This lecture introduces the concept of optimization on manifolds, focusing on the unit sphere. It covers the meaning of smoothness, tools needed to solve optimization problems, and the notion of gradient. The instructor discusses advanced optimization algorithms using Hessians, Riemannian connections, and trust-region methods.