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Introduction to Scientific Programming

Module IN8008

This Module is offered by TUM Department of Informatics.

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.

available module versions
SS 2012WS 2011/2

Basic Information

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 workloadContact hoursCredits (ECTS)
120 h 60 h 4 CP

Content, Learning Outcome and Preconditions


Elements of programming (elementary and structured data types, expressions and statements, techniques for structuring programs)
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.

Learning Outcome

After the successful participation at the module, students are able to remember and describe basic techniques for the computer-based solution of problems from science and engineering.
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).


no info

Courses, Learning and Teaching Methods and Literature

Courses and Schedule

Learning and Teaching Methods

This module comprises lectures and accompanying tutorials. The contents of the lectures will be taught by talks and presentations. Students will be encouraged to study literature and to get involved with the topics in depth. In the tutorials, concrete problems will be solved - partially in teamwork - and selected examples will be discussed.


Slides, whiteboard, exercise sheets


- H. P. Langtangen: Introduction to Computer Programming ? A Python-Based Approach for Computational Science
- David M. Beasley: Python - Essential Reference

Module Exam

Description of exams and course work

The examination consists of a written exam of 60 minutes in which students show that they are able to understand and implement algorithms of Scientific Computing. Tasks to realize short implementations test their programming capabilities. Questions on code snippets assure that the participants are able to interprete given examples with respect to runtime and storage requirements.

Exam Repetition

The exam may be repeated at the end of the semester.

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