Main content
Numerical Solution Methods for Differential Equations
(dt. Numerik von Differentialgleichungen)
Level, degree of commitment | Specialization module, compulsory elective module |
Forms of teaching and learning, workload |
Lecture (4 SWS), recitation class (2 SWS), 270 hours (90 h attendance, 180 h private study) |
Credit points, formal requirements |
9 CP Course requirement(s): Successful completion of at least 50 percent of the points from the weekly exercises. Examination type: Written or oral examination (individual examination) |
Language, Grading |
English,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, Jedes zweite Wintersemester |
Person in charge of the module's outline | Prof. Dr. Christian Rieger |
Contents
Supplementary fundamentals to differential equations, methods for ordinary initial and boundary value problems, e.g. also for stiff problems. Standard method for partial differential equations.
Qualification Goals
Students
- Can evaluate numerical methods in terms of applicability and usefulness,
- have gained insight into the discretization of differential equations, including methods for estimating and controlling the inevitable approximation errors,
- know the classification of different problem forms in differential equations and an appropriate choice of methods,
- recognize how strongly the theoretical analysis determines the framework for numerical methods
- understand the importance of functional analytical concepts for numerical problems,
- have deepened mathematical working methods(developing mathematical intuition and its formal justification, abstraction, proof),
- have improved their oral communication skills in exercises by practicing free speech in front of an audience and in 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, Numerical Analysis.
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 LAaG Mathematics, this module can be attended in the study area Advanced Modules.
The module is assigned to Applied Mathematics. Further information on eligibility can be found in the description of the study area.
Recommended Reading
- Deuflhard, P., Bornemann, F.: Numerische Mathematik II, de Gruyter 2002;
- Strehmel, K., Weiner, R.: Numerik gewöhnlicher Differentialgleichungen, Teubner, 1995;
- Hanke-Bourgeois, M.: Grundlagen der Numerischen Mathematik und des Wissenschaftlichen Rechnens, Teubner, 2002.
Please note:
This page describes a module according to the latest valid module guide in Winter semester 2023/24. 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.