390048 DK PhD-M: Management Decision Making (2011S)

10.00 ECTS (2.00 SWS), SPL 39 - Doktoratsstudium Wirtschaftswissenschaften

Continuous assessment of course work

Will be provided via the e-learning platform

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 07.02.2011 09:00 to Th 17.02.2011 17:00
Registration is open from We 23.02.2011 09:00 to Fr 25.02.2011 14:00
Deregistration possible until Mo 14.03.2011 23:59

Details

max. 15 participants

Language: English

Lecturers

Rudolf Vetschera

Classes (iCal) - next class is marked with N

    
    Friday
    04.03.
    10:00 - 12:00
    Hörsaal 7
    
    Friday
    11.03.
    10:00 - 12:00
    Hörsaal 7
    
    Friday
    18.03.
    10:00 - 12:00
    Hörsaal 7
    
    Friday
    25.03.
    10:00 - 12:00
    Hörsaal 7
    
    Friday
    01.04.
    10:00 - 12:00
    Hörsaal 7
    
    Friday
    08.04.
    10:00 - 12:00
    Hörsaal 7
    
    Friday
    15.04.
    10:00 - 12:00
    Hörsaal 7
    
    Friday
    06.05.
    10:00 - 12:00
    Hörsaal 7
    
    Friday
    13.05.
    10:00 - 12:00
    Hörsaal 7
    
    Friday
    20.05.
    10:00 - 12:00
    Hörsaal 7
    
    Friday
    27.05.
    10:00 - 12:00
    Hörsaal 7
    
    Friday
    03.06.
    10:00 - 12:00
    Hörsaal 7
    
    Friday
    10.06.
    10:00 - 12:00
    Hörsaal 7
    
    Friday
    17.06.
    10:00 - 12:00
    Hörsaal 7
    
    Friday
    24.06.
    10:00 - 12:00
    Hörsaal 7

Information

Aims, contents and method of the course

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

Assessment and permitted materials

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

Minimum requirements and assessment criteria

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.

Examination topics

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.

Reading list

Material is provided via the e-learning platform

Association in the course directory

Last modified: Mo 07.09.2020 15:46