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Numerical Analysis

Numerical Solution of PDEs Using the Finite Element Method

Advanced course dedicated to the Numerical Solution of Partial Differential Equations through the deal.II Finite Element Library.


Advanced Programming

The course aims to provide advanced knowledge of both theoretical and practical programming in C++11 and Python3, with particular regard to the principles of object-oriented programming and best practices of software development.

Due to covid-19 containement rules, this year, videos with pre-recorded lectures will be uploaded weekly, starting from the week of October 5, 2020.

Theory and practice of Finite Element Methods

This is a shared course between the SISSA PhD track
on Mathematical Analysis, Modeling, and Applications
( and the Master in High Performance Computing
( It is a course that follows two parallel lines:
theory of finite element methods (graduate students level, ~20 hours) and
practice of finite element methods (mhpc students levels, ~20 hours).


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