040075 VK KFK OR: Decision Theory 1 (E) (2007W)
Continuous assessment of course work
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Details
max. 50 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
- Friday 05.10. 10:00 - 12:00 Hörsaal 9
- Friday 12.10. 10:00 - 12:00 Hörsaal 9
- Friday 19.10. 10:00 - 12:00 Hörsaal 9
- Friday 09.11. 10:00 - 12:00 Hörsaal 9
- Friday 16.11. 10:00 - 12:00 Hörsaal 9
- Friday 23.11. 10:00 - 12:00 Hörsaal 9
- Friday 30.11. 10:00 - 12:00 Hörsaal 9
- Friday 07.12. 10:00 - 12:00 Hörsaal 9
- Friday 14.12. 10:00 - 12:00 Hörsaal 9
- Friday 11.01. 10:00 - 12:00 Hörsaal 9
- Friday 18.01. 10:00 - 12:00 Hörsaal 9
- Friday 25.01. 10:00 - 12:00 Hörsaal 9
Information
Aims, contents and method of the course
Assessment and permitted materials
Minimum requirements and assessment criteria
Students shall gain an in-depth understanding of the purpose and process of decision analysis. They will become familiar with the most important concepts and methods, their possible fields of application and their limitations. They should be able to correctly apply those methods to practical problems.
Examination topics
The course consists of lectures and practical exercises, in which students solve cases using decision analysis software packages. The course is held in English.
Reading list
Bamberg, G.; Coenenberg, A.G. (2000): Betriebswirtschaftliche Entscheidungslehre. Vahlen, München.
Lindley, D.V. (1985): Making Decisions. J. Wiley & Sons, New York.
Pomerol, J.-C.; Barba-Romero, S. (2000): Multicriterion Decision in Management: Principles and Practice. Kluwer, Dordrecht.
Lindley, D.V. (1985): Making Decisions. J. Wiley & Sons, New York.
Pomerol, J.-C.; Barba-Romero, S. (2000): Multicriterion Decision in Management: Principles and Practice. Kluwer, Dordrecht.
Association in the course directory
Last modified: Mo 07.09.2020 15:28
1.1 Goals and Types of Decision Analysis
1.2 Structuring Decision Problems
1.3 Dominance and Efficiency
1.4 Decision Process
2. Generating and Evaluating Alternatives
3. Decisions under Uncertainty
3.1 Decisions under Ambiguity
3.1 Decisions under Risk: simple decision rules and expected utility theory
3.2 The Value of Information
3.3 Empirical results and extensions to expected utility theory
4. Decisions with multiple criteria
4.1 Overview
4.2 Additive models: Multitattribute utility theory and AHP
4.3 Outranking models