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.

Academic calendar

The academic calendar shows the deadlines and scheduled events that are relevant to students, teaching and technical-administrative staff of the University. Public holidays and University closures are also indicated. The academic year normally begins on 1 October each year and ends on 30 September of the following year.

Academic calendar

Course calendar

The Academic Calendar sets out the degree programme lecture and exam timetables, as well as the relevant university closure dates..

Definition of lesson periods
Period From To
Semester 1 Oct 2, 2023 Jan 26, 2024
Semester 2 Mar 4, 2024 Jun 14, 2024
Exam sessions
Session From To
Winter exam session Jan 29, 2024 Mar 1, 2024
Summer exam session Jun 17, 2024 Jul 31, 2024
Autumn exam session Sep 2, 2024 Sep 30, 2024
Degree sessions
Session From To
Summer graduation session Jul 22, 2024 Jul 22, 2024
Autumn graduation session Oct 22, 2024 Oct 22, 2024
Winter graduation session Mar 19, 2025 Mar 19, 2025
Holidays
Period From To
Festa di Ognissanti Nov 1, 2023 Nov 1, 2023
Festa dell'Immacolata Dec 8, 2023 Dec 8, 2023
Vacanze di Natale Dec 24, 2023 Jan 7, 2024
Festività pasquali Mar 29, 2024 Apr 1, 2024
Ponte della Festa della Liberazione Apr 25, 2024 Apr 26, 2024
Festa del Lavoro May 1, 2024 May 1, 2024
Festività del Santo Patrono: San Zeno May 21, 2024 May 21, 2024
Festa della Repubblica Jun 2, 2024 Jun 2, 2024
Vacanze estive Aug 12, 2024 Aug 17, 2024

Exam calendar

Exam dates and rounds are managed by the relevant Science and Engineering Teaching and Student Services Unit.
To view all the exam sessions available, please use the Exam dashboard on ESSE3.
If you forgot your login details or have problems logging in, please contact the relevant IT HelpDesk, or check the login details recovery web page.

Exam calendar

Should you have any doubts or questions, please check the Enrollment FAQs

Academic staff

A B C D F G L M O P R S T Z

Albi Giacomo

symbol email giacomo.albi@univr.it symbol phone-number +39 045 802 7913

Angeleri Lidia

symbol email lidia.angeleri@univr.it symbol phone-number 045 802 7911

Baldo Sisto

symbol email sisto.baldo@univr.it symbol phone-number 0458027935

Calanca Andrea

symbol email andrea.calanca@univr.it symbol phone-number +39 045 802 7847

Caliari Marco

symbol email marco.caliari@univr.it symbol phone-number +39 045 802 7904

Castellini Alberto

symbol email alberto.castellini@univr.it symbol phone-number +39 045 802 7908

Combi Carlo

symbol email carlo.combi@univr.it symbol phone-number +390458027985

Daffara Claudia

symbol email claudia.daffara@univr.it symbol phone-number +39 045 802 7942

Dai Pra Paolo

symbol email paolo.daipra@univr.it symbol phone-number +39 0458027093

Daldosso Nicola

symbol email nicola.daldosso@univr.it symbol phone-number +39 045 8027076 - 7828 (laboratorio)

Dalla Preda Mila

symbol email mila.dallapreda@univr.it

Di Persio Luca

symbol email luca.dipersio@univr.it symbol phone-number +39 045 802 7968

Fellin Giulio

symbol email giulio.fellin@univr.it

Fummi Franco

symbol email franco.fummi@univr.it symbol phone-number 045 802 7994

Gregorio Enrico

symbol email Enrico.Gregorio@univr.it symbol phone-number 045 802 7937

Laking Rosanna Davison

symbol email rosanna.laking@univr.it

Mandini Alessia

symbol email alessia.mandini@univr.it

Mantese Francesca

symbol email francesca.mantese@univr.it

Marigonda Antonio

symbol email antonio.marigonda@univr.it symbol phone-number +39 045 802 7809

Monti Francesca

symbol email francesca.monti@univr.it symbol phone-number 045 802 7910

Oliver Bonafoux Ramon

symbol email ramon.oliverbonafoux@univr.it

Orlandi Giandomenico

symbol email giandomenico.orlandi at univr.it symbol phone-number 045 802 7986

Pravadelli Graziano

symbol email graziano.pravadelli@univr.it symbol phone-number +39 045 802 7081

Rizzi Romeo

symbol email romeo.rizzi@univr.it symbol phone-number +39 045 8027088

Sansonetto Nicola

symbol email nicola.sansonetto@univr.it symbol phone-number 045-8027976

Schuster Peter Michael

symbol email peter.schuster@univr.it symbol phone-number +39 045 802 7029

Solitro Ugo

symbol email ugo.solitro@univr.it symbol phone-number +39 045 802 7977

Tomazzoli Claudio

symbol email claudio.tomazzoli@univr.it

Zivcovich Franco

symbol email franco.zivcovich@univr.it

Zorzi Margherita

symbol email margherita.zorzi@univr.it symbol phone-number +39 045 802 7908

Study Plan

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.

CURRICULUM TIPO:

1° Year 

ModulesCreditsTAFSSD

2° Year   It will be activated in the A.Y. 2024/2025

ModulesCreditsTAFSSD
6
B
MAT/05
Final exam
32
E
-
It will be activated in the A.Y. 2024/2025
ModulesCreditsTAFSSD
6
B
MAT/05
Final exam
32
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°1 module among the following
Between the years: 1°- 2°1 module between the following (a.a. 2023/24 Homological Algebra not activated - a.a. 2024/25 Computational Algebra not activated)
Between the years: 1°- 2°
Between the years: 1°- 2°
Further activities
4
F
-

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

4S008268

Coordinator

Luca Di Persio

Credits

6

Language

English en

Scientific Disciplinary Sector (SSD)

MAT/06 - PROBABILITY AND STATISTICS

Period

Semester 2 dal Mar 4, 2024 al Jun 14, 2024.

Courses Single

Authorized

Learning objectives

This course will provide an introduction to the theory of Stochastic Differential Equations (SDEs), mainly based on the Brownian motion type of noise. The purpose of this course is to introduce and analyse probability models that capture the stochastic features of the system under study to predict the short and long term effects that this randomness will have on the systems under consideration. The study of probability models for continuous-time stochastic processes involves a broad range of mathematical and computational tools. This course will strike a balance between the mathematics and the applications. The main applications will be mathematical finance, biology and populations evolution, also with respect to their descriptions in terms of the associated SDEs. Topics include: construction of Brownian motion; martingales in continuous time; stochastic integral; Ito calculus; stochastic differential equations; Girsanov theorem; martingale representation; the Feynman-Kac formula and Lévy processes.

Prerequisites and basic notions

Basic tools of probability calculus, eg: definition of discrete / continuous random variables,, central limit theorem, discrete / continuous time Markov chains.

Program

* Probability essential recalls
* SP: definitions/main properties recall ; Martingales ; Option Sampling Theorem ; Quadratic Variation ;
* Stochastic processes at discrete time: recalls and emphasis on random walk (starting from the binomial model, also in more than 1 dimension);
* Different constructions of the Brownian motion: Kolmogorov Consistency Theorem / Kolmogorov-
Cénstor Th.eorem;
* Properties of the Brownian motion
* Derivation/construction of the Stochastic Integral(s) notion(s)
* Ito-Doeoblin rule: Levy's Criteria / Martingale Representation
* Stratonovich approach / Ito representation Theorem (applications/examples)
* Markov processes and relation(s) with the Brownian motion sp [further Bm's properties]
* Girsanov formula / Cameron-Martin (Girsanov) Theorem and Exponential Martingales
* Construction and rigorous derivation of Stochastic Differential Equations
* Strong solutions / Gronwall Lemma / Weak solutions (for SDEs)
* Diffusions / Semi-group approach / Markov property(ies)
* Dynkin's formula / Kolmogorov equation(s) / Feynman-Kac theorem
* Interplay between PDEs and SPDEs (via F-K theorem)
* SDEs application w.r.t. the Financial framework

Bibliography

Visualizza la bibliografia con Leganto, strumento che il Sistema Bibliotecario mette a disposizione per recuperare i testi in programma d'esame in modo semplice e innovativo.

Didactic methods

Lectures with sharing of slides, lecture notes, specific bibliographic references for particular theoretical insights.

Learning assessment procedures

Oral exam with written exercise:
the exam is based on open questions and/or on the presentation of a project agreed with the course professor and or on the resolution of written exercises to be solved during the test itself. Questions, open-ended and exercises, aim at verify the knowledge about arguments developed within the course, the solution of related concrete problems as well as to verify the acquired acquaintance using stochastic analysis tools.

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

Evaluation criteria

Evaluation of the understanding and ability to use of the main tools of stochastic analysis, with emphasis on their rigorous definition / analytical derivation.

Criteria for the composition of the final grade

The final grade is the result of the evaluation of the final oral exam, with the possible inclusion of ongoing assessments relating to projects (optional) carried out by the student.

Exam language

english

Type D and Type F activities

Type D learning activities are the student's choice, type F activities are additional knowledge useful for job placement (internships, transversal skills, project works, etc.). According to the Teaching Regulations of the Course, some activities can be chosen and entered independently in the booklet, others must be approved by a special committee to verify their consistency with the study plan. Type D or F learning activities can be covered by the following activities.

1. Modules taught at the University of Verona

Include the modules listed below and/or in the Course Catalogue (which can also be filtered by language of delivery via Advanced Search).

Booklet entry mode: if the teaching is included among those listed below, the student can enter it independently during the period in which the curriculum is open; otherwise, the student must make a request to the Secretariat, sending the form to carriere.scienze@ateneo.univr.it during the period indicated.

2. CLA certificate or language equivalency

In addition to those required by the curriculum/study plan, the following are recognized for those matriculated from A.Y. 2021/2022:

  • English language: 3 CFUs are recognized for each level of proficiency above that required by the course of study (if not already recognized in the previous course of study).
  • Other languages and Italian for foreigners: 3 CFUs are recognized for each proficiency level starting from A2 (if not already recognized in the previous study cycle).

These CFUs will be recognized, up to a maximum of 6 CFUs in total, of type F if the study plan allows it, or of type D. Additional elective credits for language knowledge may be recognized only if consistent with the student's educational project and if adequately justified.

Those enrolled until A.Y. 2020/2021 should consult the information found here.

Method of inclusion in the booklet: request the certificate or equivalency from CLA and send it to the Student Secretariat - Careers for the inclusion of the exam in the career, by email: carriere.scienze@ateneo.univr.it

3. Transversal skills

Discover the training paths promoted by the University's TALC - Teaching and learning center intended for students regularly enrolled in the academic year of course delivery https://talc.univr.it/it/competenze-trasversali

Mode of inclusion in the booklet: the teaching is not expected to be included in the curriculum. Only upon obtaining the Open Badge will the booklet CFUs be automatically validated. The registration of CFUs in career is not instantaneous, but there will be some technical time to wait.  

4. CONTAMINATION LAB 

The Contamination Lab Verona (CLab Verona) is an experiential course with modules on innovation and enterprise culture that offers the opportunity to work in teams with students from all areas to solve challenges set by companies and organisations.  

Upon completion of a CLab, students will be entitled to receive 6 CFU (D- or F-type credits).  

Find out more:  https://www.univr.it/clabverona 

PLEASE NOTE: In order to be admitted to any teaching activities, including those of your choice, you must be enrolled in the academic year in which the activities in question are offered. Students who are about to graduate in the December and April sessions are therefore advised NOT to undertake extracurricular activities in the new academic year in which they are not enrolled, as these graduation sessions are valid for students enrolled in the previous academic year. Therefore, students who undertake an activity in an academic year in which they are not enrolled will not be granted CFU credits.  

5. Internship/internship period

In addition to the CFUs stipulated in the curriculum/study plan (check carefully what is indicated on the Teaching Regulations): here information on how to activate the internship. 

Check in the regulations which activities can be Type D and which can be Type F.

Modules and other activities that can be entered independently in the booklet

Career prospects


Module/Programme news

News for students

There you will find information, resources and services useful during your time at the University (Student’s exam record, your study plan on ESSE3, Distance Learning courses, university email account, office forms, administrative procedures, etc.). You can log into MyUnivr with your GIA login details: only in this way will you be able to receive notification of all the notices from your teachers and your secretariat via email and soon also via the Univr app.

Double degree

The University of Verona, through a network of agreements with foreign universities, offers international courses that enable students to gain a Double/Joint degree at the time of graduation. Indeed, students enrolled in a Double/Joint degree programme will be able to obtain both the degree of the University of Verona and the degree issued by the Partner University abroad - where they are expected to attend part of the programme -, in the time it normally takes to gain a common Master’s degree. The institutions concerned shall ensure that both degrees are recognised in the two countries.

Places on these programmes are limited, and admissions and any applicable grants are subject to applicants being selected in a specific Call for applications.

It's online Erasmus + - double joint degree a.y. 2024/2025

The latest Call for applications for Double/Joint Degrees at the University of Verona is available now!

Documents


Alternative learning activities

In order to make the study path more flexible, it is possible to request the substitution of some modules with others of the same course of study in Mathematics at the University of Verona (if the educational objectives of the modules to be substituted have already been achieved in the previous career), or with others of the course of study in Mathematics at the University of Trento.

Documents


Attendance

As stated in the Teaching Regulations for the A.Y. 2022/2023, except for specific practical or lab activities, attendance is not mandatory. Regarding these activities, please see the web page of each module for information on the number of hours that must be attended on-site.
 


Career management


Student login and resources


Graduation

Deadlines and administrative fulfilments

For deadlines, administrative fulfilments and notices on graduation sessions, please refer to the Graduation Sessions - Science and Engineering service.

Need to activate a thesis internship

For thesis-related internships, it is not always necessary to activate an internship through the Internship Office. For further information, please consult the dedicated document, which can be found in the 'Documents' section of the Internships and work orientation - Science e Engineering service.

Final examination regulations

Upon completion of the Master’s degree dissertation students are awarded 32 CFU. The final examination consists of a written dissertation on a specific topic agreed with a supervising professor and presented to a commission (Dissertation Committee).

The dissertation can be high-level theoretical or experimental (in the latter case, it may focus on either basic or applied research), it can deal with a theoretical topic or propose the resolution of a specific problem, or description of a work project, and may be carried out at universities, research institutions, schools, laboratories and companies in the framework of internships, traineeships, study stays in Italy and abroad. The dissertation must be original and written by the student under the guidance of a Supervisor. At the request of the student, the dissertation may be written and presented in Italian.

Professors belonging to the Mathematics Teaching Committee, the Department of Computer Science, and any associated departments may be appointed as Supervisors, as well as any professors from the University of Verona whose area of interest (SSD - Scientific-disciplinary Sector) is included in the teaching regulations of the degree programme.

Students may take the final exam only if meeting all requirements set by the School of Sciences and Engineering.

The Master's degree in Mathematics is obtained by successfully passing the final examination and thus earning the 120 CFU included in the study plan.

The material submitted by the student for the final examination will be examined by the Dissertation Committee, which comprises three professors, possibly including the Supervisor, and appointed by the President of the Teaching Committee. The final examination will be assessed based on the following criteria: the student’s performance during the entire study programme, the knowledge acquired during the dissertation work, their understanding of the topic and autonomy of judgment, their ability to apply such knowledge, and communicate effectively and fully all the outcomes of the work and the main results obtained.

The final examination and the degree ceremony will be carried out, in one of the four graduation sessions throughout the academic year, by the Final Examination Committee appointed by the President of the Teaching Committee, and made up of a president and at least four members chosen from among the professors of the University.

For further information, please refer to the Final examination regulations.

Documents

Title Info File
File pdf 1. Come scrivere una tesi pdf, it, 31 KB, 02/11/22
File pdf 2. How to write a thesis pdf, en, 31 KB, 02/11/22
File pdf 5. Regolamento tesi pdf, it, 171 KB, 20/03/24

List of theses and work experience proposals

theses proposals Research area
Controllo di sistemi multiagente Calculus of variations and optimal control; optimization - Hamilton-Jacobi theories, including dynamic programming
Controllo di sistemi multiagente Calculus of variations and optimal control; optimization - Manifolds
Controllo di sistemi multiagente Calculus of variations and optimal control; optimization - Optimality conditions
Formule di rappresentazione per gradienti generalizzati Mathematics - Analysis
Formule di rappresentazione per gradienti generalizzati Mathematics - Mathematics
Mathematics Bachelor and Master thesis titles Various topics
Stage Research area
Internship proposals for students in mathematics Various topics

Erasmus+ and other experiences abroad