390020 DK PhD-M: Management Decision Making (2015W)
Continuous assessment of course work
Labels
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 14.09.2015 09:00 to Th 24.09.2015 14:00
- Deregistration possible until We 14.10.2015 23:59
Details
max. 15 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
Thursday
08.10.
09:45 - 11:15
Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
Thursday
15.10.
09:45 - 11:15
Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
Thursday
22.10.
09:45 - 11:15
Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
Thursday
29.10.
09:45 - 11:15
Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
Thursday
05.11.
09:45 - 11:15
Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
Thursday
12.11.
09:45 - 11:15
Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
Thursday
19.11.
09:45 - 11:15
Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
Thursday
26.11.
09:45 - 11:15
Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
Thursday
03.12.
09:45 - 11:15
Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
Thursday
10.12.
09:45 - 11:15
Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
Thursday
17.12.
09:45 - 11:15
Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
Thursday
07.01.
09:45 - 11:15
Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
Thursday
14.01.
09:45 - 11:15
Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
Thursday
21.01.
09:45 - 11:15
Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
Thursday
28.01.
09:45 - 11:15
Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
Information
Aims, contents and method of the course
Assessment and permitted materials
Classroom work and exercises (20%)
Final exam (40%)
Research project or survey paper (at the student's choice) (40%)
Final exam (40%)
Research project or survey paper (at the student's choice) (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
Association in the course directory
Last modified: Mo 07.09.2020 15:46
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 under incomplete information and sensitivity analysis
7 Multicriteria decisions: Additive models
8 Multicriteria decisions: Non-compensatory models