040510 DK PhD-M: Management Decision Making (2008W)
Prüfungsimmanente Lehrveranstaltung
Labels
Zusammenfassung
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Mo 01.09.2008 09:00 bis So 21.09.2008 23:59
- Anmeldung von Fr 26.09.2008 09:00 bis Mo 29.09.2008 23:59
- Abmeldung bis Di 14.10.2008 23:59
An/Abmeldeinformationen sind bei der jeweiligen Gruppe verfügbar.
Gruppen
Gruppe 1
Will be provided via the e-learning platform
max. 15 Teilnehmer*innen
Sprache: Englisch
Lehrende
Termine
Zur Zeit sind keine Termine bekannt.
Art der Leistungskontrolle und erlaubte Hilfsmittel
Classroom work and exercises (20%)
Final exam (40%)
Research project or teaching assignment (at the student's choice) (40%)
Final exam (40%)
Research project or teaching assignment (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. Classroom lectures and discussions will be used to strengthen the students' understanding of the material.
Gruppe 2
Will be provided via the e-learning platform
max. 15 Teilnehmer*innen
Sprache: Englisch
Lehrende
Termine (iCal) - nächster Termin ist mit N markiert
Mittwoch
21.01.
14:00 - 17:00
Seminarraum 2
Donnerstag
22.01.
14:00 - 17:00
Seminarraum 1
Freitag
23.01.
09:00 - 12:00
Hörsaal 11
Freitag
23.01.
14:00 - 16:00
Seminarraum 1
Mittwoch
28.01.
14:00 - 17:00
Seminarraum 1
Donnerstag
29.01.
14:00 - 17:00
Seminarraum 1
Freitag
30.01.
09:00 - 12:00
Hörsaal 11
Freitag
30.01.
14:00 - 16:00
Seminarraum 1
Art der Leistungskontrolle und erlaubte Hilfsmittel
Classroom work and exercises (20%)Final exam (40%)Research project or teaching assignment (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. Classroom lectures and discussions will be used to strengthen the students' understanding of the material.
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 modules1 Introduction to preference modeling: Relations and scales2 Multidimensional evaluation Dominance and efficiency3 Decisions under risk: Introduction to expected utility theory4 Applications and extensions to expected utility theory5 Dynamic decision problems and the value of information6 Multicriteria decisions: additive models7 Multicriteria decisions: Non-compensatory models
Literatur
Zuordnung im Vorlesungsverzeichnis
Letzte Änderung: Mo 07.09.2020 15:29