OPF:MMEDKMMA Mathematical-Statistical Metho - Course Information

MMEDKMMA Mathematical-Statistical Methods

Extent and Intensity

0/0. 15 credit(s). Type of Completion: dzk.

Teacher(s)

prof. RNDr. Jiří Ivánek, CSc. (lecturer)
prof. RNDr. Jaroslav Ramík, CSc. (lecturer)
prof. RNDr. Josef Tošenovský, CSc. (lecturer)

Guaranteed by

prof. RNDr. Jaroslav Ramík, CSc.
Department of Informatics and Mathematics – School of Business Administration in Karvina

Prerequisites

The completion of the course does not require any extra conditions and the course can be enrolled independently of the other courses.

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.

fields of study / plans the course is directly associated with

• Business Economics and Management (programme OPF, D_EKOMAN3)

Course objectives

To review and to deepen the knowledge of Master Study Graduates about the current theoretical approaches, methods and possibilities of practical applications of statistics, econometrics, multi-criteria decision making, methods of data mining and knowledge engineering. To provide a theoretical background of methods and tools used in economics, business, marketing and management on different levels of applications.

Syllabus

• 1. Statistical methods in data analysis in economics and quality control.
  2. Econometrics: theory and applications.
  3. Time series analysis and methods.
  4. Multi-criteria decision making methods.
  5. Typical problems of knowledge engineering and data mining and some new tools for solving such problems.

Literature

recommended literature
• RAMÍK, J., PERZINA, R. Moderní metody hodnocení a rozhodování. Karviná : SU v Opavě, OPF v Karviné, 2008. ISBN 978-80-7248-497-3. info
• IVÁNEK, Jiří, Robert KEMPNÝ and Vladimír LAŠ. Znalostní inženýrství. Karviná: Obchodně podnikatelská fakulta v Karviné Slezská univerzita v Opavě, 2007. info
• HUŠEK, R., PELIKÁN, J. Aplikovaná ekonometrie - teorie a praxe. Praha: Professional Publishing, 2003. ISBN 80-86419-29-0. info
• FOTR, J., DĚDINA, J., HRŮZOVÁ, H. Manažerské rozhodování. Praha: Ekopress, 2003. ISBN 80-86119-69-6. info
• RUD, O. Data mining. Praha: Computer Press, 2001. ISBN 80-7226-577-6. info
• POLLOCK, DGS. A Handbook of Time-Series Analysis, Signal Processing and Dynamics. San Diego - London - Boston - New York: Academic, 1999. ISBN 0-12-560990-6. info
• WISNIEWSKI, M. Kvantitativní metody pro manažéry. Praha: Grada, 1999. ISBN 0-273-62404-0. info
• ARLT, J. Moderní metody modelování ekonomických časových řad. 1. vyd. Praha: Grada Publishing, 1999. ISBN 80-7169-539-4. info
• NENADÁL, J., NOSKIEVIČOVÁ, D., PETŘÍKOVÁ, R., PLURA, J., TOŠENOV. Moderní systémy řízení jakosti. Praha: Grada, 1998. ISBN 80-7225-040-X. info
• HUŠEK, R. Základy ekonometrické analýzy I., II.. Vysoká škola ekonomická v Praze, 1998. ISBN 80-7079-102-0. info
• TOŠENOVSKÝ, J. Hodnocení způsobilosti výrobního procesu od A do Z. Ostrava: DTO, 1996. ISBN 80-248-0006-3. info
• ENDERS, W. Applied Economic Time Series. New York etc.: John Wiley&Sons, 1995. ISBN 0-314-77818-7. info
• SEGER, J., HIDLS, R. Statistické metody v tržním hospodářství. Praha: Victoria Publishing, 1995. ISBN 80-7187-058-7. info
• BERENSON, M., LEVINE, M. Basic Business Statistics, Concepts and Applications. New Jersey: Prentice Hall, 1992. ISBN 0-13-065780-8. info
• GURAJATI, D. Essentials of econometrics. New York: McGraw-Hill, 1992. ISBN 0-13-844143-X. info

Teaching methods

One-to-One tutorial
Skills demonstration

Assessment methods

Written exam

Language of instruction

Czech

Further comments (probably available only in Czech)

The course can also be completed outside the examination period.
Information on the extent and intensity of the course: Přednáška 32 HOD/SEM.

Teacher's information

Lectures and seminars in computer laboratory, consultations.

Activity	Difficulty [h]
Ostatní studijní zátěž	346
Přednáška	72
Zkouška	32
Summary	450

• Enrolment Statistics (Summer 2014, recent)
  
• Permalink: https://is.slu.cz/course/opf/summer2014/MMEDKMMA