This lecture introduces the fundamentals of design optimization, discussing the selection of the best design within given constraints and objectives. It covers virtual prototypes, Pareto-optimality, multi-objective optimization, and challenges faced in the field. The instructor presents real-world examples and tools like MATLAB and pymoo for optimization.