545-0940/01 – Advanced Methods of Data Analysis and Processing (PMAZD)

Gurantor departmentDepartment of Economics and Control SystemsCredits10
Subject guarantordoc. Dr. Ing. Peter VestenickýSubject version guarantordoc. Dr. Ing. Peter Vestenický
Study levelpostgraduateRequirementChoice-compulsory
YearSemesterwinter + summer
Study languageCzech
Year of introduction2016/2017Year of cancellation2022/2023
Intended for the facultiesHGFIntended for study typesDoctoral
Instruction secured by
LoginNameTuitorTeacher giving lectures
VES0086 doc. Dr. Ing. Peter Vestenický
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Examination 20+0
Part-time Examination 20+0

Subject aims expressed by acquired skills and competences

The subject is oriented on the big data storing and processing, utilization of data analysis tools, knowledge obtaining from databases, data mining, expert systems creation. Working with enterprise data - business intelligence tool to obtain enterprise knowledges, methods of information presentation

Teaching methods

Individual consultations

Summary

Pokročilé metody práce s daty – optimalizace datových struktur, analytické zpracování dat, práce s větším objemem dat, práce s neurčitými daty, využití bezeschémových databází, technologie Big data. Techniky dolování dat z databází a webu. Business inteligence – OLAP, datové sklady. Práce se znalostmi, expertní a semi-expertní systémy. Úvod do zpracování neurčitých, nepřesných a distribuovaných dat.

Compulsory 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, ISBN: 80-7431-065-2 MERUNKA, V.: Data modelling. Alfa, 2006. 177s, ISBN: 8086851540

Recommended literature:

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. ISBN: 978-80-7331-069-0

Additional study materials

Way of continuous check of knowledge in the course of semester

E-learning

Other requirements

Semestral work focused on data processing application related to dissertation thesis.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

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.

Conditions for subject completion

Part-time form (validity from: 2016/2017 Winter semester, validity until: 2022/2023 Summer semester)
Task nameType of taskMax. number of points
(act. for subtasks)		Min. number of pointsMax. počet pokusů
Examination Examination   3
Mandatory attendence participation:

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Conditions for subject completion and attendance at the exercises within ISP:

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Occurrence in study plans

Academic yearProgrammeBranch/spec.Spec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2022/2023 (P3970) Management of systems in the field of mineral resources P Czech Ostrava Choice-compulsory study plan
2022/2023 (P3970) Management of systems in the field of mineral resources K Czech Ostrava Choice-compulsory study plan
2021/2022 (P3970) Management of systems in the field of mineral resources P Czech Ostrava Choice-compulsory study plan
2021/2022 (P3970) Management of systems in the field of mineral resources K Czech Ostrava Choice-compulsory study plan
2020/2021 (P3970) Management of systems in the field of mineral resources P Czech Ostrava Choice-compulsory study plan
2020/2021 (P3970) Management of systems in the field of mineral resources K Czech Ostrava Choice-compulsory study plan
2019/2020 (P3970) Management of systems in the field of mineral resources P Czech Ostrava Choice-compulsory study plan
2019/2020 (P3970) Management of systems in the field of mineral resources K Czech Ostrava Choice-compulsory study plan
2018/2019 (P3970) Management of systems in the field of mineral resources P Czech Ostrava Choice-compulsory study plan
2018/2019 (P3970) Management of systems in the field of mineral resources K Czech Ostrava Choice-compulsory study plan
2017/2018 (P3970) Management of systems in the field of mineral resources P Czech Ostrava Choice-compulsory study plan
2017/2018 (P3970) Management of systems in the field of mineral resources K Czech Ostrava Choice-compulsory study plan
2016/2017 (P3970) Management of systems in the field of mineral resources P Czech Ostrava Choice-compulsory study plan
2016/2017 (P3970) Management of systems in the field of mineral resources K Czech Ostrava Choice-compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner

Assessment of instruction

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