Faculty of Technical Sciences

Subject: Intelligent software infrastructure systems (17.ESI126)

General information:
 
Category Scientific-professional
Scientific or art field Primenjeno softversko inženjerstvo
ECTS 6

The main course objective is acquiring knowledge on intelligent software infrastructure systems, socio-technical infrastructure system models and application in various industries. Deep learning, evolutionary algorithms, stochastic optimizations and software agents are main components of intelligent software infrastructure systems. Course objective is to obtain knowledge on models of the stated components.

Through this course students will: Understand model of socio-technical infrastructure system. – Understand model of software agent as a decision process support in infrastructure systems. – Understand models of computational intelligence in infrastructure systems. – Understand evolutionary algorithms models in infrastructure systems.

– Socio-technical infrastructure systems. – Agent-based modelling for decision support in socio-technical infrastructure systems. – Collective-intelligence of multi-agent system. – Deep learning in infrastructure systems. – Evolutionary algorithms in infrastructure systems.

Lectures; Auditory and computer practice; Consultations.

Authors Title Year Publisher Language
Koen H. van Dam, Igor Nikolic, Zofia Lukszo Agent-Based Modelling of Socio-Technical Systems 2012 Springer Science & Business Media English
Rudy R. Negenborn, Zofia Lukszo, Hans Hellendoorn Intelligent Infrastructures 2009 Springer Science & Business Media English
Ana Madureira, Judite Ferreira, Zita Vale Computational Intelligence for Engineering Systems: Emergent Applications 2010 Springer Science & Business Media English
Koen H. van Dam, Igor Nikolic, Zofia Lukszo Intelligent Monitoring, Control, and Security of Critical Infrastructure Systems 2012 Springer Science & Business Media English
Stuart Russell, Peter Norvig Artificial Intelligence: A Modern Approach 2016 Pearson English
Course activity Pre-examination Obligations Number of points
Oral part of the exam No Yes 50.00
Project Yes Yes 50.00
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Assoc. Prof. Selakov Aleksandar

Associate Professor

Lectures

Asst. Prof. Dalčeković Nikola

Assistant Professor

Computational classes
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Asst. Prof. Stoja Sebastijan

Assistant Professor

Computational classes

Assistant - Master Tošić Saša

Assistant - Master

Computational classes

Assistant - Master Pajić Zoran

Assistant - Master

Computational classes

Faculty of Technical Sciences

© 2024. Faculty of Technical Sciences.

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(+381) 21 6350 413

Fax : (+381) 21 458 133
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© 2024. Faculty of Technical Sciences.