040974 UK Methods of Decision Support (2021S)

3.00 ECTS (2.00 SWS), SPL 4 - Wirtschaftswissenschaften

Continuous assessment of course work

REMOTE

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).

Registration is open from Th 11.02.2021 09:00 to Mo 22.02.2021 12:00
Registration is open from Th 25.02.2021 09:00 to Fr 26.02.2021 12:00
Deregistration possible until We 31.03.2021 23:59

Details

max. 50 participants

Language: English

Lecturers

Walter Gutjahr

Classes (iCal) - next class is marked with N

Monday 01.03. 09:45 - 11:15 Digital
Monday 08.03. 09:45 - 11:15 Digital
Monday 15.03. 09:45 - 11:15 Digital
Monday 22.03. 09:45 - 11:15 Digital
Monday 12.04. 09:45 - 11:15 Digital
Monday 19.04. 09:45 - 11:15 Digital
Monday 26.04. 09:45 - 11:15 Digital
Monday 03.05. 09:45 - 11:15 Digital
Monday 10.05. 09:45 - 11:15 Digital
Monday 17.05. 09:45 - 11:15 Digital
Monday 31.05. 09:45 - 11:15 Digital
Monday 07.06. 09:45 - 11:15 Digital
Monday 14.06. 09:45 - 11:15 Digital
Monday 21.06. 09:45 - 11:15 Digital
Monday 28.06. 09:45 - 11:15 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.

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: Fr 12.05.2023 00:13