040056 FK KFK OR: Decision Analysis (2014S)
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 Mo 17.02.2014 09:00 to Tu 25.02.2014 16:00
- Deregistration possible until Fr 14.03.2014 23:59
Details
max. 50 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
Thursday
06.03.
09:45 - 11:30
Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Thursday
13.03.
09:45 - 11:30
Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Thursday
20.03.
09:45 - 11:30
Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Thursday
27.03.
09:45 - 11:30
Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Thursday
03.04.
09:45 - 11:30
Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Thursday
10.04.
09:45 - 11:30
Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Thursday
08.05.
09:45 - 11:30
Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Thursday
15.05.
09:45 - 11:30
Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Thursday
22.05.
09:45 - 11:30
Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Thursday
05.06.
09:45 - 11:30
Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Thursday
26.06.
09:45 - 11:30
Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
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