Machine Learning for Aerospace Engineers

Catalog description

Credits 3. 3 Lecture Hours. This course discusses fundamental concepts and algorithms in machine learning with a focus on aerospace applications. Students will learn to model, analyze and interpret data arising from flight dynamics, aerodynamics and space systems. The course emphasizes both theoretical understanding and practical implementation using aerospace datasets. Prerequisites: Grade of C or better in AERO 321 .