IntroductionIn classical mechanics, we study the evolution of a given system in configuration space. The properties of this space are described by Euclidean, projective, Riemannian, pseudo and sub-Riemannian geometries. In Hamiltonian mechanics, we have a phase space and use symplectic, Poisson, and contact geometries. To solve the equations of motion, we also use algebraic, differential, and s...
Description: This course covers theoretical and applied fundamentals of statistical inference. The primary topics include principles of data reduction, point estimation, hypothesis testing, interval estimation and asymptotic methods.Prerequisite:Understand discrete and continuous random variables, transformations and expectations, common families of distributions, multiple random variables, di...