Universität Wien

040491 KU Implementation of Optimization Techniques - Part 1 (MA) (2021W)

4.00 ECTS (2.00 SWS), SPL 4 - Wirtschaftswissenschaften
Continuous assessment of course work
REMOTE

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.
Moodle

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

  • Thursday 07.10. 15:00 - 16:30 Digital
  • Thursday 14.10. 15:00 - 16:30 Digital
  • Thursday 21.10. 15:00 - 16:30 Digital
  • Thursday 28.10. 15:00 - 16:30 Digital
  • Thursday 04.11. 15:00 - 16:30 Digital
  • Thursday 11.11. 15:00 - 16:30 Digital
  • Thursday 18.11. 15:00 - 16:30 Digital

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
* 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

Assessment and permitted materials

* [100%] Homework/Projects: Programming Exercises & Theory questions
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).

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

Examination topics

* 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#

Reading list

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

Association in the course directory

Last modified: Fr 12.05.2023 00:12