Universität Wien FIND

040161 KU Implementation of Optimization Techniques - Teil 2 (MA) (2020S)

4.00 ECTS (2.00 SWS), SPL 4 - Wirtschaftswissenschaften
Prüfungsimmanente Lehrveranstaltung

An/Abmeldung

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

Details

max. 35 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

Donnerstag 07.05. 15:00 - 18:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Donnerstag 14.05. 15:00 - 18:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Donnerstag 28.05. 15:00 - 18:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Donnerstag 04.06. 15:00 - 18:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Seminarraum 6 Oskar-Morgenstern-Platz 1 1.Stock
Donnerstag 18.06. 15:00 - 18:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Donnerstag 25.06. 15:00 - 18:15 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

Overall objective: to learn "hands-on" how to implement optimization algorithms in C#.
The course covers following topics:
* Get familiar with Microsoft Visual Studio
* Basic and advanced concepts of the C# programming language (data types and operators, methods, classes, loops, input and output with files, arrays)
* Methodological knowledge for developing algorithms and their translation into C# (a step by step approach to select suitable data and program structures)
* Implementation of Constructive Methods and Improvement Methods for the Traveling Salesperson Problem (TSP) and the Vehicle Routing Problem (VRP)

Art der Leistungskontrolle und erlaubte Hilfsmittel

* [30%] Homework: Programming Exercises
* [30%] Mid-Term Project
* [40%] End-Term Project
The homework programming exercises have to be done in groups of 2 - 3 people. They have to be uploaded in Moodle until latest Tuesday 23:59 o'clock prior to the next class.
Attempts of cheating by groups (e.g., uploading code which was partly not written by themselves) or single students (e.g., no contribution to the exercise) might be penalized by deducting up to twice as many points as the exercise is worth. In severe cases, cheating (copying code) may even lead to failing the course and an entry of “X” in the record of exams.

Mindestanforderungen und Beurteilungsmaßstab

In order to obtain a positive grade on the course, at least 50% of the overall points have to be achieved, and at least one out of 2 projects has to be positive (> 50%). The other grades are distributed as follows:
1: 87% to 100%
2: 75% to <87%
3: 63% to <75%
4: 50% to <63%

Prüfungsstoff

* Basic and advanced concepts of the C# programming language (data types and operators, methods, classes, loops, input and output with files, arrays).
* Implementation of optimization methods for various problems that arise in production and logistics.

Literatur

The teaching material (slides, exercises, sample solutions, etc.) is available on the e-learning platform Moodle.
In order to access this material you need a valid UNET account. Moodle weblogin: https://moodle.univie.ac.at/

Useful links:
https://docs.microsoft.com/en-us/dotnet/csharp/tutorials/intro-to-csharp/
https://dotnet.microsoft.com/learn/csharp
https://www.tutorialspoint.com/csharp/index.htm
https://www.tutorialsteacher.com/csharp/csharp-tutorials

Zuordnung im Vorlesungsverzeichnis

Letzte Änderung: Mo 07.09.2020 15:19