OVERVIEW

An internship is mandatory and takes place at the end of the three-year course. Curricular internships allow the student to verify and complete the theoretical and methodological lessons learned during your studies, through concrete contact with the world of work and with specialists in the sector.  It strongly characterizes the SMID training.

It corresponds to 10 ETCS, to at least 250 hours of work and should take at least 2 months. It can only be started after the student has acquired all the ECTS of the taught moduls (excluding the final exam) except for a maximum of 10 ECTS.

It is carried out under the supervisione of a teacher or an external person appointed by the Course Council (teaching tutor) and a company tutor.

The final project is a teaching activity distinct from the internship. However, it can be internship-based.

AIMS AND CONTENT

LEARNING OUTCOMES

Provide work experience to students for developing and tuning the skills in modelling and statistical/mathematical analysis acquired during the course of studies, and for incraesing their degree of autonomy and ability to interact in heterogeneous working groups.

AIMS AND LEARNING OUTCOMES

The Mathematical Statistics and Computer Data Processing degree program is characterized by the fact that it focuses from the outset on the applied aspects of the subject, particularly in the field of mathematical statistics and probability theory. This is done in order to provide graduates with the skills and professionalism required in the working world at the end of the three-year program.

The internship helps to train a graduate who knows how to apply theories and techniques to collect, analyze and transform data into information, define models to interpret data and the phenomena that the data represent, and find solutions that can be used in the production of goods and services and in scientific research.

The internship aims to consolidate and develop both the ability to model and analyze phenomena, as well as autonomy and the ability to interact in heterogeneous groups. A final written and oral report also allows developing and assessing the student's presentation and synthesis skills.

TEACHERS AND EXAM BOARD

Exam Board

EVA RICCOMAGNO (President)

CRISTINA CAMPI

VINCENZO FONTANA (President Substitute)

FRANCESCO PORRO (President Substitute)

SARA SOMMARIVA (President Substitute)

EXAMS

EXAM DESCRIPTION

The internship is assessed by an ad hoc exam committee with a positive or negative result, without a grade being awarded. A positive evaluation means that one point (out of 110) is added to the final grade.

The student must prepare a WELL written report of maximum 8 pages, including graphs and tables, and give an oral presentation explaining the work carried out with particular reference to the statistical/mathematical/IT method applied and highlighting any new knowledge acquired.

• The written report must be sent at least 5 days before the oral presentation to the exam Committee, which in this academic year is composed of Professors Porro, Riccomagno and Sommariva.
• The exposé must last between 15 and 20 minutes. 
• The deadline for the exposé is at least 20 days before the laurea exam, is agreed with the committee and is normally indicated on https://www.dima.unige.it/SMID/news24-25.shtml.

The evaluation will take into account the report of the company's tutor (in written form if he/she cannot be present at the presentation).

ASSESSMENT METHODS

The internship activity allows us to evaluate the modelling and analytical skills acquired by the student throughout the entire SMID program, as well as the degree of autonomy and the ability to interact in not homogeneous groups.

FURTHER INFORMATION

Students who have valid certification of physical or learning disabilities on file with the University and who wish to discuss possible accommodations or other circumstances regarding lectures, coursework and exams, should speak both with the instructor and with Professor Sergio Di Domizio (sergio.didomizio@unige.it), the Department’s disability liaison.