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This entry is from Winter semester 2019/20 and might be obsolete. You can find a current equivalent here.
Small Specialization Module Numerical Mathematics/Optimization
(dt. Kleines Vertiefungsmodul Numerik/Optimierung)
Level, degree of commitment | Specialization module, compulsory elective module |
Forms of teaching and learning, workload |
Lecture mit recitation classen (insgesamt 4 SWS), 180 hours (60 h attendance, 120 h private study) |
Credit points, formal requirements |
6 CP Course requirement(s): Successful completion of at least 50 percent of the points from the weekly exercises. Examination type: Written or oral examination |
Language, Grading |
German,The grading is done with 0 to 15 points according to the examination regulations for the degree program M.Sc. Mathematics. |
Duration, frequency |
One semester, irregular |
Person in charge of the module's outline | All lecturers of Mathematics |
Contents
Continuation of the contents of an intermediate module, exemplary treatment of current results under inclusion of recent research literature.
The topics come from one of the following areas:
- numerical analysis
- optimisation
Qualification Goals
Unchecked automatic translation:
The students shall
- be introduced to current research results,
- learn how to deal with research literature,
- Gain insight into the development of new mathematical results,
- deepen their mathematical knowledge in a specific field,
- Acquire the competence to independently work with current scientific articles from national and international journals,
- practice mathematical working methods (development of mathematical intuition and its formal justification, training of the ability to abstract, proof techniques),
- improve their oral communication skills in the exercises by practicing free speech in front of an audience and during discussion.
Prerequisites
None. The competences taught in the following modules are recommended: either Foundations of Mathematics and Linear Algebra I and Linear Algebra II or Basic Linear Algebra, either Analysis I and Analysis II or Basic Real Analysis. In addition, the competences that are taught in the intermediate modules (depending on the topic) are recommended.
Applicability
Module imported from M.Sc. Mathematics.
It can be attended at FB12 in study program(s)
- B.Sc. Mathematics
- B.Sc. Business Mathematics
- M.Sc. Data Science
- M.Sc. Computer Science
- M.Sc. Mathematics
- M.Sc. Business Mathematics
- LAaG Mathematics
When studying M.Sc. Data Science, this module can be attended in the study area Advanced and Specialization Modules in Mathematics.
Die Wahlmöglichkeit des Moduls ist dadurch beschränkt, dass es dem Schwerpunkt Scientific Computing zugeordnet ist.
Recommended Reading
- Depending on topic
Please note:
This page describes a module according to the latest valid module guide in Winter semester 2019/20. Most rules valid for a module are not covered by the examination regulations and can therefore be updated on a semesterly basis. The following versions are available in the online module guide:
- Winter 2016/17
- Summer 2018
- Winter 2018/19
- Winter 2019/20
- Winter 2020/21
- Summer 2021
- Winter 2021/22
- Winter 2022/23
- Winter 2023/24
The module guide contains all modules, independent of the current event offer. Please compare the current course catalogue in Marvin.
The information in this online module guide was created automatically. Legally binding is only the information in the examination regulations (Prüfungsordnung). If you notice any discrepancies or errors, we would be grateful for any advice.