Statistical Theory and Mathematics
A.Y. 2024/2025
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 can be attended as a single course.
Course syllabus and organization
Single session
Responsible
Lesson period
First trimester
Statistical Theory and Mathematics-Module Mathematics
MAT/08 - NUMERICAL ANALYSIS - University credits: 6
Lessons: 40 hours
Professor:
Benfenati Alessandro
Statistical Theory and Mathematics-Module Statistical Theory
SECS-S/01 - STATISTICS - University credits: 6
Lessons: 40 hours
Professor:
Leorato Samantha
Professor(s)
Reception:
Next office hours: Thursday 04 July, 10-13.
Room 32 third floor