Courses – Fakultet tehničkih nauka u Novom Sadu

Subject: Intelligent software infrastructure systems (17.ESI126)

Type of studies	Title
Master Academic Studies	Power Software Engineering (Year: 1, Semester: Winter)

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
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
Rudy R. Negenborn, Zofia Lukszo, Hans Hellendoorn	Intelligent Infrastructures	2009	Springer Science & Business Media	English