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Lecturer(s)
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Trnka David, Prof. Dr. Ing.
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Course content
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The course is intended for doctoral studies. Statistical methods: Probability, random variables and probability functions. Distribution of discrete random variables and continuous ones. Law of large numbers. Central limit theorem. Sample surveys. Testing hypotheses. Regression and correlation analysis. Indices. Time series, decomposition of time series, an analysis, and their use in forecasting. Social, economic, ecological and demographic statistics, organization of statistical services in the CR and EU and possibilities of using these statistical figures and information in business. Methods of operational research: Mathematical programming. Critical path methods. Theory of inventory. Queuing theory. Renewal theory. Decision theory. Theory of games. Applicability of these methods.
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Learning activities and teaching methods
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- Contact hours
- 30 hours per semester
- Individual project (40)
- 180 hours per semester
- Preparation for an examination (30-60)
- 180 hours per semester
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| prerequisite |
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| Knowledge |
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| Successful completion of Master´s study programme |
| to know management science methods and statistical analysis methods at the master's degree level of business administration study programmes |
| Skills |
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| to manage the basic principles of economic modeling and to be able to apply simple SW tools for solving some operations research models |
| Competences |
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| N/A |
| learning outcomes |
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| Knowledge |
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| to know the advanced tools of economic modeling and quantitative analysis |
| Skills |
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| to apply quantitative methods creatively to solve professional problems |
| Competences |
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| N/A |
| teaching methods |
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| Knowledge |
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| Lecture supplemented with a discussion |
| Self-study of literature |
| One-to-One tutorial |
| Skills |
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| Students' portfolio |
| Competences |
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| N/A |
| assessment methods |
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| Knowledge |
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| Combined exam |
| Skills |
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| Seminar work |
| Competences |
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| N/A |
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Recommended literature
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Anderson, David Ray. An introduction to management science : quantitative approaches to decision making. Mason : Thomson/South-Western, 2008. ISBN 978-0-324-39980-6.
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BOX, E. P. George, JENKINS, M. Gwilym, REINSEL, C. Gregory. Time Series Analysis: Forecasting and Control. 4th edition. WILEY, 2008. ISBN 978-0-470-27284-8.
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Hair, Joseph F. Multivariate data analysis. 7th ed. Upper Saddle River : Prentice-Hall, 2010. ISBN 978-0-13-813263-7.
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