040974 UK Methods of Decision Support (2020S)
Prüfungsimmanente Lehrveranstaltung
Labels
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Mo 10.02.2020 09:00 bis Mi 19.02.2020 12:00
- Abmeldung bis Do 30.04.2020 23:59
Details
max. 50 Teilnehmer*innen
Sprache: Englisch
Lehrende
Termine (iCal) - nächster Termin ist mit N markiert
- Donnerstag 05.03. 15:00 - 16:30 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
- Donnerstag 19.03. 15:00 - 16:30 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
- Donnerstag 26.03. 15:00 - 16:30 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
- Donnerstag 02.04. 15:00 - 16:30 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
- Donnerstag 23.04. 15:00 - 16:30 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
- Donnerstag 30.04. 15:00 - 16:30 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
- Donnerstag 07.05. 15:00 - 16:30 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
- Donnerstag 14.05. 15:00 - 16:30 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
- Donnerstag 28.05. 15:00 - 16:30 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
- Donnerstag 04.06. 15:00 - 16:30 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
- Donnerstag 18.06. 15:00 - 16:30 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
- Donnerstag 25.06. 15:00 - 16:30 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
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
IMPORTANT: Due to the current coronavirus epidemics, no meetings in the course room will take place until April 3, 2020. During this time, the course is held via remote learning. For course material, additional support, discussion, and the way how to gain participation points during that time, please consult Moodle.Mode for the time after the resumption of physical meetings:
There is no compulsory attendance at the lectures. At the beginning of (most of) the lectures students can volunteer to present their solutions to exercises prepared at home. At the end of the term there may be an (optional) written exam in case the exercise presentations have not been sufficient or satisfactory.
There is no compulsory attendance at the lectures. At the beginning of (most of) the lectures students can volunteer to present their solutions to exercises prepared at home. At the end of the term there may be an (optional) written exam in case the exercise presentations have not been sufficient or satisfactory.
Mindestanforderungen und Beurteilungsmaßstab
Each student has to give at least three exercise presentations (in at least two different topics) in a satisfactory quality. For the way how to replace course-room presentations by the electronic submission of solved exercises during the "corona lockdown" phase, please consult Moodle.
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: Mo 07.09.2020 15:20