Software Atelier: Partial Differential Equations
People
Course director
Description
The students will learn how to design an object-oriented code incorporating all the necessary components (mesh, discretization schemes, sparse linear algebra, linear solvers). A particular focus will be put on the efficient implementation in MATLAB and C++ exploiting vectorization.
Objectives
The main objective of the course is the implementation of finite element and finite difference methods for the solution of partial differential equations (PDEs).
Teaching mode
In presence
Learning methods
Lectures, laboratories, and homework assignments (including the solution of both analytical and computational problems).
Examination information
Oral exam at the end of the semester
Education
- Master of Science in Computational Science, Lecture, Elective, 1st year
- Master of Science in Computational Science, Lecture, Elective, 2nd year
- PhD programme of the Faculty of Informatics, Lecture, Elective, 1st year (2 ECTS)
