040064 KU Implementation of Optimization Techniques - Part 2 (MA) (2020W)
Continuous assessment of course work
Labels
The course KU Implementation of Optimisation Techniques (8 ECTS) as mentioned in the master’s curriculum Business Administration will not be offered any more in its original form. 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 Business Administration who are NOT doing their Major in Smart Production and Supply Chain Management, this course can be chosen as elective course.A positive grade in Implementation of Optimization Techniques Part 1 is a prerequisite for participating in this course.The course is particularly recommended to students, who want to write their thesis in the field Smart Production and Supply Chain Management.
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 14.09.2020 09:00 to We 23.09.2020 12:00
- Registration is open from Mo 28.09.2020 09:00 to Th 26.11.2020 12:00
- Deregistration possible until Mo 30.11.2020 12:00
Details
max. 35 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
- Thursday 26.11. 11:30 - 13:00 Digital
- Thursday 03.12. 11:30 - 13:00 Digital
- Thursday 10.12. 11:30 - 13:00 Digital
- Thursday 17.12. 11:30 - 13:00 Digital
- Thursday 07.01. 11:30 - 13:00 Digital
- Thursday 14.01. 11:30 - 13:00 Digital
- Thursday 21.01. 11:30 - 13:00 Digital
- Thursday 28.01. 11:30 - 13:00 Digital
Information
Aims, contents and method of the course
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).
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%
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
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
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
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)