Universität Wien

040510 DK PhD-M: Management Decision Making (2010S)

10.00 ECTS (2.00 SWS), SPL 4 - Wirtschaftswissenschaften
Prüfungsimmanente Lehrveranstaltung

Will be provided via the e-learning platform

An/Abmeldung

Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").

Details

max. 15 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

  • Freitag 05.03. 10:00 - 12:00 Hörsaal 7
  • Freitag 19.03. 10:00 - 12:00 Hörsaal 7
  • Freitag 26.03. 10:00 - 12:00 Hörsaal 7
  • Freitag 16.04. 10:00 - 12:00 Hörsaal 7
  • Freitag 23.04. 10:00 - 12:00 Hörsaal 7
  • Freitag 30.04. 10:00 - 12:00 Hörsaal 7
  • Freitag 07.05. 10:00 - 12:00 Hörsaal 7
  • Freitag 14.05. 10:00 - 12:00 Hörsaal 7
  • Freitag 21.05. 10:00 - 12:00 Hörsaal 7
  • Freitag 28.05. 10:00 - 12:00 Hörsaal 7
  • Freitag 04.06. 10:00 - 12:00 Hörsaal 7
  • Freitag 11.06. 10:00 - 12:00 Hörsaal 7
  • Freitag 18.06. 10:00 - 12:00 Hörsaal 7
  • Freitag 25.06. 10:00 - 12:00 Hörsaal 7

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

The course covers main areas of decision theory at an advanced level. It is structured into the following eight modules
1 Introduction to preference modeling: Relations and scales
2 Multidimensional evaluation Dominance and efficiency
3 Decisions under risk: Introduction to expected utility theory
4 Applications and extensions to expected utility theory
5 Dynamic decision problems and the value of information
6 Decisions with incomplete information
7 Multicriteria decisions: additive models
8 Multicriteria decisions: Non-compensatory models

Art der Leistungskontrolle und erlaubte Hilfsmittel

Classroom work and exercises (20%)
Final exam (40%)
Term paper (40%)

Mindestanforderungen und Beurteilungsmaßstab

As a PhD course, this course goes beyond a practical knowledge of methods of decision analysis. Students should be able to understand the inherent logic of models of decision analysis and their relation to fundamental assumptions about rationality as well as the inherent limitations implied by these assumptions. This should enable students to select and apply the appropriate methods for their own research work.

Prüfungsstoff

The course uses a blend of e-learning based self instruction and classroom teaching. Teaching notes and training material are provided in advance on the e-learning platform, students are expected to study this material before class. Classroom lectures and discussions will be used to strengthen the students' understanding of the material.

Literatur

Material is provided via the e-learning platform

Zuordnung im Vorlesungsverzeichnis

Letzte Änderung: Mo 07.09.2020 15:29