English

Every autumn semester

The course treats programming in Python and Fortran. The focus is on scientific programming and methods that are useful to doctoral students within technical and scientific subjects.

Numerical computing with Python and NumPy.
Data handling in Python
Visualising data in Python
Introduction to Fortran
Mixed Language Programming

Explain current concepts of scientific computing using Python and Fortran.

Write basic Python programs for solving problems in scientific computing.
Implement basic numerical codes in Python and NumPy.
Visualise data using Python using Matplotlib and ParaView.
Implement basic user interfaces in Python and Qt.
Handle different types of data formats in Python
Combine Python and Fortran code in a single application (mixed language programming)
Create and manage customized Python environments for scientific applications

Compare the advantages and disadvantages of using Python and Fortran in Scientific Computing.
Choose the right tools/language for the implementing scientific applications in Python and Fortran

Lectures

Exercises

Teaching consists of lectures, tutorials and computer exercises.

Written report

Written assignments

Assessment is based on assignments during the course on a final project work.

Failed, pass

Basic skills in MATLAB or Python is required to be able to follow the course.

 

The literature will be announced to participants before course start.

Contact: Jonas Lindemann, jonas.lindemann@lunarc.lu.se

FMA320F

2024-03-19

Maria Sandsten