040161 KU Implementation of Optimization Techniques - Part 2 (MA) (2025S)
Continuous assessment of course work
Labels
REMOTE
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).
- Registration is open from Mo 10.02.2025 09:00 to Tu 18.02.2025 12:00
- Registration is open from We 26.02.2025 09:00 to Th 27.02.2025 12:00
- Registration is open from Fr 25.04.2025 09:00 to Fr 02.05.2025 23:59
- Deregistration possible until Fr 09.05.2025 09:00
Details
max. 35 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
- N Friday 09.05. 15:00 - 16:30 Digital
- Friday 16.05. 15:00 - 16:30 Digital
- Friday 23.05. 15:00 - 16:30 Digital
- Friday 30.05. 15:00 - 16:30 Digital
- Friday 06.06. 15:00 - 16:30 Digital
- Friday 13.06. 15:00 - 16:30 Digital
- Friday 20.06. 15:00 - 16:30 Digital
- Friday 27.06. 15:00 - 16:30 Digital
Information
Aims, contents and method of the course
Assessment and permitted materials
* [80%] There will be a handwritten exam at the end of the semester.
* [20%] Midterm quiz
* [20%] Midterm quiz
Minimum requirements and assessment criteria
To obtain a positive grade on the course, more than 50% of the overall points have to be achieved.
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%
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.
* Implementation of optimization methods for various problems that arise in production and logistics.
Reading list
Slides in Moodle
Association in the course directory
Last modified: Th 24.04.2025 13:45
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