Universität Wien

040161 KU Implementation of Optimization Techniques - Part 2 (MA) (2022S)

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

  • Wednesday 11.05. 15:00 - 16:30 Digital
  • Wednesday 18.05. 15:00 - 16:30 Digital
  • Wednesday 25.05. 15:00 - 16:30 Digital
  • Wednesday 01.06. 15:00 - 16:30 Digital
  • Wednesday 08.06. 15:00 - 16:30 Digital
  • Wednesday 22.06. 15:00 - 16:30 Digital
  • Wednesday 29.06. 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 and advanced 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)
* Implementation of Constructive Methods and Improvement Methods for the Traveling Salesperson Problem (TSP) and the Vehicle Routing Problem (VRP)

Assessment and permitted materials

* [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).

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% to 100%
2: >75% to <87.5%
3: >63% to <75%
4: >50% to <62.5%

Examination topics

* Basic and advanced concepts of the C# programming language (data types and operators, methods, classes, loops, input and output with files, arrays).
* Implementation of optimization methods for various problems that arise in production and logistics.

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: Th 11.05.2023 11:27