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.

Weitere Informationen zum Lehrbetrieb vor Ort finden Sie unter https://studieren.univie.ac.at/info.

040491 KU Implementation of Optimization Techniques (MA) (2016W)

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

The KU Implementation of Optimization Techniques is offered as a Nicht-BWL-Modul for the KFKs Production Management, Supply Chain Management, and Transportation Logistics in the old Master Curriculum Business Administration. In the new Master Curriculum (WS16) the course is obligatory of the Major Smart Production and Supply Chain Management.

The course is recomended for students who intend to write their master thesis at the chair of Production and Operations Management (POM) or the chair of Production and Operations Management with International Focus (PLIS).

Student of Business Informatics are advised to attend other Nicht-BWL-Moduls of the above mentioned KFKs.

An/Abmeldung

Details

max. 35 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

Donnerstag 06.10. 15:00 - 18:15 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Donnerstag 13.10. 15:00 - 18:15 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Donnerstag 20.10. 15:00 - 18:15 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Donnerstag 27.10. 15:00 - 18:15 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Donnerstag 03.11. 15:00 - 18:15 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Donnerstag 10.11. 15:00 - 18:15 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Donnerstag 17.11. 15:00 - 18:15 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Donnerstag 24.11. 15:00 - 18:15 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Donnerstag 01.12. 15:00 - 18:15 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Donnerstag 15.12. 15:00 - 18:15 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Donnerstag 12.01. 15:00 - 18:15 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Donnerstag 19.01. 15:00 - 18:15 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Donnerstag 26.01. 15:00 - 18:15 PC-Seminarraum 1 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 Community 2015 for Windows Desktop (including debugging and preprocessor directives)
* Basic concepts of the C++ programming language (data types and operators, selective structures, iteration structures, input and output with files, arrays, functions, structures, pointers, standard template library, recursive functions).
* Methodological knowledge for developing algorithms and their translation into C++ (a step by step approach to select suitable data and program structures)
* Flow charts as a measure to describe an algorithm properly
* 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

* [40%] Homework: Programming Exercises (30%) & Theory questions (10%)
* [25%] Mid-Term Exam
* [35%] End-Term Exam

The homework programming exercises can (and should 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. At the beginning of each class groups will be randomly selected to present their code (resp. solution method).
The amount of work for the homework exercises increases throughout the semester, therefore the amount of points which can be gained is weighted according to their workload (i.e. exercises at the beginning of the semester are worth less points than exercises at the end of the semester).
Attempts of cheating by groups (e.g. uploading code which was not written by themselves) of single students (e.g. no contribution to the exercise) can be penalized by deducting up to twice as many points as the exercise is worth.

Theory questions have to be ticked on Moodle until Thursday 12:00 o'clock. At the beginning of each class students will be selected randomly to present the answers to the theory questions. Again, attempts of cheating can be penalized by deducting up to twice as many points as the question is worth.

In general, if a theory question is ticked or a programming exercise is uploaded students must be present in class, so that they can be chosen to present their homework. Failure to do so (without prior notification of absence) will be considered as an attempt of cheating.

Mindestanforderungen und Beurteilungsmaßstab

At least 50% have to be obtained for a positive grade. The other grades are distributed as follows:
4: 50% to <63%
3: 63% to <75%
2: 75% to <87%
1: 87% to 100%

Prüfungsstoff

Literatur

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

Useful links:
http://www.cplusplus.com/doc/tutorial/
http://www.cppreference.com
http://www.uow.edu.au/~nabg/ABC/ABC.html


Zuordnung im Vorlesungsverzeichnis

Letzte Änderung: Mo 07.09.2020 15:29