Universität Wien

040974 UK Methods of Decision Support (MA) (2024S)

3.00 ECTS (2.00 SWS), SPL 4 - Wirtschaftswissenschaften
Continuous assessment of course work
REMOTE
We 22.05. 15:00-16:30 Digital

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. 30 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

Wednesday 06.03. 15:00 - 16:30 Digital
Wednesday 13.03. 15:00 - 16:30 Digital
Wednesday 20.03. 15:00 - 16:30 Digital
Wednesday 10.04. 15:00 - 16:30 Digital
Wednesday 17.04. 15:00 - 16:30 Digital
Wednesday 24.04. 15:00 - 16:30 Digital
Wednesday 08.05. 15:00 - 16:30 Digital
Wednesday 15.05. 15:00 - 16:30 Digital
Wednesday 29.05. 15:00 - 16:30 Digital
Wednesday 05.06. 15:00 - 16:30 Digital
Wednesday 12.06. 15:00 - 16:30 Digital
Wednesday 19.06. 15:00 - 16:30 Digital
Wednesday 26.06. 15:00 - 16:30 Digital

Information

Aims, contents and method of the course

The aim of the course is to get acquainted with the basic concepts in the areas combinatorial optimization, dynamic optimization, and multicriteria decision analysis. Mathematical representations of important problem types (usually based on linear programming formulations) are introduced, and solution techniques are outlined. We shall discuss exact as well as heuristic solution methods. Among others, we will consider branch-and-bound methods, greedy algorithms, local search, simulated annealing, variable neighborhood search, genetic algorithms, dynamic programming, and epsilon-constraint methods.

Assessment and permitted materials

Participants will be provided with a collection of exercise examples. Each week, the participants can send solved exercises to the lecturer by e-mail; some of the submitted exercises are selected then for presentation in the course.

Minimum requirements and assessment criteria

Each student has to give at least three exercise presentations during the videomeetings. A larger number of presentations improves the grade. An exact scheme assigning received points for presentations to grades will be announced in time.

Examination topics

All topics covered in the course.

Reading list

Necessary material (including a collection of exercises) will be made available to the participants by Moodle.

Association in the course directory

Last modified: Tu 05.03.2024 13:05