040182 KU Implementation of Optimization Techniques - Part 1 (MA) (2023S)

4.00 ECTS (2.00 SWS), SPL 4 - Wirtschaftswissenschaften

Continuous assessment of course work

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).

Registration is open from Mo 13.02.2023 09:00 to We 22.02.2023 12:00
Registration is open from Mo 27.02.2023 09:00 to Tu 28.02.2023 12:00
Deregistration possible until Fr 17.03.2023 23:59

Details

max. 35 participants

Language: English

Lecturers

Alexander Kinast

Classes (iCal) - next class is marked with N

    
    Wednesday
    01.03.
    13:15 - 14:45
    Digital
    
    Wednesday
    08.03.
    13:15 - 14:45
    Digital
    
    Wednesday
    15.03.
    13:15 - 14:45
    Digital
    
    Wednesday
    22.03.
    13:15 - 14:45
    Digital
    
    Wednesday
    29.03.
    13:15 - 14:45
    Digital
    
    Wednesday
    19.04.
    13:15 - 14:45
    Digital
    
    Wednesday
    26.04.
    13:15 - 14:45
    Digital
    
    Wednesday
    03.05.
    13:15 - 14:45
    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
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 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

see english version

Association in the course directory

Last modified: Th 11.05.2023 11:27