Universität Wien FIND

Return to Vienna for the summer semester of 2022. We are planning to hold courses mainly on site to enable the personal exchange between you, your teachers and fellow students. We have labelled digital and mixed courses in u:find accordingly.

Due to COVID-19, there might be changes at short notice (e.g. individual classes in a digital format). Obtain information about the current status on u:find and check your e-mails regularly.

Please read the information on https://studieren.univie.ac.at/en/info.

040491 KU Implementation of Optimization Techniques (MA) (2017W)

8.00 ECTS (4.00 SWS), SPL 4 - Wirtschaftswissenschaften
Continuous assessment of course work

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.

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 35 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

!!! ATTENTION: End-Term Exam on 01. Feb. 2017 15:00h !!!

Thursday 05.10. 15:00 - 18:15 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Thursday 12.10. 15:00 - 18:15 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Thursday 19.10. 15:00 - 18:15 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Thursday 09.11. 15:00 - 18:15 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Thursday 16.11. 15:00 - 18:15 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Thursday 23.11. 13:15 - 14:45 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Thursday 23.11. 15:00 - 18:15 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Thursday 23.11. 18:30 - 20:00 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Thursday 30.11. 15:00 - 18:15 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Thursday 07.12. 15:00 - 18:15 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Thursday 14.12. 15:00 - 18:15 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Thursday 11.01. 15:00 - 18:15 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Thursday 18.01. 15:00 - 18:15 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Thursday 25.01. 15:00 - 18:15 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß

Information

Aims, contents and method of the course

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)
* Implementation of Constructive Methods and Improvement Methods for the Traveling Salesperson Problem (TSP) and the Vehicle Routing Problem (VRP)

Assessment and permitted materials

* [35%] Homework: Programming Exercises (28%) & Theory questions (7%)
* [30%] Mid-Term Exam (30. Nov. 2017)
* [35%] End-Term Exam (01. Feb. 2017 !!ATTENTION!!)

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.

Minimum requirements and assessment criteria

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 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%

Examination topics

* 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.

Reading list

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

Association in the course directory

Last modified: Mo 07.09.2020 15:29