Universität Wien

040974 UK Methods of Decision Support (2022S)

3.00 ECTS (2.00 SWS), SPL 4 - Wirtschaftswissenschaften
Prüfungsimmanente Lehrveranstaltung
DIGITAL
Moodle

An/Abmeldung

Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").

Details

max. 30 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

  • Mittwoch 02.03. 15:00 - 16:30 Digital
  • Mittwoch 09.03. 15:00 - 16:30 Digital
  • Mittwoch 16.03. 15:00 - 16:30 Digital
  • Mittwoch 23.03. 15:00 - 16:30 Digital
  • Mittwoch 30.03. 15:00 - 16:30 Digital
  • Mittwoch 06.04. 15:00 - 16:30 Digital
  • Mittwoch 27.04. 15:00 - 16:30 Digital
  • Mittwoch 04.05. 15:00 - 16:30 Digital
  • Mittwoch 11.05. 15:00 - 16:30 Digital
  • Mittwoch 18.05. 15:00 - 16:30 Digital
  • Mittwoch 25.05. 15:00 - 16:30 Digital
  • Mittwoch 01.06. 15:00 - 16:30 Digital
  • Mittwoch 08.06. 15:00 - 16:30 Digital
  • Mittwoch 15.06. 15:00 - 16:30 Digital
  • Mittwoch 22.06. 15:00 - 16:30 Digital
  • Mittwoch 29.06. 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: Do 11.05.2023 11:27