Intelligent Systems

Subject description

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.

The subject is taught in programs

Electrical engineering 1st level

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.

Teaching and learning methods

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.

Expected study results

After successful completion of the course, students should be able to:

Understand the intelligence in modern ICT systems.

Use of data acquisition, processing and analysis techniques.

Understand and use basics of modeling  interactive communication processes.

Use of modern simulation tools for machine learning.

Solve machine learning problems with a set of selected methods.

Basic sources and literature

1. Hopgood, Adrian A. Intelligent systems for engineers and scientists. CRC press, 3. izdaja, 2013.

2. A. Steventon, S. Wright, Intelligent Spaces: The Application of Pervasive ICT, Springer, 2005.

Stay up to date

University of Ljubljana, Faculty of Electrical Engineering Tržaška cesta 25, 1000 Ljubljana

E:  dekanat@fe.uni-lj.si T:  01 4768 411