040624 FK KFK OR: Decision Analysis (2010W)
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 We 08.09.2010 09:00 to We 22.09.2010 17:00
- Registration is open from Tu 28.09.2010 09:00 to We 29.09.2010 17:00
- Deregistration possible until Th 14.10.2010 23:59
Details
max. 50 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
- Tuesday 05.10. 13:00 - 15:00 Hörsaal 12
- Tuesday 12.10. 13:00 - 15:00 Hörsaal 12
- Tuesday 19.10. 13:00 - 15:00 Hörsaal 12
- Tuesday 09.11. 13:00 - 15:00 Hörsaal 12
- Tuesday 16.11. 13:00 - 15:00 Hörsaal 12
- Tuesday 23.11. 13:00 - 15:00 Hörsaal 12
- Tuesday 30.11. 13:00 - 15:00 Hörsaal 12
- Tuesday 07.12. 13:00 - 15:00 Hörsaal 12
- Tuesday 14.12. 13:00 - 15:00 Hörsaal 12
- Tuesday 11.01. 13:00 - 15:00 Hörsaal 12
- Tuesday 18.01. 13:00 - 15:00 Hörsaal 12
- Tuesday 25.01. 13:00 - 15:00 Hörsaal 12
Information
Aims, contents and method of the course
Assessment and permitted materials
In class exercises
Case assignment
Final exam
Case assignment
Final exam
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
3.2 Decisions under Risk: simple decision rules and expected utility theory
3.3 The Value of Information
3.4 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