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.

A.A. 2021/2022

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 4, 2021 Dec 17, 2021
secondo semestre (lauree magistrali) Feb 21, 2022 May 13, 2022
Exam sessions
Session From To
sessione invernale Jan 10, 2022 Feb 18, 2022
sessione estiva May 23, 2022 Jul 1, 2022
sessione autunnale Aug 22, 2022 Sep 23, 2022
Degree sessions
Session From To
sessione autunnale (validità a.a. 2020/2021) Dec 6, 2021 Dec 10, 2021
sessione invernale (validità a.a. 2020/2021) Apr 6, 2022 Apr 8, 2022
sessione estiva (validità a.a. 2021/2022) Sep 5, 2022 Sep 6, 2022

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 F G M N P R S V Z

Bertoli Paola

paola.bertoli@univr.it 045 8028 502

Brunetti Federico

federico.brunetti@univr.it 045 802 8494

Buccheri Giuseppe

giuseppe.buccheri@univr.it 045 8028525

Bucciol Alessandro

alessandro.bucciol@univr.it 045 802 8278

Campolmi Alessia

alessia.campolmi@univr.it 045 802 8071

Cantele Silvia

silvia.cantele@univr.it 045 802 8220 (VR) - 0444 393943 (VI)

Chesini Giuseppina

giusy.chesini@univr.it 045 802 8495 (VR) -- 0444/393938 (VI)

Ciampi Annalisa

annalisa.ciampi@univr.it 045 802 8061

Cipriani Giam Pietro

giampietro.cipriani@univr.it 045 802 8271

De Sinopoli Francesco

francesco.desinopoli@univr.it 045 842 5450

Di Caterina Claudia

claudia.dicaterina@univr.it 0458028247

Fratea Caterina

caterina.fratea@univr.it 045 802 8858

Gaudenzi Barbara

barbara.gaudenzi@univr.it 045 802 8623

Matteazzi Eleonora

eleonora.matteazzi@univr.it 045 8028741

Menon Martina

martina.menon@univr.it 045 802 8420

Minozzo Marco

marco.minozzo@univr.it 045 802 8234

Nicodemo Catia

catia.nicodemo@univr.it +39 045 8028340

Pellegrini Letizia

letizia.pellegrini@univr.it 045 802 8345

Perali Federico

federico.perali@univr.it 045 802 8486

Pertile Paolo

paolo.pertile@univr.it 045 802 8438

Picarelli Athena

athena.picarelli@univr.it 045 8028242

Piovesan Marco

marco.piovesan@univr.it 045.80.28.104

Roffia Paolo

paolo.roffia@univr.it 045 802 8012

Scricciolo Catia

catia.scricciolo@univr.it 045 802 8341

Sommacal Alessandro

alessandro.sommacal@univr.it 045 802 8716

Stacchezzini Riccardo

riccardo.stacchezzini@univr.it 045 802 8186

Vannucci Virginia

virginia.vannucci@univr.it

Zago Angelo

angelo.zago@univr.it 045 802 8414

Zoli Claudio

claudio.zoli@univr.it 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)
One module between the following
3
F
(-)
ModulesCreditsTAFSSD
Two modules among the following
6
C
(SECS-P/02)
6
C
(SECS-P/03)
6
C
(SECS-P/02)
Two modules among the following
6
B
(SECS-P/11)
One module between the following

1° Year

ModulesCreditsTAFSSD
9
B
(SECS-P/05)
One module between the following
3
F
(-)

2° Year

ModulesCreditsTAFSSD
Two modules among the following
6
C
(SECS-P/02)
6
C
(SECS-P/03)
6
C
(SECS-P/02)
Two modules among the following
6
B
(SECS-P/11)
One module between the following
Modules Credits TAF SSD
Between the years: 1°- 2°
Further language skills
3
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.




SPlacements in companies, public or private institutions and professional associations

Teaching code

4S008973

Credits

12

Coordinatore

Letizia Pellegrini

The teaching is organized as follows:

Data management for business and economics

Credits

6

Period

primo semestre (lauree magistrali)

Academic staff

Giuseppe Buccheri

Mathematical and computational methods for business and economics

Credits

6

Period

primo semestre (lauree magistrali)

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

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.

Bibliografia

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.

Type D and Type F activities

1° periodo lezioni (1A) From 9/16/21 To 10/30/21
years Modules TAF Teacher
1° 2° The fashion lab (1 ECTS) D Caterina Fratea (Coordinatore)
1° 2° The fashion lab (2 ECTS) D Caterina Fratea (Coordinatore)
1° 2° The fashion lab (3 ECTS) D Caterina Fratea (Coordinatore)
primo semestre (lauree) From 9/20/21 To 1/14/22
years Modules TAF Teacher
1° 2° Marketing plan D Virginia Vannucci (Coordinatore)
Periodo generico From 10/1/21 To 5/31/22
years Modules TAF Teacher
1° 2° Internationalization and Sustainability. Friends or Enemies? D Angelo Zago (Coordinatore)
1° 2° Internationalization and Sustainability. Friends or Enemies? D Angelo Zago (Coordinatore)
1° 2° Internationalization and Sustainability. Friends or Enemies? D Angelo Zago (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° Data Science Laboratory with SAP D Marco Minozzo (Coordinatore)
1° 2° Advanced Excel Laboratory (Verona) D Marco Minozzo (Coordinatore)
1° 2° 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° Samsung Innovation Camp D Marco Minozzo (Coordinatore)
primo semestre (lauree magistrali) From 10/4/21 To 12/17/21
years Modules TAF Teacher
1° 2° Business & Predictive Analytics for International Firms (with Excel Applications) - 2021/2022 D Angelo Zago (Coordinatore)
1° 2° What paradigms beyond the pandemic? Individual vs. Society, Private vs. Public D Federico Brunetti (Coordinatore)
1° 2° Data Discovery for Business Decisions- 2021/2022 D Claudio Zoli (Coordinatore)
1° 2° Elements of Financial Risk Management - 2021/2022 D Claudio Zoli (Coordinatore)
1° 2° English for business and economics F Claudio Zoli
1° 2° Integrated Financial Planning D Riccardo Stacchezzini (Coordinatore)
1° 2° Introduction to Business Plan-2021/2022 D Paolo Roffia (Coordinatore)
Modules borrowed from the Faculty of Scienze matematiche fisiche e naturali
1° periodo lezioni (1B) From 11/5/21 To 12/16/21
years Modules TAF Teacher
1° 2° The fashion lab (1 ECTS) D Caterina Fratea (Coordinatore)
1° 2° The fashion lab (2 ECTS) D Caterina Fratea (Coordinatore)
1° 2° The fashion lab (3 ECTS) D Caterina Fratea (Coordinatore)
List of courses with unassigned period
years Modules TAF Teacher
1° 2° How to Enter in a Foreign Market. Theory and Applications - 2021/2022 D Angelo Zago (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.

Gestione carriere


Internships


Linguistic training CLA


Doppio Titolo

.

Graduation


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.