This module handbook serves to describe contents, learning outcome, methods and examination type as well as linking to current dates for courses and module examination in the respective sections.
Module version of SS 2021 (current)
There are historic module descriptions of this module. A module description is valid until replaced by a newer one.
Whether the module’s courses are offered during a specific semester is listed in the section Courses, Learning and Teaching Methods and Literature below.
|available module versions|
|SS 2021||WS 2020/1||WS 2019/20|
MA0008 is a semester module in German language at Bachelor’s level which is offered in winter semester.
This Module is included in the following catalogues within the study programs in physics.
- Further Modules from Other Disciplines
|Total workload||Contact hours||Credits (ECTS)|
|270 h||120 h||9 CP|
Content, Learning Outcome and Preconditions
Courses, Learning and Teaching Methods and Literature
Courses and Schedule
Please keep in mind that course announcements are regularly only completed in the semester before.
|VO||4||Numerical Analysis [MA0008]||Junge, O.||
Mon, 16:15–17:45, virtuell
Fri, 14:00–16:00, virtuell
|UE||2||Numerical Analysis (Exercise Session) [MA0008]||Junge, O. Karrasch, D. Schilling, N.||dates in groups|
|UE||2||Numerical Analysis (Central Exercise Session) [MA0008]||Junge, O. Karrasch, D.||
Tue, 10:15–11:45, virtuell
Learning and Teaching Methods
The module is offered as lectures with accompanying practice sessions. In the lectures, the contents will be presented in a talk with demonstrative examples, as well as through discussion with the students. The lectures should motivate the students to carry out their own analysis of the themes presented and to independently study the relevant literature. Corresponding to each lecture, practice sessions will be offered, in which exercise sheets and solutions will be available. In this way, students can deepen their understanding of the methods and concepts taught in the lectures and independently check their progress.
Ascher/Greif: A First Course in Numerical Methods, SIAM, 2011.
Quarteroni/Saleri/Gervasio: Scientific Computing with MATLAB and Octave, 4th Edition, Springer, 2014.
Description of exams and course work
The exam may be repeated at the end of the semester.