Introduction to scientific visualization

Situated at the interface between scientific computing and applied mathematics, scientific visualization has become an essential tool for communicating, understanding and analyzing results from large volumes of data.

The aim of this course is to present the issues, principles and software solutions involved in scientific visualization. Various concepts will be covered, such as data formats, visualization pipelines, information extraction algorithms and topological analysis.

This course covers the understanding and use of visualization libraries, as well as the development of a tool enabling students to create their own 3D visualization software. Data from 3D numerical simulations will be used in the TDs, such as modeling the impact of an asteroid in the ocean, or the generation of turbulence in a moving fluid. Technologies used will include Python, VTK and Paraview.