MMEDKMMA Mathematical-Statistical Methods

School of Business Administration in Karvina
Summer 2017
Extent and Intensity
0/0. 15 credit(s). Type of Completion: dzk.
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 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.
Language of instruction
Czech
Further Comments
The course can also be completed outside the examination period.
The course is also listed under the following terms Summer 2014.
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