- Knowledge and understanding of elementary concepts for the numerical modeling of partial differential differential problems and of the basis for the application of collocation method, finite differences, finite elements and spectral methods and of the boundary element method.
- Ability to apply knowledge and understanding, through mathematical programming in Matlab, to classical elliptic and parabolic linear equations with acquisition of autonomy in the evaluation of algorithmic implementation aspects regarding stability and efficiency.
- Autonomy of judgment in evaluating the approximation algorithms and the obtained results also through discussion with one's peers in possible teamworks.
- Ability to clearly communicate the acquired concepts and to discuss the obtained results.
- Ability to learn the drawbacks and the advantages of models and methods of resolution and to apply them in different working and scientific contexts.