040056 FK KFK OR: Decision Analysis (2013S)
Decision Analysis
Continuous assessment of course work
Labels
Alle Informationen zu dieser Lehrveranstaltung finden sie auf unserer Homepage
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from Sa 09.02.2013 09:00 to Fr 22.02.2013 14:00
- Registration is open from We 27.02.2013 09:00 to Th 28.02.2013 17:00
- Deregistration possible until Th 14.03.2013 23:59
Details
max. 50 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
Monday
04.03.
09:00 - 11:00
Hörsaal 12
Monday
11.03.
09:00 - 11:00
Hörsaal 12
Monday
18.03.
09:00 - 11:00
Hörsaal 12
Monday
08.04.
09:00 - 11:00
Hörsaal 12
Monday
15.04.
09:00 - 11:00
Hörsaal 12
Monday
22.04.
09:00 - 11:00
Hörsaal 12
Monday
29.04.
09:00 - 11:00
Hörsaal 12
Monday
06.05.
09:00 - 11:00
Hörsaal 12
Monday
13.05.
09:00 - 11:00
Hörsaal 12
Monday
27.05.
09:00 - 11:00
Hörsaal 12
Wednesday
29.05.
14:30 - 16:00
Hörsaal 9
Monday
03.06.
09:00 - 11:00
Hörsaal 12
Monday
10.06.
09:00 - 11:00
Hörsaal 12
Monday
17.06.
09:00 - 11:00
Hörsaal 12
Monday
24.06.
09:00 - 11:00
Hörsaal 12
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
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