Advanced Mathematical Statistics
A.Y. 2025/2026
Learning objectives
The main aim of the course is to introduce the modern concepts of multivariate and computational Mathematical Statistics, both from a theoretical and applied point of view, with particular reference to the techniques for Big Data analysis. During the lab activities, the students will be trained to perform a data analysis with advanced software instruments (R and R Spark).
Expected learning outcomes
Basic notions and theorems of Multivariate Mathematical and Computational Statistics.
The student will then be able to apply and broaden his/her knowledge of the subjects in different areas of interest, both in theoretical and applied contexts, and to perform statistical data analyses, both in the multivariate and big data case.
The student will then be able to apply and broaden his/her knowledge of the subjects in different areas of interest, both in theoretical and applied contexts, and to perform statistical data analyses, both in the multivariate and big data case.
Lesson period: First semester
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 semester
MAT/06 - PROBABILITY AND STATISTICS - University credits: 9
Laboratories: 36 hours
Lessons: 42 hours
Lessons: 42 hours
Professors:
Aletti Giacomo, Micheletti Alessandra
Shifts:
Professor(s)
Reception:
on appointment
office 2099