040624 FK KFK OR: Decision Analysis (2008W)

4.00 ECTS (2.00 SWS), SPL 4 - Wirtschaftswissenschaften

Continuous assessment of course work

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

Rudolf Vetschera

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

1. Introduction
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

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