040974 UK Methods of Decision Support (2022S)
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 07.02.2022 09:00 to Mo 21.02.2022 12:00
- Registration is open from Th 24.02.2022 09:00 to Fr 25.02.2022 12:00
- Deregistration possible until Mo 14.03.2022 23:59
Details
max. 30 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
- Wednesday 02.03. 15:00 - 16:30 Digital
- Wednesday 09.03. 15:00 - 16:30 Digital
- Wednesday 16.03. 15:00 - 16:30 Digital
- Wednesday 23.03. 15:00 - 16:30 Digital
- Wednesday 30.03. 15:00 - 16:30 Digital
- Wednesday 06.04. 15:00 - 16:30 Digital
- Wednesday 27.04. 15:00 - 16:30 Digital
- Wednesday 04.05. 15:00 - 16:30 Digital
- Wednesday 11.05. 15:00 - 16:30 Digital
- Wednesday 18.05. 15:00 - 16:30 Digital
- Wednesday 25.05. 15:00 - 16:30 Digital
- Wednesday 01.06. 15:00 - 16:30 Digital
- Wednesday 08.06. 15:00 - 16:30 Digital
- Wednesday 15.06. 15:00 - 16:30 Digital
- Wednesday 22.06. 15:00 - 16:30 Digital
- Wednesday 29.06. 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