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040212 VO Decisions under Uncertainty (MA) (2021W)
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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).
Details
Language: English
Examination dates
- Monday 31.01.2022 16:45 - 19:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
-
Thursday
24.02.2022
16:45 - 19:30
Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock - Wednesday 25.05.2022 16:45 - 19:30 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
- Thursday 22.09.2022 15:00 - 17:45 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
Lecturers
Classes (iCal) - next class is marked with N
TUTORIUM will be held on the following dates:
FR 08.10.2021 08.45-09.30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß (Bestätigt)FR 15.10.2021 08.45-09.30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß (Bestätigt)
FR 22.10.2021 08.45-09.30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß (Bestätigt)
FR 29.10.2021 08.45-09.30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß (Bestätigt)
FR 05.11.2021 08.45-09.30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß (Bestätigt)
FR 12.11.2021 08.45-09.30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß (Bestätigt)
FR 19.11.2021 08.45-09.30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß (Bestätigt)
FR 26.11.2021 08.45-09.30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß (Bestätigt)
FR 03.12.2021 08.45-09.30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß (Bestätigt)
FR 10.12.2021 08.45-09.30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß (Bestätigt)
FR 17.12.2021 08.45-09.30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß (Bestätigt)
FR 07.01.2022 08.45-09.30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß (Bestätigt)
FR 14.01.2022 08.45-09.30 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock (Bestätigt)
FR 21.01.2022 08.45-09.30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß (Bestätigt)
FR 28.01.2022 08.45-09.30 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock (Bestätigt)
- Monday 04.10. 15:00 - 16:30 Digital
- Monday 11.10. 15:00 - 16:30 Digital
- Monday 18.10. 15:00 - 16:30 Digital
- Monday 25.10. 15:00 - 16:30 Digital
- Monday 08.11. 15:00 - 16:30 Digital
- Monday 15.11. 15:00 - 16:30 Digital
- Monday 22.11. 15:00 - 16:30 Digital
- Monday 29.11. 15:00 - 16:30 Digital
- Monday 06.12. 15:00 - 16:30 Digital
- Monday 13.12. 15:00 - 16:30 Digital
- Monday 10.01. 15:00 - 16:30 Digital
- Monday 17.01. 15:00 - 16:30 Digital
- Monday 24.01. 15:00 - 16:30 Digital
Information
Aims, contents and method of the course
Assessment and permitted materials
written exam about the topics discussed in the lecturePermitted materials for the exam:
No documents (neither notes nor formularies) are allowed. A simple, non-programmable calculator, without matrix operations, which does not plot graphs, cannot solve equations, and does not compute derivatives or integrals is allowed.Please note that mobile phones, smart watches etc. must be out of reach during the exam.For more information please visit
http://homepage.univie.ac.at/andrea.gaunersdorfer/teaching/decisions.html
No documents (neither notes nor formularies) are allowed. A simple, non-programmable calculator, without matrix operations, which does not plot graphs, cannot solve equations, and does not compute derivatives or integrals is allowed.Please note that mobile phones, smart watches etc. must be out of reach during the exam.For more information please visit
http://homepage.univie.ac.at/andrea.gaunersdorfer/teaching/decisions.html
Minimum requirements and assessment criteria
For passing the exam you need 50% of possible points.
Examination topics
Topics discussed in the lecture or which material is provided in Moodle.
Reading list
A. Gaunersdorfer, Decisions under Uncertainty, Lecture Notes, October 2021.http://homepage.univie.ac.at/andrea.gaunersdorfer/teaching
Association in the course directory
Last modified: Fr 12.05.2023 00:12
Introduction (what is decision theory, decisions under risk)
Expected utility theory
Risk aversion
Stochastic Dominance and Risk Comparisions
Some Remarks on the Mean-Variance Approach
Empirical Facts
Prospect Theory
Sequential Decisions and the Role of InformationFor more details see
http://homepage.univie.ac.at/andrea.gaunersdorfer/teaching/decisions.htmlMaterials for home-learning will be provided on Moodle.
These serve as complementary additions to the script, which allow the student to independently study the material.
We will discuss formal concepts and examples during the classroom units.