Outlines the Master in Computational Science and Engineering program at EPFL, detailing its structure, projects, and career opportunities for graduates.
Explores different fluid flow instabilities such as Rayleigh-Taylor and Kelvin-Helmholtz, discussing transient and spatial growth, dispersion relation, and shear layer instability.
Covers optimization techniques in machine learning, focusing on convexity, algorithms, and their applications in ensuring efficient convergence to global minima.