Course detail
Managerial Informatics
FP-OmiPAcad. year: 2022/2023
Not applicable.
Language of instruction
Czech
Number of ECTS credits
5
Mode of study
Not applicable.
Guarantor
Department
Learning outcomes of the course unit
Not applicable.
Prerequisites
Not applicable.
Co-requisites
Not applicable.
Planned learning activities and teaching methods
Not applicable.
Assesment methods and criteria linked to learning outcomes
Not applicable.
Course curriculum
Not applicable.
Work placements
Not applicable.
Aims
Not applicable.
Specification of controlled education, way of implementation and compensation for absences
Not applicable.
Recommended optional programme components
Not applicable.
Prerequisites and corequisites
Not applicable.
Basic literature
BASL, J. a R. BLAŽÍČEK. Podnikové informační systémy: podnik v informační společnosti. 3., aktualiz. a dopl. vyd. Praha: Grada. Management v informační společnosti, 2012. ISBN 978-80-247-4307-3.
NISBET, R.., J. F. ELDER a G. MINER. Handbook of statistical analysis and data mining applications. Boston: Academic Press/Elsevier, 2009. ISBN 978-0-12-374765-5.
POUR, J., M. MARYŠKA a O. NOVOTNÝ. Business intelligence v podnikové praxi. Praha: Professional Publishing, 2012.ISBN 978-80-7431-065-2.
NISBET, R.., J. F. ELDER a G. MINER. Handbook of statistical analysis and data mining applications. Boston: Academic Press/Elsevier, 2009. ISBN 978-0-12-374765-5.
POUR, J., M. MARYŠKA a O. NOVOTNÝ. Business intelligence v podnikové praxi. Praha: Professional Publishing, 2012.ISBN 978-80-7431-065-2.
Recommended reading
LACKO, Ľ.. Databáze: datové sklady, OLAP a dolování dat s příklady v Microsoft SQL Serveru a Oracle. Brno: Computer Press, 2003. ISBN 80-722-6969-0.
SHMUELI, G., N. R. PATEL a P. C. BRUCE. Data mining for business intelligence: concepts, techniques, and applications in Microsoft Office Excel with XLMiner. Hoboken, N.J.: Wiley, 2010. ISBN 978-0-470-52682-8.
SHMUELI, G., N. R. PATEL a P. C. BRUCE. Data mining for business intelligence: concepts, techniques, and applications in Microsoft Office Excel with XLMiner. Hoboken, N.J.: Wiley, 2010. ISBN 978-0-470-52682-8.
Classification of course in study plans
- Programme MGR-MEO Master's 1 year of study, winter semester, compulsory-optional