040161 KU Implementation of Optimization Techniques - Part 2 (MA) (2024S)
Continuous assessment of course work
Labels
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 12.02.2024 09:00 to We 21.02.2024 12:00
- Registration is open from Mo 26.02.2024 09:00 to Tu 27.02.2024 12:00
- Deregistration possible until Th 14.03.2024 23:59
Details
max. 35 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
N
Friday
10.05.
15:00 - 16:30
Digital
Friday
17.05.
15:00 - 16:30
Digital
Friday
24.05.
15:00 - 16:30
Digital
Friday
31.05.
15:00 - 16:30
Digital
Friday
07.06.
15:00 - 16:30
Digital
Friday
14.06.
15:00 - 16:30
Digital
Friday
21.06.
15:00 - 16:30
Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
Friday
28.06.
15:00 - 16:30
Digital
Information
Aims, contents and method of the course
Assessment and permitted materials
* [100%] There will be a handwritten exam at the end of the semester.
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.
Introduction courses to C#.
Introduction courses to C#.
Association in the course directory
Last modified: Mo 12.02.2024 11:45
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)