040624 FK KFK OR: Decision Analysis (2009W)
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 09.09.2009 09:00 to Tu 22.09.2009 17:00
- Registration is open from Mo 28.09.2009 09:00 to Tu 29.09.2009 17:00
- Deregistration possible until We 14.10.2009 23:59
Details
max. 50 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
Monday
05.10.
10:00 - 11:55
Hörsaal 7
Monday
12.10.
10:00 - 11:55
Hörsaal 7
Monday
19.10.
10:00 - 11:55
Hörsaal 7
Monday
09.11.
10:00 - 11:55
Hörsaal 7
Monday
16.11.
10:00 - 11:55
Hörsaal 7
Monday
23.11.
10:00 - 11:55
Hörsaal 7
Monday
30.11.
10:00 - 11:55
Hörsaal 7
Monday
07.12.
10:00 - 11:55
Hörsaal 7
Monday
14.12.
10:00 - 11:55
Hörsaal 7
Monday
11.01.
10:00 - 11:55
Hörsaal 7
Monday
18.01.
10:00 - 11:55
Hörsaal 7
Monday
25.01.
10:00 - 11:55
Hörsaal 7
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