Ambient intelligence

Course description

Ambient intelligence is an established concept that combines many fields, artificial intelligence, Internet of Things, user interfaces, etc. In the course we are committed to the field of Green transition, however students can choose domain related to their doctoral topic. Students prepare a literature review and simple model or prototype to demonstrate the chosen concept of ambient intelligence. Modelling and prototyping involves tools familiar to students. Typical topics include context awarness, providing feedback, alternative user interfaces, etc. Ambient intelligence puts the user at the center of modern systems and services development. Applications in various socio-technical systems with an emphasis on Green Transition topics.

Course is carried out on study programme

Objectives and competences

The goal is to present an interdisciplinary field where student integrates and extends his/her knowledge on ambient intelligence with selected case study.

Understanding putting user in the center in modern information-communication systems and services.

Analysis and designing of socio-technical systems based on the Internet of Things architecture.

Learning and teaching methods

Consultations and supervised project work.

Intended learning outcomes

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

Understand roles of communications and information technologies and their use in different socio-technical systems.

Using approaches to modeling and prototyping systems and services that are based on the Internet of Things architecture.

Reference nosilca

  1. ZAJC, Matej, KOLENC, Mitja, SULJANOVIĆ, Nermin. Virtual power plant communication system architecture. V: YANG, Qiang (ur.), YANG, Ting (ur.), LI, Wei (ur.). Smart power distribution systems : control, communication, and optimization. London [etc.]: Elsevier: Academic Press, cop. 2019. Str. 231-250, ilustr. ISBN 978-0-12-812325-6, ISBN 0-12-812325-7.
  2. MILEV, Ivana, PRISLAN, Lev, ZAJC, Matej. Energy portal design and evaluation for consumer active participation in energy services : seven-month field study with 234 Slovenian households. Electronics.
  3. MEHINOVIĆ, Ajla, ZAJC, Matej, SULJANOVIĆ, Nermin. Interpretation and quantification of the flexibility sources location on the flexibility service in the distribution grid. Energies. Jan.-2 2023, iss. 2, 590, str. 1-19, ilustr. ISSN 1996-107
  4. DERVIŠEVIĆ, Amila, ZAJC, Matej, SULJANOVIĆ, Nermin. Semantično modeliranje podatkov z grafnimi bazami za podporo interoperabilnosti v pametnih omrežjih. Elektrotehniški vestnik. [Slovenska tiskana izd.]. 2021, letn. 88, št. 5, str. 241-246, ilustr. ISSN 0013-5852.
  5. KOLENC, Mitja, IHLE, Norman, GUTSCHI, Christoph, NEMČEK, Peter, BREITKREUZ, Thomas, GÖDDERZ, Karlheinz, SULJANOVIĆ, Nermin, ZAJC, Matej. Virtual power plant architecture using OpenADR 2.0b for dynamic charging of automated guided vehicles. International journal of electrical power & energy systems. [Print ed.]. Jan. 2019, vol. 104, str. 370-382, ilustr. ISSN 0142-0615.

Study materials

1. Mahmood Z. (ed.) Guide to Ambient Intelligence in the IoT Environment: Principles, Technologies and Applications (Computer Communications and Networks). Springer, 2019.

2. Gottschalk M., Uslar M., Delfs C. The Use Case and Smart Grid Architecture Model Approach: The IEC 62559-2 Use Case Template and the SGAM applied in various domains. SpringerBriefs in Energy, 1st ed., 2017

3. Benyon D. Designing User Experience: A guide to HCI, UX and interaction design. Pearson, 4th Edition, 2019.

4. Wiberg, M. (2018). The materiality of interaction: Notes on the materials of interaction design. MIT press.

Bodi na tekočem

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

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