Point Processes and Random Sets
A.Y. 2026/2027
Learning objectives
To provide the foundations of the theory of point processes and closed random sets, which often form the basis for modeling many real-world phenomena in various applications. Some practical examples of such processes, both in the one-dimensional and multi-dimensional cases, will be discussed in more detail.
The topics will be presented in a way that makes them accessible using only basic knowledge of probability and abstract integration theory.
The topics will be presented in a way that makes them accessible using only basic knowledge of probability and abstract integration theory.
Expected learning outcomes
Basics in the Theory of Point Processes and in Stochastic Geometry. 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.
Lesson period: Second 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
Second semester
MATH-03/B - Probability and Mathematical Statistics - University credits: 6
Practicals: 12 hours
Lessons: 35 hours
Lessons: 35 hours
Professors:
Fuhrman Marco Alessandro, Villa Elena
Professor(s)
Reception:
Monday, 10:30 am - 1:30 pm (upon appointment, possibly suppressed for academic duties)
Department of Mathematics, via Saldini 50, office 1017.