The student must possess the knowledge of probabilty, random variables and statistical inference.
The main objective of the course is to train the student to work in team to address an assigned project. The practical activities of the laboratory is aimed at improving technical and communication skills.
The course aims to provide statistical tools for the modeling and the analysis of multivariate data and space-time data (including functional data). Statistical inference will be applied both to classical statistical models and to models estimated by machine learning and deep learning techniques.
Students will work in team to develop a project related to medical technology/management and to obtain attended results. Meetings with the teacher will address project aims, theoretical background and specific knowledge related to the project activities. Project tutoring will be provided continuously during the entire duration of the project. In the case of remote lessons, changes can be made compared to what is stated in this Syllabus.
Evaluation of the project results, knowledge acquired and skills will be evaluated at the end of each project on the basis of a public presentation by each project team.