural and artificial systems: historical definition of intelligence and overview of the development of intelligent systems. User interaction with Information-Communication Technologies. Intelligent systems modeling and prototyping of socio-technical systems. The use of intelligence in information and communication systems: user interfaces, intelligent terminals, ubiquity, identification, user modelling, data mining, personalization. Methods and algorithms of intelligent systems and machine learning algorithms. Knowledge analysis and modelling, methods of learning. Building intelligent systems: data acquisition, data processing, and system’s response. Methods for model validation. 

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. Familiarity, understanding and ability to use appropriate machine learning algorithms.

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.