Type of studies | Title |
---|---|
Undergraduate Academic Studies | Power Software Engineering (Year: 4, Semester: Winter) |
Category | Theoretical-methodological |
Scientific or art field | Primenjeno softversko inženjerstvo |
ECTS | 6 |
Acquiring basic knowledge regarding a development of mission-critical software intensive systems. Introduction to the main characteristics of a Smart Grid and its architecture. Acquaintance with the Internet of Things (IoT) and Web of Things paradigms, and the importance of IoT platform to manage a vast number of smart devices. Introduction to the semantic layer that boosts communication capabilities of devices. Getting the basics of Big Data technologies as well as machine learning approaches to handle huge amounts of data.
Knowledge of the major aspects of mission-critical software systems, and how they drastically differ from the classical ones. Introduction to the ubiquitous/pervasive and edge computing paradigms, and technologies for producing massively scalable distributed solutions. Getting basic knowledge in the domain of Big Data technologies, and how machine-learning may help classify and predict consumption and production. Acquaintance with RDF and OWL as major semantic technologies.
Fundamental items of mission-critical software systems, including formal methods and safety arguments. Several Big Data technologies and machine-learning algorithms for classification and prediction. A concrete IoT platform to manage devices. RDF and OWL as well as a SPARQL query language. The use in smart grid software model. Algorithms overview and data model in smart grids. Numeric calculations in smart grids.
Lectures; Auditory Practice; Consultations.
Authors | Title | Year | Publisher | Language |
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2008 | English | |||
2012 | English | |||
2016 | English | |||
2013 | English | |||
2012 | English | |||
2018 | English |
Course activity | Pre-examination | Obligations | Number of points |
---|---|---|---|
Project task | Yes | Yes | 30.00 |
Oral part of the exam | No | Yes | 30.00 |
Lecture attendance | Yes | Yes | 5.00 |
Test | Yes | Yes | 10.00 |
Exercise attendance | Yes | Yes | 5.00 |
Theoretical part of the exam | No | Yes | 20.00 |
Associate Professor
Assistant Professor
Assistant - Master
Assistant - Master
Assistant - Master
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