040624 FK KFK OR: Decision Analysis (2008W)
Continuous assessment of course work
Labels
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 01.09.2008 09:00 to Su 21.09.2008 23:59
- Registration is open from Fr 26.09.2008 09:00 to Mo 29.09.2008 23:59
- Deregistration possible until Tu 14.10.2008 23:59
Details
max. 50 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
Monday
06.10.
10:00 - 11:55
Hörsaal 7
Monday
13.10.
10:00 - 11:55
Hörsaal 7
Monday
20.10.
10:00 - 11:55
Hörsaal 7
Monday
27.10.
10:00 - 11:55
Hörsaal 7
Monday
03.11.
10:00 - 11:55
Hörsaal 7
Monday
10.11.
10:00 - 11:55
Hörsaal 7
Monday
17.11.
10:00 - 11:55
Hörsaal 7
Monday
24.11.
10:00 - 11:55
Hörsaal 7
Monday
01.12.
10:00 - 11:55
Hörsaal 7
Monday
15.12.
10:00 - 11:55
Hörsaal 7
Monday
12.01.
10:00 - 11:55
Hörsaal 7
Monday
19.01.
10:00 - 11:55
Hörsaal 7
Monday
26.01.
10:00 - 11:55
Hörsaal 7
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 15:29
1.1 Goals and Types of Decision Analysis
1.2 Elements of Decision Problems
1.3 Overview of Decision Processes
2. Elements of the Decision Process
2.1 Problems and Chances
2.2 Generating Alternatives
2.3 Evaluation and Preselection of 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