Module title/ ID | Mathematische Methoden der Geophysik und Meteorologie I
| MN-GM-MATHMET-I |
Structure | Courses | Credit points | Duration (SWS) | Workload (h) |
| Lecture | 3 | 3 | |
| Tutorial | 3 | 2 | |
| Total | 6 | 5 | |
Description/ content | - Representation of figures in computer arithmetic
- Interpolation and extrapolation
- Searching for roots
- Minimization and maximization
- Integration of functions
- Solution of systems of linear equation
- Solution of eigenvalue and singular value problems
- Solution of ordinary differtential equations
- Solution of integral equations
|
Obligatory literature | - W. H. Press, S. A. Teukolsky, W. T. Vetterling, B. P. Flannery, “Numerical Recipies”, Cambridge University Press
- N. Köckler, „Numerische Algorithmen in Softwaresystemen“, Teubner, 1990
|
Additional literature | - J. Stoer, „Einführung in die Numerische Mathematik I“, Springer Verlag, 1983 (ggf. neuere Auflage)
- J. Stoer, R. Bulirsch, „Einführung in die Numerische Mathematik II“, Springer Verlag, 1978 (ggf. neuere Auflage)
|
Oragnisation/ teaching style | Lecture, tutorials |
Course assessment, assessment mode | This module is a non-compensable obligatory module. It is passed if - lectures and tutorials were attended regularly and successfully (at least 50% of the in the tutorials accessible points have to be gained)
- the test was passed. If the test is not passed there will be the opportunity for a timely re-test (written or oral). If the re-test is not passed it is recommend to retry the course of module with a subsequent second re-test. If the second re-test is failed the module is not passed finally.
The module mark is the mark of the test (or re-test). |
Learning/ qualification targets | - Knowledge of basics of numeric
- Knowledge of the most important numerical algorithms
- Ability to solve general mathematical problems numerically
|
Prerequisites for attending | Passed modules: - Mathematik für Physiker I
- Mathematik für Physiker II
- Datenverarbeitung und Programmieren
|
Frequency of the offer | Every summer semester |
Imparted interdisciplinary competencies and soft skills | - Basic knowledge to use and evaluate numerical algorithms
|
Applicability in other courses of studies | Applicable in all exact natural scientific subjects. |
Accumulation in overall mark | Yes, weighted with the factor 6/180. |
Coordinator | PD Dr. H. Elbern, (Prof. Dr. Shao) |
Retrieved | 2006-08-01 |