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Lecturer(s)
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Kuběnka Michal, Ing. Ph.D.
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Course content
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Introduction, description of states and phenomena, one-criterion evaluation. Benefit. Multi-criteria decision making - overview of methods. Additive, lexicographic and aspiration method. Multi-criteria comparison of variants - according to individual criteria. Multicriterial comparison - by pairs of criteria and difference. Multicriterial programming. Decision making under uncertainty and game theory. Quantities dependencies - practical applications. Sparse scales. Application of indexes in analysis and decision making. Monte Carlo Method. Group decision making. Expert methods.
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Learning activities and teaching methods
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Monologic (reading, lecture, briefing), Dialogic (discussion, interview, brainstorming), Work with text (with textbook, with book), Skills training, Stimulating activities (simulation, games, drama)
- Preparation for a credit (assessment)
- 28 hours per semester
- Term paper
- 20 hours per semester
- Preparation for an exam
- 50 hours per semester
- Contact teaching
- 14 hours per semester
- Home preparation for classes
- 38 hours per semester
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Learning outcomes
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The aim of the course is to broaden and deepen the knowledge of decision making also consolidate and develop practical management skills and abilities through interactive business simulation.
A student who has successfully completed the course can: eruditely discuss the concept of utility in the context with supporting methods of multi-criteria comparison; explain the application procedure of individual multi-criteria decision-making methods; to use their knowledge and laws of game theory when solving decision-making problems. A student who has successfully completed the course will be able to: apply individual decision-making methods to a decision-making problem; assess which of the decision-making methods are more or less suitable for a specific case; apply indices in the analysis of a decision-making problem and draw conclusions. A student who has successfully completed the course is able to: analyze the problem and choose a specific decision support tool; apply decision-making support tools and, based on the evaluation of the results, come to a final decision to solve the problem.
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Prerequisites
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No requirements.
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Assessment methods and criteria
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Written examination, Home assignment evaluation
Written or oral exam with the condition of previously obtaining credit by completing correspondence tasks.
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Recommended literature
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FIALA, P.:. Modely a metody rozhodování. Praha: Oeconomica, 2013.
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FOTR, J., ŠVECOVÁ, L.:. Manažerské rozhodování: postupy, metody a nástroje. Praha: Ekopress, 2016.
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ROUDNÝ, R., RYBYŠAROVÁ, M.:. Rozhodování - příklady, hodnocení variant. Pardubice, 2007.
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