Universität Wien

390028 DK PhD-M: Management Decision Making (2022S)

5.00 ECTS (2.00 SWS), SPL 39 - Doktoratsstudium Wirtschaftswissenschaften
Prüfungsimmanente Lehrveranstaltung

service email address: opim.bda@univie.ac.at
Moodle

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

EXAM: MO 27.06.2022 15.00-16.30 SR 3 Oskar-Morgenstern-Platz 1 2nd floor

  • Montag 07.03. 15:00 - 16:30 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock (Vorbesprechung)
  • Donnerstag 10.03. 09:45 - 11:15 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
  • Montag 14.03. 15:00 - 16:30 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
  • Donnerstag 17.03. 09:45 - 11:15 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
  • Montag 21.03. 15:00 - 16:30 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
  • Donnerstag 24.03. 09:45 - 11:15 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
  • Montag 28.03. 15:00 - 16:30 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
  • Montag 02.05. 15:00 - 16:30 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
  • Montag 09.05. 15:00 - 16:30 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
  • Montag 16.05. 15:00 - 16:30 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
  • Montag 23.05. 15:00 - 16:30 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
  • Montag 30.05. 15:00 - 16:30 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
  • Montag 20.06. 15:00 - 16:30 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
  • Montag 27.06. 15:00 - 16:30 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock

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 seven 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 Multicriteria decisions: Additive models
7 Decisions under incomplete information and sensitivity analysis

Art der Leistungskontrolle und erlaubte Hilfsmittel

Classroom work and exercises (20%)
Final exam (40%)
Note: The mode of the final exam (presence or online) will be decided on short notice, depending on the COVID situation
Research project or survey paper (at the student's choice) (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. Lectures and discussions will be used to strengthen the students' understanding of the material.

Literatur

Lecture notes containing references will be available on Moodle

Zuordnung im Vorlesungsverzeichnis

Letzte Änderung: Di 21.06.2022 16:50