Universität Wien
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040064 KU Implementation of Optimization Techniques - Part 2 (MA) (2024W)

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

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.
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

  • Friday 29.11. 15:00 - 16:30 Digital
  • Friday 06.12. 15:00 - 16:30 Digital
  • Friday 13.12. 15:00 - 16:30 Digital
    Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Friday 10.01. 15:00 - 16:30 Digital
  • Friday 17.01. 15:00 - 16:30 Digital
  • Friday 24.01. 15:00 - 16:30 Digital
  • Friday 31.01. 15:00 - 16:30 Digital
    Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock

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

* [80%] There will be a handwritten exam at the end of the semester.
* [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%

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

Slides in Moodle.
Introduction courses to C#.

Association in the course directory

Last modified: Tu 19.11.2024 11:05