Probability, Statistics and Computer Science

The aim of this course is to provide the students with the basic instruments of data analysis, univariate statistics and informatics needed to store, manage and statistically analyse real data. The course is divided into 2 modules
Part 1: Descriptive statistics; introduction to probability and random variables; inferential Statistics; computer lab case studies.
Part 2: Introduction to Informatics; hardware and software; elements of scientific programming.

At the end of the course the student will have acquired the basic knowledge related to the descriptive statisitca, the probability, the inferential statisitca, the computer science and the scientific programming. The student will acquire skills that will allow him to independently perform simple data analysis, formalize a real problem in mathematical or probabilistic terms, and develop simple programming codes.