Terminated in academic year 2022/2023

Advanced Methods of Data Analysis and Processing

Type of study	Doctoral
Language of instruction	Czech
Code	545-0940/01
Abbreviation	PMAZD
Course title	Advanced Methods of Data Analysis and Processing
Credits	10
Coordinating department	Department of Economics and Control Systems
Course coordinator	doc. Dr. Ing. Peter Vestenický

Subject syllabus

1. Principles of data storage, data models.
2. Relational schematic, schematic-less databases.
3. Principles of modelling and data structure design.
4. Optimization of relational database schematic.
5. Data warehouse and its purposes.
6. Transformation of data, ETL.
7. OLAP data analysis.
8. Predictive and descriptive data mining technologies.
9. Technologies for data presentation and transformation.
10. Big data, its processing and utilization.
11. Semantic web, web mining.
12. Statistical methods of data analysis.
13. Knowledge modelling, expert and knowledge systems.
14. Inexplicit and distributed data processing.

Literature

HERNANDEZ, M.: Database design. Praha: Grada, 2005, ISBN: 80-247-0900-7
POUR, J. – MARYŠKA, M. – NOVOTNÝ, O.: Business inteligence in enterprise praxis. Professional Publishing 2012,
MERUNKA, V.: Data modelling. Alfa, 2006. 177s, ISBN: 8086851540

Doporučená literatura

AYER-SCHÖNBERGER, V., CUKIER, K. Big Data. Brno: Computer Press, 2014, 256 s. ISBN 978-80-251-4119-9
HUMPHRIES, M.: Data warehousing - design and implementation. Praha: Computer Press, 2002. ISBN: 80-7226-560-1
BROZOVÁ, H., HOUŠKA, M.: Knowledge modelling. Praha: Professional Publishing, 2011.

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