040974 UK Methods of Decision Support (2017S)
Prüfungsimmanente Lehrveranstaltung
Labels
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Mi 15.02.2017 09:00 bis Mi 22.02.2017 12:00
- Abmeldung bis Di 14.03.2017 23:59
Details
max. 50 Teilnehmer*innen
Sprache: Englisch
Lehrende
Termine (iCal) - nächster Termin ist mit N markiert
- Donnerstag 02.03. 13:15 - 14:45 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
- Donnerstag 09.03. 13:15 - 14:45 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
- Donnerstag 16.03. 13:15 - 14:45 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
- Donnerstag 23.03. 13:15 - 14:45 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
- Donnerstag 30.03. 13:15 - 14:45 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
- Donnerstag 06.04. 13:15 - 14:45 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
- Donnerstag 27.04. 13:15 - 14:45 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
- Donnerstag 04.05. 13:15 - 14:45 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
- Donnerstag 11.05. 13:15 - 14:45 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
- Donnerstag 18.05. 13:15 - 14:45 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
- Donnerstag 01.06. 13:15 - 14:45 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
- Donnerstag 08.06. 13:15 - 14:45 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
- Donnerstag 22.06. 13:15 - 14:45 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
- Donnerstag 29.06. 13:15 - 14:45 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
Information
Ziele, Inhalte und Methode der Lehrveranstaltung
The aim of the course is to get aware of common combinatorial optimization problems arising in the field of operations research and how to solve them. We will consider exact and heuristic solution methods for these problems: branch-and-bound methods, greedy algorithms, local search, simulated annealing, variable neighborhood search, genetic algorithms, dynamic programming. Finally, we will also cover optimization problems with multiple objectives.
Art der Leistungskontrolle und erlaubte Hilfsmittel
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 will be an (optional) oral exam in case the exercise presentations have not been sufficient or satisfactory. All supporting materials are allowed.
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 will be an (optional) oral exam in case the exercise presentations have not been sufficient or satisfactory. All supporting materials are allowed.
Mindestanforderungen und Beurteilungsmaßstab
Each student has to do at least two exercise presentations (in at least two different topics) in a satisfactory quality. If at the end of the course this goal is not reached there is the optional possibility of attending an oral exam.
Prüfungsstoff
All topics covered in the lecture.
Literatur
All necessary material or references to external literature will be made available in moodle.
Zuordnung im Vorlesungsverzeichnis
Letzte Änderung: Mo 07.09.2020 15:29