The complete title of this lecture series is Introduction to optimization & multidisciplinary design in aeronautics and turbomachinery.

This course intends to provide the basic concepts and tools for single-and multi-objective optimization for applications where different disciplines interact such as fluid dynamics, structural mechanics, acoustics, and conjugate heat transfer. Topics which will be treated in detail include: gradient based and steepest descent methods, methods based on adjoint equation, evolutionary/genetic algorithms, concept of Pareto front, game strategy, fast approximation methods (Responce Surface Method, Radial Basis functions, Artificial Neural Networks, Kriging), robust design. All concepts are illustrated by applications in different domains, including aircraft design, propeller design and turbomachinery.