OPF:INMDAMMA Mathematical-Statistical Metho - Course Information
INMDAMMA Mathematical-Statistical Methods
School of Business Administration in KarvinaSummer 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
- doc. RNDr. Ing. Roman Šperka, Ph.D.
Department of Informatics and Mathematics – School of Business Administration in Karvina
Contact Person: prof. RNDr. Jaroslav Ramík, CSc. - 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_EKOMAN4)
- 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.
- 1. Statistical methods in data analysis in economics and quality control.
- Literature
- recommended literature
- 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
- ENDERS, W. Applied Economic Time Series. New York etc.: John Wiley&Sons, 1995. ISBN 0-314-77818-7. 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
- English
- 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 2017, recent)
- Permalink: https://is.slu.cz/course/opf/summer2017/INMDAMMA