Statistical Theory and Mathematics
A.Y. 2025/2026
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 trimester
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
Course currently not available
Statistical Theory and Mathematics-Module Mathematics
MAT/08 - NUMERICAL ANALYSIS - University credits: 6
Lessons: 40 hours
Statistical Theory and Mathematics-Module Statistical Theory
SECS-S/01 - STATISTICS - University credits: 6
Lessons: 40 hours