040974 UK Methods of Decision Support (MA) (2024S)
Prüfungsimmanente Lehrveranstaltung
Labels
DIGITAL
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Mo 12.02.2024 09:00 bis Mi 21.02.2024 12:00
- Abmeldung bis Do 14.03.2024 23:59
Details
max. 30 Teilnehmer*innen
Sprache: Englisch
Lehrende
Termine (iCal) - nächster Termin ist mit N markiert
Mittwoch
06.03.
15:00 - 16:30
Digital
Mittwoch
13.03.
15:00 - 16:30
Digital
Mittwoch
20.03.
15:00 - 16:30
Digital
Mittwoch
10.04.
15:00 - 16:30
Digital
Mittwoch
17.04.
15:00 - 16:30
Digital
Mittwoch
24.04.
15:00 - 16:30
Digital
Mittwoch
08.05.
15:00 - 16:30
Digital
Mittwoch
15.05.
15:00 - 16:30
Digital
N
Mittwoch
22.05.
15:00 - 16:30
Digital
Mittwoch
29.05.
15:00 - 16:30
Digital
Mittwoch
05.06.
15:00 - 16:30
Digital
Mittwoch
12.06.
15:00 - 16:30
Digital
Mittwoch
19.06.
15:00 - 16:30
Digital
Mittwoch
26.06.
15:00 - 16:30
Digital
Information
Ziele, Inhalte und Methode der Lehrveranstaltung
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.
Art der Leistungskontrolle und erlaubte Hilfsmittel
The course will be held in the form of MS Teams videomeetings. 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.
Mindestanforderungen und Beurteilungsmaßstab
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.
Prüfungsstoff
All topics covered in the course.
Literatur
Necessary material (including a collection of exercises) will be made available to the participants by Moodle.
Zuordnung im Vorlesungsverzeichnis
Letzte Änderung: Di 05.03.2024 13:05