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Courses / Modules / SESA6083 Data-Driven Fluid Mechanics

Data-Driven Fluid Mechanics

When you'll study it
Semester 1
CATS points
ECTS points
Level 7
Module lead
Davide Lasagna
Academic year

Module overview

The module will introduce contemporary computational methods for fluid flow analysis, with a specific focus on techniques that use simulation or experimental data. The module will cover aspects of flow stability, model order reduction and pattern identification, applications of control theory to manipulate flow behaviour, as well as data-assimilation techniques for system identification. Through a blend of lectures and hands-on laboratory sessions, the module will provide students with the practical knowledge required to implement and apply these methods, together with a solid understanding of fundamental fluid mechanics and mathematical concepts underpinning their use.