Introduction to Scientific Programming
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 2012 (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 2012||WS 2011/2|
IN8008 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.
- Mandatory Modules in Bachelor Programme Physics (3rd Semester)
- Further Modules from Other Disciplines
|Total workload||Contact hours||Credits (ECTS)|
|120 h||60 h||4 CP|
Content, Learning Outcome and Preconditions
tools of scientific computing, especially for visualization of the results.
Examples that will demonstrate the use of these techniques and that introduce typical examples for methods in the following areas: solving equations, numerical quadrature, ordinary and partial differential equations.
Furthermore, they are able to understand examples of algorithms from scientific computing, to implement them in a programming language, to apply them to exemplary problems, and to assess their properties (particularly with respect to computing time, memory requirements, and - where applicable - to the achieved accuracy).
Courses, Learning and Teaching Methods and Literature
Courses and Schedule
|VO||2||Introduction to Scientific Programming (IN8008)||Gallard, J. Jovanovic Buha, I. Menhorn, F. Neckel, T.||
Mon, 10:00–12:00, virtuell
|UE||2||Practical Introduction to Scientific Computing||
Jovanovic Buha, I.
Responsible/Coordination: Neckel, T.
Assistants: Berger, D.Chryssos, L.Kager, J.Rogge, C.
|dates in groups||
Learning and Teaching Methods
- David M. Beasley: Python - Essential Reference
Description of exams and course work
The exam may be repeated at the end of the semester.