INMDKMMA Mathematical-Statistical Methods

School of Business Administration in Karvina
Summer 2017
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
Contact Person: doc. Mgr. Petr Suchánek, Ph.D.
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 offered to students of any study field.
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.
ActivityDifficulty [h]
Ostatní studijní zátěž346
Přednáška72
Zkouška32
Summary450
The course is also listed under the following terms Summer 2015, Summer 2016, Summer 2018, Summer 2019.
  • Enrolment Statistics (Summer 2017, recent)
  • Permalink: https://is.slu.cz/course/opf/summer2017/INMDKMMA