Type of studies | Title |
---|---|
Master Academic Studies | Power Software Engineering (Year: 1, Semester: Winter) |
Category | Professional-applicative |
Scientific or art field | Applied Computer Science and Informatics |
ECTS | 6 |
Introducing students with the advanced principles and techniques of warehousing, analysis and managing large sets of data (Big Data) and their application in infrastructure systems. Students should apply acquired knowledge in anaysis, study and solving real problems.
Acquisition of modern knowledge of warehousing and algorithms for processing large amounts of data, with emphasis on application in infrastructure systems. The student is trained to analyze, study and solve real problems using the acquired knowledge.
Definition, types and characteristics of infrastructure systems. The importance of smart analytics and infrastructure (smart cities, smart homes, smart governance, etc.). Technologies Hadoop and Spark. Warehousing of large amounts of frequency and unstructured data. Characteristics, advantages and disadvantages of NoSQL databases. Virtualization of databases. Manage large databases in cloud. MapReduce and HPCC parallel and distributed data processing. Analysis of data, their connections and possibilities of reducing dimensionality. Application of the spectral graph theory in the analysis of large amounts of data. Machine learning algorithms on large datasets. Visualization of data. Decision support systems and report creation.
Lectures. Computer practice. Consultations. The student is obliged to independently do the project and write a seminar paper.
Authors | Title | Year | Publisher | Language |
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2015 | English | |||
2018 | English | |||
2010 | English | |||
2012 | English | |||
2017 | English | |||
2014 | English |
Course activity | Pre-examination | Obligations | Number of points |
---|---|---|---|
Project | Yes | Yes | 50.00 |
Term paper | Yes | Yes | 20.00 |
Theoretical part of the exam | No | Yes | 30.00 |
Full Professor
Assistant Professor
Assistant - Master
Assistant - Master
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