====== Computer sciences & Numerical methods ======
The course provides basic knowledge on linear algebra, numerical methods for ordinary/partial differential equations, integration, Fourier analysis, etc. The course includes an important practical component that allows the learning of scientific programming languages (python).

On-line ressources:

[[http://link.springer.com/openurl?genre=book&isbn=978-1-4471-6642-9| Python programming fundamentals - K.D. Lee, Springer 2nd Edition, 2014]]

[[http://link.springer.com/openurl?genre=book&isbn=978-3-030-20290-3|A beginners Guide for python 3 programming - J. Hunt, Springer 1st Edition, 2019]]

[[http://link.springer.com/openurl?genre=book&isbn=978-3-030-25943-3|Advanced Guide for python 3 programming - J. Hunt, Springer 1st Edition, 2019]]

[[http://link.springer.com/openurl?genre=book&isbn=978-1-4614-3618-8|Ordinary differential equations - W.A. Adkins et al, Springer, 2012]]