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) (2018S)

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

The course KU Implementation of Optimisation Techniques (8 ECTS) as mentioned in the master’s curriculum Business Administration will not be offered any more in its original form. 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
* https://www.learncpp.com/
* https://www.cprogramming.com/tutorial/c++-tutorial.html

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

An/Abmeldung

Details

max. 20 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

Donnerstag 01.03. 15:00 - 18:15 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Donnerstag 08.03. 15:00 - 18:15 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Donnerstag 15.03. 15:00 - 18:15 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Donnerstag 22.03. 15:00 - 18:15 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Donnerstag 12.04. 15:00 - 18:15 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Donnerstag 19.04. 15:00 - 18:15 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Donnerstag 26.04. 15:00 - 18:15 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Donnerstag 03.05. 15:00 - 18:15 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Donnerstag 17.05. 15:00 - 18:15 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Donnerstag 24.05. 15:00 - 18:15 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Donnerstag 07.06. 15:00 - 18:15 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Donnerstag 14.06. 15:00 - 18:15 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Montag 18.06. 16:45 - 18:15 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Donnerstag 21.06. 15:00 - 18:15 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Donnerstag 28.06. 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 2017 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)
* 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

* [35%] Homework: Programming Exercises (28%) & Theory questions (7%)
* [30%] 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.

If one is asked to present the solution of a programming exercise but fails to do so, all points for programming exercises of the respective class will be canceled. Similarly, if one fails to answer a theory question, all ticks for theory questions of the respective class will be canceled.

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 two written exams has to be positive (>= 50%). The other grades are distributed as follows:
4: 50% to <63%
3: 63% to <75%
2: 75% to <87%
1: 87% to 100%

Prüfungsstoff

* 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, etc.).
* Implementation of optimization methods for various problems that arise in production and logistics.

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

Zuordnung im Vorlesungsverzeichnis

Letzte Änderung: Mo 07.09.2020 15:29