Type of studies | Title |
---|---|
Master Academic Studies | Power Software Engineering (Year: 1, Semester: Winter) |
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 |
---|---|---|---|---|
2012 | English | |||
2009 | English | |||
2010 | English | |||
2012 | English | |||
2016 | English |
Course activity | Pre-examination | Obligations | Number of points |
---|---|---|---|
Oral part of the exam | No | Yes | 50.00 |
Project | Yes | Yes | 50.00 |
Associate Professor
Assistant Professor
Assistant Professor
Assistant - Master
Assistant - Master
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© 2024. Faculty of Technical Sciences.