Studying at the University of Verona

Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.

This information is intended exclusively for students already enrolled in this course.
If you are a new student interested in enrolling, you can find information about the course of study on the course page:

Laurea magistrale in Mathematics - Enrollment from 2025/2026

The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University.
Please select your Study Plan based on your enrollment year.

1° Year

ModulesCreditsTAFSSD
One course chosen from the following
One course chosen from the following
One course chosen from the following

2° Year  activated in the A.Y. 2013/2014

ModulesCreditsTAFSSD
Prova finale
32
E
-
ModulesCreditsTAFSSD
One course chosen from the following
One course chosen from the following
One course chosen from the following
activated in the A.Y. 2013/2014
ModulesCreditsTAFSSD
Prova finale
32
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°
One course chosen from the following
6
C
MAT/05
Between the years: 1°- 2°
Other activities
4
F
-
Between the years: 1°- 2°

Legend | Type of training activity (TTA)

TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.




S Placements in companies, public or private institutions and professional associations

Teaching code

4S001113

Credits

6

Also offered in courses:

Language

Italian

Scientific Disciplinary Sector (SSD)

MAT/06 - PROBABILITY AND STATISTICS

Period

II semestre, I semestre

Learning outcomes

Scope of this course is to introduce the theory of Stochastic Differential Equations in finite dimension and to give the basic tools for their numerical solution.

The course is preparatory to Mathematical finance.

Program

Programme
a) Brownian Motion, Stochastic Integral, Ito formula, Strong and weak solutions to Stochastic Differential Equations.
b) Numerical methods for the numerical solutions of Stochastis Differential Equations: Euler method, Milstein correction and applications.

Prerequisites : a standard course in Probability Theory
and the knowledge of the basic elements of measure theory and integration.

Examination Methods

Oral

Students with disabilities or specific learning disorders (SLD), who intend to request the adaptation of the exam, must follow the instructions given HERE