Universität Wien
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040114 UK Optimization under Uncertainty (MA) (2017S)

4.00 ECTS (2.00 SWS), SPL 4 - Wirtschaftswissenschaften
Continuous assessment of course work
Moodle

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

max. 50 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Monday 06.03. 13:15 - 14:45 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
  • Tuesday 07.03. 11:30 - 13:00 Studierzone
  • Tuesday 14.03. 08:00 - 10:00 Seminarraum 6 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 20.03. 13:15 - 14:45 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
  • Tuesday 21.03. 11:30 - 13:00 Studierzone
  • Monday 27.03. 13:15 - 14:45 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
  • Tuesday 28.03. 11:30 - 13:00 Studierzone
  • Monday 03.04. 13:15 - 14:45 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
  • Monday 24.04. 13:15 - 14:45 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
  • Tuesday 25.04. 11:30 - 13:00 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 08.05. 13:15 - 14:45 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
  • Monday 15.05. 13:15 - 14:45 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
  • Monday 22.05. 13:15 - 14:45 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
  • Monday 29.05. 13:15 - 14:45 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock

Information

Aims, contents and method of the course

Study practically relevant aspects of operations research including in particular the consideration of uncertain input data (stochastic optimization, robust optimization)

Assessment and permitted materials

written exam, blackboard exercises

Minimum requirements and assessment criteria

This course should help graduate students to:
a) develop mathematical models for (real world) optimization problems
b) apply different concepts to treat uncertain input data in optimization and understand the consequences implied by choosing on of these techniques

Examination topics

Reading list

Association in the course directory

Last modified: Mo 07.09.2020 15:28