Explores parallel computation in CFD, emphasizing its implementation in Fluent and visualization techniques for scientific data interpretation.
Covers fluid kinematics, Eulerian and Lagrangian descriptions, total derivative, rotation, vorticity, and Laplacian in fluid dynamics.
Introduces numerical optimization with Scipy, covering zero finding, problem dimensionality, derivatives, and advanced visualization techniques.
Covers the basics of fluid mechanics, including fluid properties, pressure, viscosity, and fluid behavior at rest and in motion.
