Course: OLAP and Data Mining

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Course title OLAP and Data Mining
Course code KI/ODM
Organizational form of instruction Seminary
Level of course Bachelor
Year of study not specified
Semester Summer
Number of ECTS credits 2
Language of instruction Czech
Status of course Compulsory-optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Sýkorová Květuše, Mgr.
Course content
unspecified

Learning activities and teaching methods
unspecified
Learning outcomes
Prerequisites
unspecified
KI/DSY
----- or -----
KI/URD
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KI/URDB

Assessment methods and criteria
unspecified
Recommended literature
  • Data Mining Tutorial. Tutorialspoint..
  • Laberge R. Datové sklady. Agilní metody a business inteligence.. Computer Press, Brno, 2012. ISBN 978-80-251-3729-1.
  • Lacko L. Databáze: Datové sklady, analýza OLAP a dolování dat (s příklady v Microsoft SQL Serveru a Oracle). Computer Press, Brno, 2003. ISBN 80-7226-969-0.
  • Spofford, G. MDX Solutions: With Microsoft SQL Server Analysis Services 2005 and Hyperion Essbase. Wiley Publishing, Indianapolis, 2005. ISBN 978-0471748083.
  • Thomsen, E. OLAP solutions: building multidimensional information systems. Wiley Computer Publishing, New York, 2002. ISBN 978-0471400301.
  • Wrembel, R., Koncilia, Ch. Data Warehouses and OLAP: Concepts, Architectures, and Solutions. Computer Press, Brno, 2003. ISBN 1-59904-364-5.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Science Study plan (Version): Information Sciences (double subject) (A14) Category: Informatics courses - Recommended year of study:-, Recommended semester: -
Faculty: Faculty of Science Study plan (Version): - (A14) Category: Informatics courses - Recommended year of study:-, Recommended semester: -
Faculty: Faculty of Science Study plan (Version): Information Systems (A14) Category: Informatics courses - Recommended year of study:-, Recommended semester: -
Faculty: Faculty of Science Study plan (Version): Information Sciences (double subject) (A14) Category: Informatics courses - Recommended year of study:-, Recommended semester: -