Intelligent Systems

Course 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.

Course is carried out on study programme

Elektrotehnika 1. stopnja

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.

Learning and teaching 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.

Intended learning outcomes

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.

Reference nosilca

1. GAČNIK, Mateja, ISTENIČ STARČIČ, Andreja, ZALETELJ, Janez, ZAJC, Matej. User-centred app design for speech sound disorders interventions with tablet computers. Universal access in the information society, ISSN 1615-5289, 2017, letn. 16.

2. ISTENIČ STARČIČ, Andreja, COTIČ, Mara, and ZAJC, Matej. Design-based research on the use of a tangible user interface for geometry teaching in an inclusive classroom. British journal of educational technology, ISSN 0007-1013, sep. 2013, vol. 44, no. 5, str. 729-744, ilustr., doi: 10.1111/j.1467-8535.2012.01341.x.

3. PLESNIK, Emil, MALGINA, Olga, TASIČ, Jurij F., and ZAJC, Matej. Detection of the electrocardiogram fiducial points in the phase space using the euclidian distance measure. Medical engineering & physics, ISSN 1350-4533. [Print ed.], May 2012, vol. 34, no. 4, str. 524-529, ilustr.  http://dx.doi.org/10.1016/j.medengphy.2012.01.005, doi: 10.1016/j.medengphy.2012.01.005.

4. MEŽA, Marko, BRESKVAR, Marko, KOŠIR, Andrej, BRICL, Irena, TASIČ, Jurij F., ROŽMAN, Primož. Telemedicine in the blood transfusion laboratory – remote interpretation of pre-transfusion tests. Journal of telemedicine and telecare, ISSN 1357-633X, 2007, vol. 13, no. 7, str. 357-362.

5. MEŽA, Marko, KOŠIR, Janja, STRLE, Gregor, KOŠIR, Andrej. Towards automatic real-time estimation of observed learner's attention using psychophysiological and affective signals : the touch-typing study case. IEEE access, doi: 10.1109/ACCESS.2017.2750758.

Study materials

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.

Bodi na tekočem

Univerza v Ljubljani, Fakulteta za elektrotehniko, Tržaška cesta 25, 1000 Ljubljana

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