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
primo semestre (lauree magistrali) Oct 5, 2020 Dec 23, 2020
secondo semestre (lauree magistrali) Mar 1, 2021 Jun 1, 2021
Exam sessions
Session From To
sessione invernale Jan 11, 2021 Feb 12, 2021
sessione estiva Jun 7, 2021 Jul 23, 2021
sessione autunnale Aug 23, 2021 Sep 17, 2021
Degree sessions
Session From To
sessione autunnale (validità a.a. 2019/20) Dec 9, 2020 Dec 11, 2020
sessione invernale (validità a.a. 2019/20) Apr 7, 2021 Apr 9, 2021
sessione estiva (validità a.a. 2020/21) Sep 6, 2021 Sep 8, 2021
Holidays
Period From To
Vacanze di Natale Dec 24, 2020 Jan 6, 2021
Vacanze di Pasqua Apr 3, 2021 Apr 6, 2021
Vacanze estive Aug 9, 2021 Aug 15, 2021

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 Enrolment FAQs

Academic staff

B C D L M N P R S V Z

Baruffi Maria Caterina

symbol email mariacaterina.baruffi@univr.it

Brunetti Federico

symbol email federico.brunetti@univr.it symbol phone-number 045 802 8494

Bucciol Alessandro

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

Ciampi Annalisa

symbol email annalisa.ciampi@univr.it symbol phone-number 045 802 8061

De Sinopoli Francesco

symbol email francesco.desinopoli@univr.it symbol phone-number 045 842 5450

Levati Maria Vittoria

symbol email vittoria.levati@univr.it symbol phone-number 045 802 8640

Magazzini Laura

symbol email laura.magazzini@univr.it symbol phone-number 045 8028525

Matteazzi Eleonora

symbol email eleonora.matteazzi@univr.it symbol phone-number 045 8028741

Menon Martina

symbol email martina.menon@univr.it

Minozzo Marco

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

Noto Sergio

symbol email elefante@univr.it symbol phone-number 045 802 8008

Pellegrini Letizia

symbol email letizia.pellegrini@univr.it symbol phone-number 045 802 8345

Perali Federico

symbol email federico.perali@univr.it symbol phone-number 045 802 8486

Picarelli Athena

symbol email athena.picarelli@univr.it symbol phone-number 045 8028242

Roffia Paolo

symbol email paolo.roffia@univr.it symbol phone-number 045 802 8012

Sommacal Alessandro

symbol email alessandro.sommacal@univr.it symbol phone-number 045 802 8716

Stacchezzini Riccardo

symbol email riccardo.stacchezzini@univr.it symbol phone-number 045 802 8186
Virginia Vannucci,  October 25, 2020

Vannucci Virginia

symbol email virginia.vannucci@univr.it

Zoli Claudio

symbol email claudio.zoli@univr.it symbol phone-number 045 802 8479

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 enrolment year.

ModulesCreditsTAFSSD
9
B
SECS-P/05
1 module between the following
Training
3
F
-
activated in the A.Y. 2021/2022
ModulesCreditsTAFSSD
2 modules among the following
6
C
SECS-P/03
6
C
SECS-P/02
2 modules among the following
6
B
SECS-P/11
1 module between the following
Final exam
15
E
-

1° Year

ModulesCreditsTAFSSD
9
B
SECS-P/05
1 module between the following
Training
3
F
-

2° Year activated in the A.Y. 2021/2022

ModulesCreditsTAFSSD
2 modules among the following
6
C
SECS-P/03
6
C
SECS-P/02
2 modules among the following
6
B
SECS-P/11
1 module between the following
Final exam
15
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°
Between the years: 1°- 2°
Further language skills
3
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

4S008973

Credits

12

Coordinatore

Letizia Pellegrini

Language

English en

The teaching is organized as follows:

DATA MANAGEMENT FOR BUSINESS AND ECONOMICS

Credits

6

Period

primo semestre (lauree magistrali)

Academic staff

Laura Magazzini

Learning outcomes

The course aims at providing students the capabilities for addressing, in a quantitative framework, the main issues that arise in the economic and business context. The course is organized in two modules, specifically targeting mathematical and computational tools and data management and analysis.
In the first part, the module on mathematical and computational methods presents fundamental notions on unconstrained/constrained optimization and ordinary differential equations. In the second part of the module, computational programs are used to solve optimization problems and differential equations. The module on data management deals with the tools that can be used for handling and analysing data for business and economics. Specific software will be used to summarize the main information embedded in a sample of interest and to highlight the characteristics of the economic variables under analysis both through indices and graphical representations.
At the end of the course students should be able to provide a mathematical formulation for problems related to economics and management with the aim of identifying, given the prescribed objectives, their best solution. Students will develop the capability of solving the mathematical problems presented during the course using both analytical and computational techniques. The students will also acquire autonomy in the management of databases in order to extract information that can inform the decision process in business and policy areas.

Program

Module I - DATA MANAGEMENT FOR BUSINESS AND ECONOMICS
- Management of data and data types
- Main data sources in business and economics
- Descriptive analysis: frequency distribution, graphs, position and variability of the distribution, additional indexes
- Basic probability concepts
- Discrete random variables
- Continuous random variables
- Inferential statistics: estimation and hypothesis testing

Module II - MATHEMATICAL AND COMPUTATIONAL METHODS FOR BUSINESS AND ECONOMICS
- Differential calculus for functions of several variables
- Quadratic forms and definite matrices
- Convex functions
- Unconstrained optimization
- Constrained optimization with equality constraints
- Lagrangian function and optimality conditions
- Constrained optimization with inequality constraints
- Kuhn-Tucker theorem
- Convex problems
- Ordinary differential equations: definitions, general aspects and examples
- First order equations: separable equations, linear equations, phase diagram

Bibliography

Reference texts
Author Title Publishing house Year ISBN Notes
C.P. SIMON, L.E. BLUME Mathematics for Economists New York, London: Norton & Company Press, Cambridge 1994 0-393-95733-0
Docente del corso Le dispense ed altro materiale didattico verranno forniti dal Docente  
Newbold Paul, Carlson William, Thorne Betty Statistics for Business and Economics Pearson 2013 9780132745659

Examination Methods

The final exam is a written test. The valuation obtained in the homework related to the laboratory activity contributes to the final grade.

The possibility to participate remotely to the exam is guaranteed for all the requesting students.
The content, the allowed time and the evaluation criteria of the test will be the same whether for the students in the classroom or for the remote ones.

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

Type D and Type F activities

primo semestre (lauree) From 9/28/20 To 12/23/20
years Modules TAF Teacher
Future matters D Alessandro Bucciol (Coordinatore)
Future matters D Alessandro Bucciol (Coordinatore)
primo semestre (lauree magistrali) From 10/5/20 To 12/23/20
years Modules TAF Teacher
The fashion lab (1 ECTS) D Maria Caterina Baruffi (Coordinatore)
The fashion lab (2 ECTS) D Maria Caterina Baruffi (Coordinatore)
secondo semestre (lauree) From 2/15/21 To 6/1/21
years Modules TAF Teacher
Design and Evaluation of Economic and Social Policies D Federico Perali (Coordinatore)
Public debate and scientific writing - 2020/2021 D Martina Menon (Coordinatore)
Wake up Italia - 2020/2021 D Sergio Noto (Coordinatore)
secondo semestre (lauree magistrali) From 3/1/21 To 6/1/21
years Modules TAF Teacher
Professional Communication for Economics D Claudio Zoli (Coordinatore)
1° 2° Business analytics: make your data make an impact - 2020/2021 D Claudio Zoli (Coordinatore)
List of courses with unassigned period
years Modules TAF Teacher
Ciclo di video conferenze: "L’economia del Covid, Verona e l’Italia. Una pandemia che viene da lontano?" - 2020/21 D Sergio Noto (Coordinatore)
Ciclo tematico di conferenze (on-line): “Come saremo? Ripensare il mondo dopo il 2020” - 2020/21 D Federico Brunetti (Coordinatore)
Elements of financial risk management D Claudio Zoli (Coordinatore)
Integrated Financial Planning - 2020/21 D Riccardo Stacchezzini (Coordinatore)
Introduction to business plan - 2020/21 D Paolo Roffia (Coordinatore)
The fashion lab (3 ECTS) D Not yet assigned
Marketing plan - 2020/21 D Virginia Vannucci (Coordinatore)
1° 2° Data Analysis Laboratory with R (Verona) D Marco Minozzo (Coordinatore)
1° 2° Data Visualization Laboratory D Marco Minozzo (Coordinatore)
1° 2° Python Laboratory D Marco Minozzo (Coordinatore)
1° 2° Advanced Excel Laboratory (Verona) D Marco Minozzo (Coordinatore)
1° 2° Programming in Matlab D Marco Minozzo (Coordinatore)
1° 2° Programming in SAS D Marco Minozzo (Coordinatore)
1° 2° 3° Excel Laboratory (Verona) D Marco Minozzo (Coordinatore)

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.

Further services

I servizi e le attività di orientamento sono pensati per fornire alle future matricole gli strumenti e le informazioni che consentano loro di compiere una scelta consapevole del corso di studi universitario.


Linguistic training CLA


Graduation


Internships


Doppio Titolo

Grazie ad una rete di accordi con Atenei esteri, l’Università di Verona offre percorsi formativi internazionali che consentono l’acquisizione di un doppio titolo di studio. L’ammissione ad un CdS a doppio titolo consente di conseguire contemporaneamente, nel tempo di un normale ciclo di studi (di cui una parte viene svolta all'estero), sia il titolo di studio dell’Università di Verona che il titolo rilasciato dall'Ateneo partner, garantendo di vedere riconosciuto il diploma di laurea in entrambi i Paesi.
L'accesso al doppio titolo (così come l’eventuale sostegno finanziario) è regolato da uno specifico bando, e il numero di posti è limitato.


Gestione carriere


Student login and resources