Universität Wien FIND

Bedingt durch die COVID-19-Pandemie können kurzfristige Änderungen bei Lehrveranstaltungen und Prüfungen (z.B. Absage von Vor-Ort-Lehre und Umstellung auf Online-Prüfungen) erforderlich sein. Melden Sie sich für Lehrveranstaltungen/Prüfungen über u:space an, informieren Sie sich über den aktuellen Stand auf u:find und auf der Lernplattform moodle. ACHTUNG: Lehrveranstaltungen, bei denen zumindest eine Einheit vor Ort stattfindet, werden in u:find momentan mit "vor Ort" gekennzeichnet.

Regelungen zum Lehrbetrieb vor Ort inkl. Eintrittstests finden Sie unter https://studieren.univie.ac.at/info.

040491 KU Implementation of Optimization Techniques - Teil 1 (MA) (2020W)

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

It is now split into two parts: Implementation of Optimization Techniques Part 1 (4 ECTS) and Implementation of Optimization Techniques Part 2 (4 ECTS). Hence, both courses are compulsory for students of Business Administration doing their Major in Smart Production and Supply Chain Management (as an equivalent to the old 8 ECTS course).

For students of International Business Administration and students of Business Administration who are NOT doing their Major in Smart Production and Supply Chain Management, this course can be chosen as elective course.

In general, there is no prior knowledge necessary to attend this course. However, it is suggested to complete the Introductory Phase of the Curriculum prior to visiting this course. Furthermore, having a basic knowledge of a programming language and/or algorithmic thinking is an advantage. For students who want to prepare for this course we recommend the following courses and resources:
* UK Special Topics in Production/Logistics/SCM: Softwaretools in Decision Support

The course is particularly recommended to students, who want to write their thesis in the field Smart Production and Supply Chain Management

If students do not complete Part 1 successfully, those will be de-registered by the system for Part 2.


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


max. 35 Teilnehmer*innen
Sprache: Englisch


Termine (iCal) - nächster Termin ist mit N markiert

Donnerstag 01.10. 11:30 - 13:00 Digital
Donnerstag 08.10. 11:30 - 13:00 Digital
Donnerstag 15.10. 11:30 - 13:00 Digital
Donnerstag 22.10. 11:30 - 13:00 Digital
Donnerstag 29.10. 11:30 - 13:00 Digital
Donnerstag 05.11. 11:30 - 13:00 Digital
Donnerstag 12.11. 11:30 - 13:00 Digital
Donnerstag 19.11. 11:30 - 13:00 Digital


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 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)
* Simple to slightly advanced programs, including the Nearest Neighbor Algorithm for the TSP

Art der Leistungskontrolle und erlaubte Hilfsmittel

* [100%] Homework/Projects: Programming Exercises & Theory questions
Attempts of cheating 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.
The amount of work for the programming exercises increases throughout the course. The achievable points for the exercises are therefore weighted according to their workload (i.e. exercises at the beginning of the course are worth less points than exercises at the end of the course).

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 50% of the projects have to be positive. The other grades are distributed as follows:
1: >87% to 100%
2: >75% to <87.5%
3: >63% to <75%
4: >50% to <62.5%


* Basic concepts of the C# programming language (data types and operators, methods, classes, loops, input and output with files, arrays)
* Implementation of programs that make use of the mentioned concepts of C#


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:

Zuordnung im Vorlesungsverzeichnis

Letzte Änderung: Mo 05.10.2020 10:08