Statistics, Finance and Actuarial sciences

Learning goals. Students must acquire the ability of solving inferential problems using both analityc and computational (using the software R) skills. Knowledge and understanding Knowledge and understanding of frequentist methods for: point and interva estimation, testing. Use of the software R. Applying knowledge and understanding. Ability in solving inferential problems/exercises for a wide range of parametric models and to use the software R to study properties of inferential methods. Making judgements. Students acquire ability in making judgements by: - applying inferential methods to different models - comparing alternative methods - using the methods on real data and interpreting the results. Communication skills. Communication skills are acquired by using the specific scientific lexicon/language in written and oral exams. Learning skills. The course provide students with fundamental learning skills necessary to approach more advances classes in Statistics.