040974 UK Methods of Decision Support (MA) (2023S)
Continuous assessment of course work
Labels
REMOTE
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 13.02.2023 09:00 to We 22.02.2023 12:00
- Registration is open from Mo 27.02.2023 09:00 to Tu 28.02.2023 12:00
- Deregistration possible until Fr 17.03.2023 23:59
Details
max. 30 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
- Wednesday 01.03. 15:00 - 16:30 Digital
- Wednesday 08.03. 15:00 - 16:30 Digital
- Wednesday 15.03. 15:00 - 16:30 Digital
- Wednesday 22.03. 15:00 - 16:30 Digital
- Wednesday 29.03. 15:00 - 16:30 Digital
- Wednesday 19.04. 15:00 - 16:30 Digital
- Wednesday 26.04. 15:00 - 16:30 Digital
- Wednesday 03.05. 15:00 - 16:30 Digital
- Wednesday 10.05. 15:00 - 16:30 Digital
- Wednesday 17.05. 15:00 - 16:30 Digital
- Wednesday 24.05. 15:00 - 16:30 Digital
- Wednesday 31.05. 15:00 - 16:30 Digital
- Wednesday 07.06. 15:00 - 16:30 Digital
- Wednesday 14.06. 15:00 - 16:30 Digital
- Wednesday 21.06. 15:00 - 16:30 Digital
- Wednesday 28.06. 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: Th 11.05.2023 11:27