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This entry is from Summer semester 2018 and might be obsolete. You can find a current equivalent here.

Small Advanced Module Numerical Mathematicss/Optimization
(dt. Kleines Aufbaumodul Numerik/Optimierung)

Level, degree of commitment Advanced 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): Written or oral examination
Examination type: Successful completion of at least 50 percent of the points from the weekly exercises.
Language,
Grading		 German,
The grading is done with 0 to 15 points according to the examination regulations for the degree program B.Sc. Mathematics.
Duration,
frequency		 One semester,
Regularly alternating with other advanced modules
Person in charge of the module's outline All lecturers of Mathematics

Contents

Building on the basic modules Linear Algebra and Analysis, topics from one or more of the following areas are covered:

  • numerical analysis
  • optimisation

Qualification Goals

The students shall

  • Acquire basic knowledge and skills in numerical analysis and/or optimization,
  • learn the development of a mathematical theory in the respective field and its applicability,
  • practice mathematical working methods (development of mathematical intuition and its formal justification, training of the abstract capability, proof techniques),
  • improve their oral communication skills in the exercises by practicing free speech in front of an audience and during discussion.

Prerequisites

Translation is missing. Here is the German original:

Keine. Empfohlen werden die Kompetenzen, die in den Basismodulen vermittelt werden.


Applicability

Module imported from B.Sc. Mathematics.

It can be attended at FB12 in study program(s)

  • B.Sc. Data Science
  • B.Sc. Computer Science
  • B.Sc. Mathematics
  • B.Sc. Business Mathematics
  • M.Sc. Computer Science
  • M.Sc. Mathematics
  • M.Sc. Business Mathematics

When studying B.Sc. Data Science, this module can be attended in the study area Compulsory Elective Modules in Mathematics.


Recommended Reading

  • Depending on topic



Please note:

This page describes a module according to the latest valid module guide in Summer semester 2018. 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:

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.