Covers the fundamentals of numerical flow simulation, emphasizing the importance of understanding the methodology and practicing simulation techniques to run full simulations autonomously.
Introduces state-of-the-art methods in optimization and simulation, covering topics like statistical analysis, variance reduction, and simulation projects.
Outlines the Master in Computational Science and Engineering program at EPFL, detailing its structure, projects, and career opportunities for graduates.
