Machine Learning for Fluid Dynamics: Models and Control

This course teaches learners how to apply machine learning techniques to model and control fluid dynamics. The course covers topics such as patterns, complexity, Kolmogorov Energy Cascade, RANS closure models, Sparse Identification of Nonlinear Dynamics (SINDY), and Deep MPC for Fluid Flow Control. The teaching method involves discussing the current applications of machine learning in fluid dynamics. The course is intended for individuals interested in the intersection of machine learning and fluid mechanics.