Statistical Theory and Mathematics
A.Y. 2026/2027
Learning objectives
The purpose of the course is that students learn the main mathematical, statistical and computational tools needed to approach a data science problem. The course serves mostly to refresh students' knowledge, and to ensure that all students have a common mathematical and statistical background.
Expected learning outcomes
At the end of the course, students will be able to formalize real world problems in a mathematical way and to implement the appropriate statistical inference methods.
Lesson period: First four month period
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
Single session
Responsible
Lesson period
First four month period
Modules or teaching units
Mathematics
MATH-05/A - Numerical Analysis - University credits: 6
Lessons: 40 hours
Professor:
Naldi Giovanni
Statistical Theory
STAT-01/A - Statistics - University credits: 6
Lessons: 40 hours
Professor:
Leorato Samantha
Professor(s)
Reception:
Monday 14:30-16 or Thursday 9-10:30 (online). Email is required
Room 32 third floor