Probability I Probability II Statistical Inference Methods I Statistical Inference Methods II Linear Algebra Calculus I Calculus II Advanced Mathematics Programming I Programming II

1. Capacity for identifying problems associated with statistical data in several variables. 2. Acquire skills in multivariate data description. 3. Know the properties of multivariate distributions. 4. Capacity for making hypothesis testing on multivariate populations. 5. Know several types of statistical distances. 6. Acquire skills in data representation and dimension reduction techniques. 7. Acquire skills in clustering and classification techniques. 8. Handle statistical software for multivariate analysis. 1. Aptitude to understand a real problem and to analyze it as a statistical problem. 2. Modeling and solving problems. 3. Capacity of analysis and synthesis. 4. Oral and written skills. 5. Aptitude to work in a group.

1. Introduction 2. Multivariate data 3. Multivariate Normal distribution 4. Principal component analysis 5. Multivariate analysis of variance 6. Distances and multidimensional scaling 7. Cluster analysis 8. Discriminant analysis

Competences will be acquired by students from: 1. Theory classes: one per week (14 sessions) 2. Practical classes with laptop: one per week (14 sessions) Former activities will be devoted to exercises, problems, data examples, and case studies. Teaching will make intensive use of the resources available in Aula Global and Aula Vrtual.