Teaching unit: Academic year:

To acquire in-depth knowledge of the foundations of multivariate analysis and learn how to implement the basic algorithms in matrix language. The objective therefore is for students to learn how to identify the problems and implement their solutions independently: * Describe a set of variables, reduce their dimensionality, perform a multivariate visualization and extract the common factors. * Learn the normal multivariate distribution and its properties. Know how to define the basic multivariate statistical tests and apply them when solving the most common multivariate problems. * Learn how to construct discriminant functions among different populations of individuals. Skills to be learned: * Learn how to discern the multivariate nature of problems and the advantages of a multivariate approach in terms of th