Universität Wien

040056 FK KFK OR: Decision Analysis (2014S)

Decision Analysis

4.00 ECTS (2.00 SWS), SPL 4 - Wirtschaftswissenschaften
Continuous assessment of course work

Alle Informationen zu dieser Lehrveranstaltung finden sie auf unserer Homepage

Moodle

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).

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

1. Introduction
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

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