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040182 KU Implementation of Optimization Techniques - Part 1 (MA) (2020S)

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

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first serve).

Details

max. 35 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

Thursday 05.03. 15:00 - 18:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Thursday 19.03. 15:00 - 18:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Thursday 26.03. 15:00 - 18:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Thursday 02.04. 15:00 - 18:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Seminarraum 13 Oskar-Morgenstern-Platz 1 2.Stock
Thursday 23.04. 15:00 - 18:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Thursday 30.04. 15:00 - 18:15 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß

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

* [30%] Homework: Programming Exercises (25%) & Theory questions (5%)
* [30%] Mid-Term Exam (pen and paper, closed book)
* [40%] End-Term Exam (programming, open book)

The homework programming exercises can (and should be done) in groups of 2 - 3 people. They have to be uploaded in Moodle until latest Tuesday 23:59 o'clock prior to the next class. Theory questions are individual assessments and have to be ticked on Moodle until Thursday 12:00 o'clock. At the beginning of each class students/groups will be randomly selected to present their answer/code. In general, if a theory question is ticked or a programming exercise is uploaded students must be present in class, so that they can be chosen to present their homework.
Absence without a valid excuse can be penalized by deducting up to twice as many points as the ticked questions/exercises are worth. If one is asked to present the solution of a programming exercise but fails to do so, all points for programming exercises of the respective class will be canceled. Similarly, if one fails to answer a theory question, all ticks for theory questions of the respective class will be canceled.
Attempts of cheating by groups (e.g., uploading code which was partly not written by themselves) or single students (e.g., no contribution to the exercise) 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 one out of 2 written exams has to be positive (>= 50%). 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

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

Association in the course directory

Last modified: Mo 07.09.2020 15:19