260098 PUE Scientific Computing (2020S)

The topics of the corresponding lecture "Scientific Computing" are applied in exercises. The exercises consist of creating computer programs for the numerical solution of problems in the fields of numerical mathematics (systems of linear equations, error and convergence analysis, regression analysis, solution of nonlinear equations, linear eigenvalue problems, interpolation, numerical differentiation, numerical integration, ordinary differential equations, partial differential equations).

The programming environment is Python.

There are a total of 13 sessions. You can find more detailed information on the individual dates on Moodle. Students are asked to familiarize themselves with the Python tutorial before the first class (March 10), and must already have Python installed on their own laptop. This laptop is required for all exercise classes!

UNEXCUSED ABSENCE from the FIRST SESSION (March 10) will lead to immediate and automatic deregistration!

The course is organized as follows (detailed dates in Moodle):
- In the first class students revise the basics of Python.
- The second class, and every second class after that, will be a hands-on session where students work on the assigned exercises and can ask questions to teaching assistant and tutor.
- The third class, and every second class after that, will be an assessment class (see below).