401395 VK KFK Entscheidungstheorie I (E) (2004W)
KFK Entscheidungstheorie I (E)
Continuous assessment of course work
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Details
Language: English
Lecturers
Classes (iCal) - next class is marked with N
Friday
01.10.
10:00 - 12:00
Hörsaal 9
Friday
08.10.
10:00 - 12:00
Hörsaal 9
Friday
15.10.
10:00 - 12:00
Hörsaal 9
Friday
22.10.
10:00 - 12:00
Hörsaal 9
Friday
29.10.
10:00 - 12:00
Hörsaal 9
Friday
05.11.
10:00 - 12:00
Hörsaal 9
Friday
12.11.
10:00 - 12:00
Hörsaal 9
Friday
19.11.
10:00 - 12:00
Hörsaal 9
Friday
26.11.
10:00 - 12:00
Hörsaal 9
Friday
03.12.
10:00 - 12:00
Hörsaal 9
Friday
10.12.
10:00 - 12:00
Hörsaal 9
Friday
17.12.
10:00 - 12:00
Hörsaal 9
Friday
14.01.
10:00 - 12:00
Hörsaal 9
Friday
21.01.
10:00 - 12:00
Hörsaal 9
Friday
28.01.
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
Currently no association information is available.
Last modified: Mo 07.09.2020 15:47
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