Mohamed Zayed

1. Mathematical tools for simulation: Advanced numerical methods like the finite elements method and the finite differences method. Implement advanced techniques for solving large linear systems (iterative methods, direct methods, ...) Project 1: Using a finite elements technique called the projections method, we implemented a numerical resolution of a Stokes system using Fortran 90 and generated .dat files and post-processed them using Matlab. 2. Supercomputing: Data parallel algorithms, mainly for solving large linear systems but also for image processing algorithms. Practical sessions included using openMP, MPI and CUDA to solve efficiently linear systems and computing speedups on a cluster grid using many cores. Project 2: HPC: The purpose of this project was to use different parallelization techniques (open MP, MPI, CUDA, ...) on an image processing algorithm. We established a benchmark comparing the different execution time and speed-ups of these techniques

The executive MBA is designed for working professionals who want to to acquire a 360° knowledge about the different aspects of business. The course is composed of weekly, use-case oriented, evening classes. Though a general education, it offers an optional thematic. For me, I chose big data and quantitative techniques. A thesis is to be published at the end of the curriculum.