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
Periodo generico Oct 1, 2022 May 31, 2023
Primo semestre (lauree magistrali) Oct 3, 2022 Dec 23, 2022
Secondo semestre (lauree magistrali) Feb 20, 2023 May 19, 2023
Exam sessions
Session From To
Sessione invernale (lauree magistrali) Jan 9, 2023 Feb 17, 2023
Sessione estiva (lauree magistrali) May 22, 2023 Jul 7, 2023
Sessione autunnale (lauree magistrali) Aug 28, 2023 Sep 22, 2023
Degree sessions
Session From To
Sessione autunnale Dec 5, 2022 Dec 7, 2022
Sessione invernale Apr 4, 2023 Apr 6, 2023
Sessione estiva Sep 5, 2023 Sep 7, 2023

Exam calendar

Exam dates and rounds are managed by the relevant Economics 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

B C D F G M P

Bottiglia Roberto

symbol email roberto.bottiglia@univr.it symbol phone-number 045 802 8224

Bracco Emanuele

symbol email emanuele.bracco@univr.it symbol phone-number 045 802 8293

Bucciol Alessandro

symbol email alessandro.bucciol@univr.it symbol phone-number 045 802 8278

Carluccio Emanuele Maria

symbol email emanuelemaria.carluccio@univr.it symbol phone-number 045 802 8487

Chiaramonte Laura

symbol email laura.chiaramonte@univr.it

D'Alberto Riccardo

symbol email riccardo.dalberto@univr.it

De Mari Michele

symbol email michele.demari@univr.it symbol phone-number 045 802 8226

Faccincani Lorenzo

symbol email lorenzo.faccincani@univr.it symbol phone-number 045 802 8610

Gnoatto Alessandro

symbol email alessandro.gnoatto@univr.it symbol phone-number 045 802 8537

Mazzon Andrea

symbol email andrea.mazzon@univr.it

Minozzo Marco

symbol email marco.minozzo@univr.it symbol phone-number 045 802 8234

Munari Cosimo

symbol email cosimo.munari@univr.it

Pichler Flavio

symbol email flavio.pichler@univr.it symbol phone-number 045 802 8273

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:

2° Year   activated in the A.Y. 2023/2024

ModulesCreditsTAFSSD
Stage
6
F
-
Final exam
15
E
-
activated in the A.Y. 2023/2024
ModulesCreditsTAFSSD
Stage
6
F
-
Final exam
15
E
-
Modules Credits TAF SSD
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

4S006069

Coordinator

Andrea Mazzon

Credits

9

Language

Italian

Scientific Disciplinary Sector (SSD)

SECS-S/06 - MATHEMATICAL METHODS OF ECONOMICS, FINANCE AND ACTUARIAL SCIENCES

Period

Secondo semestre (lauree magistrali) dal Feb 26, 2024 al May 24, 2024.

Courses Single

Authorized

Learning objectives

The course aims to provide a quantitative approach for dealing with investment and consumption problems under uncertainty. Fundamental topics presented in the course are also related to the efficient structure of financial markets and equilibrium theory.

Students may find useful to follow this course after those of Mathematical Finance, Financial Risk management and, Portfolio Management and Equity markets.

Prerequisites and basic notions

Students are advised to take this course after Finanza Matematica, Financial Risk Management and Derivati

Program

First part:
- introduction to stochastic control through some simple examples
- discrete time stochastic control, with examples
- continuous time stochastic control, with examples
- dynamic programming and the HJB equation
- stochastic control with jump processes
Second part:
- introduction to machine learning: reinforcement learning, supervised learning, deep learning, artificial neural networks
- deep hedging
- machine learning for optimal stopping
- time permitting: other applications of reinforcement learning in finance.
The second part of the course will consist of the theoretical introduction of the problems in question and the presentation of the code. There will also be some "live coding" sessions, in which students will have the opportunity to interact with the teacher in developing the code.

Didactic methods

The course includes 54 hours of lectures (equivalent to 9 training credits).

Learning assessment procedures

Written exam and delivery of a project in which the student will have to write a program for the numerical solution of an optimal control problem

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

Regarding the written exam, the student must demonstrate a critical and in-depth knowledge of the topics covered in the course, both in terms of the theoretical and implementation aspects. The answers must be precise and relevant to the questions.
The numerical program must run without errors and provide the expected results. It must also follow as much as possible the best practices that we will discuss in the course and, in particular, be well documented.

Criteria for the composition of the final grade

The written exam constitutes 75% of the final score, the program the remaining 25%.

Exam language

Italiano. A preferenza dello studente, l'esame potrà essere compilato anche in inglese.

Type D and Type F activities

SOFT SKILLS  

Find out more about the Soft Skills courses for Univr students provided by the University's Teaching and Learning Centre: https://talc.univr.it/it/competenze-trasversali 

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.

Primo semestre (lauree) From 9/19/22 To 1/13/23
years Modules TAF Teacher
1° 2° Ciclo tematico di conferenze: “Conflitti. Riconoscere, prevenire, gestire” - 2022/2023 D Riccardo Stacchezzini (Coordinator)
1° 2° Securitisation transactions - Focus on securitisations of OF NPL / NPE /UTP D Michele De Mari (Coordinator)
1° 2° The Fashion Lab - 2022/23 D Caterina Fratea (Coordinator)
Periodo generico From 10/1/22 To 5/31/23
years Modules TAF Teacher
1° 2° Economic Thinking and Thesis Writing D Marco Minozzo (Coordinator)
1° 2° Data Analysis Laboratory with R (Verona) D Marco Minozzo (Coordinator)
1° 2° Data Visualization Laboratory D Marco Minozzo (Coordinator)
1° 2° Python Laboratory D Marco Minozzo (Coordinator)
1° 2° Data Science Laboratory with SAP D Marco Minozzo (Coordinator)
1° 2° Advanced Excel Laboratory (Verona) D Marco Minozzo (Coordinator)
1° 2° Excel Laboratory (Verona) D Marco Minozzo (Coordinator)
1° 2° Laboratory on research methods for business D Cristina Florio (Coordinator)
1° 2° Laboratory on research methods for business D Cristina Florio (Coordinator)
1° 2° Piano di marketing 2022/23 D Fabio Cassia (Coordinator)
1° 2° Programming in Mathlab D Marco Minozzo (Coordinator)
1° 2° Programming in SAS D Marco Minozzo (Coordinator)
Primo semestre (lauree magistrali) From 10/3/22 To 12/23/22
years Modules TAF Teacher
1° 2° Business & predictive analytics for International Firms (with Excel Applications) - 2022/23 D Angelo Zago (Coordinator)
1° 2° Elements of Financial Risk Management - 2022/23 D Claudio Zoli (Coordinator)
1° 2° Soft skills training for economics - 2022/23 D Claudio Zoli (Coordinator)
1° 2° Topics in applied economics and finance - 2022/23 D Claudio Zoli (Coordinator)
1° 2° Experience 3 Days as a Manager D Riccardo Stacchezzini (Coordinator)
Secondo semestre (lauree magistrali) From 2/20/23 To 5/19/23
years Modules TAF Teacher
1° 2° The Chartered Accountant as a business consultant D Riccardo Stacchezzini (Coordinator)
1° 2° Integrated Financial Planning 2022/2023 D Riccardo Stacchezzini (Coordinator)
1° 2° Introduction to Java programming D Alessandro Gnoatto (Coordinator)
1° 2° Professional Communication for Economics 2022/2023 D Claudio Zoli (Coordinator)
Secondo semestre (lauree) From 2/20/23 To 5/31/23
years Modules TAF Teacher
1° 2° Project "B-EDUCATION: ideas that count" - 1 cfu D Roberto Bottiglia (Coordinator)
1° 2° Project "B-EDUCATION: ideas that count" - 2 cfu D Roberto Bottiglia (Coordinator)

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.

Graduation

List of theses and work experience proposals

theses proposals Research area
Tesi di laurea magistrale - Tecniche e problemi aperti nel credit scoring Statistics - Foundational and philosophical topics
Fattori ESG e valutazione d'azienda Various topics
Il metodo Monte Carlo per la valutazione di opzioni americane Various topics
Il Minimum Requirement for own funds and Eligible Liabilities (MREL) Various topics
L'acquisto di azioni proprie Various topics
Proposte Tesi A. Gnoatto Various topics

Linguistic training CLA


Gestione carriere


Internships


Student login and resources