3 Lecture/1 Practical
(MAT.430 / MAT.431)
Department of Discrete Mathematics
Treatment of OR topics which are not covered in the
The topics discussed in this lecture will be taken from the following list
according to the contents of other courses on optimization:
dynamical programming, inventory models, multicriteria optimization, metaheuristics, integer programming and if time permits it also decision analysis.
Previous knowledge expected: Mathematical Optimization, Probability Theory
Beyond the theoretical aspect we will discuss applications from different areas.
The aim is to convey some of the most popular models and solution
approaches on the subareas of operations research mentioned above.
The main sources of literature
There are also some lecture notes in German written by Judith Kloas according to the lecture held by Eranda Dragoti-Çela in the winter term 2011/2012.
The practical assessment will be permanent and based on a score of points collected as follows
P number of exercise examples prepared all along the course,
A overall number of exercise examples which have been available during the course,
B overall sum of points obtained by presenting exercise examples in the class
Grade obtained for the practical according to the overall score:
5 0 <= P < 15
4 15 <= P <= 18
3 18 < P <= 22
2 22 < P <=26
1 26< P
The lecture will be assessed by an oral examination.
The dates of the examinations will be specified in agreement with the students.
There will be up to 3 Dates per term if needed;
They will be announced in TUGonline on time;
The registration for the oral examination should be done via TUGonline.
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Last update: January 2018