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Lecturer(s)
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Zajíček Daniel, Ing. Mgr. Ph.D.
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Course content
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Introduction of the course Stochastic processes Data processing by selected robust methods Time series and trend functions Regression methods Multidimensional and nonlinear regression Markov chains and decision processes Application of Markov chains in economics and finance Waiting line models and their optimization Deterministic inventory models Stochastic inventory models Usage of sw Mathematica for selected methods nad models
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Learning activities and teaching methods
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Lecture with practical applications, Discussion, Individual study
- Contact hours
- 52 hours per semester
- Preparation for an examination (30-60)
- 60 hours per semester
- Preparation for formative assessments (2-20)
- 10 hours per semester
- Graduate study programme term essay (40-50)
- 50 hours per semester
- Preparation for comprehensive test (10-40)
- 35 hours per semester
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| prerequisite |
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| Knowledge |
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| understand knowledge in the scope of a two-semester university course in mathematics, a course in statistics, one-semester courses in economic statistics and operations research |
| Skills |
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| N/A |
| Competences |
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| N/A |
| learning outcomes |
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| Knowledge |
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| Use advanced probabilistic and statistical methods |
| Select a proper method for practical application |
| To verify validity of its usability assumptions and apply it for practical problem solution including economic or financial interpretation of results |
| Apply time series analysis methods in practice including statistical description of demand |
| Apply Markov chains with various applications in marketing, business, and finance |
| Apply waiting line models with managerial applications |
| Apply various classic inventory models both deterministic and stochastic ones |
| Get acquainted sw Mathematica basics for solving selected problems |
| Skills |
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| N/A |
| Competences |
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| N/A |
| teaching methods |
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| Knowledge |
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| Individual study |
| Interactive lecture |
| Discussion |
| E-learning |
| Skills |
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| Individual study |
| Interactive lecture |
| Discussion |
| Competences |
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| Discussion |
| Interactive lecture |
| Individual study |
| assessment methods |
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| Knowledge |
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| Written exam |
| Portfolio |
| Skills |
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| Written exam |
| Competences |
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| Written exam |
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Recommended literature
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ANDERSON, D.R., SWEENEY, D.J., WILLIAMS, T.A. An Introduction to Management Science - Quantitative Approaches to Decision Making.
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DANIEL, W. W., TERRELL, J. C. Business statistics : for management and economics. 7th ed. Boston : Houghton Mifflin Co., 1995. ISBN 0-395-71231-9.
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RENDER, B., HANNA, M. E., STAIR, R. M. Jr. Quantitative analysis for management. 1eight ed. Upper Saddle River : Prentice Hall, 2003. ISBN 0-13-049543-3.
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