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..

Academic year:
Definition of lesson periods
Period From To
Primo Semestre Magistrali Oct 2, 2017 Dec 22, 2017
Secondo Semestre Magistrali Feb 26, 2018 May 25, 2018
Exam sessions
Session From To
Esami sessione invernale Magistrali Jan 8, 2018 Feb 23, 2018
Esami sessione estiva Magistrali May 28, 2018 Jul 6, 2018
Esami sessione autunnale 2018 Aug 27, 2018 Sep 14, 2018
Degree sessions
Session From To
Lauree sessione autunnale (validità a.a. 2016/17) Nov 27, 2017 Nov 28, 2017
Lauree sessione invernale (validità a.a. 2016/17) Apr 4, 2018 Apr 6, 2018
Lauree sessione estiva (validità a.a. 2017/18) Sep 10, 2018 Sep 11, 2018
Holidays
Period From To
All Saints Day Nov 1, 2017 Nov 1, 2017
Festa Immacolata Concezione Dec 8, 2017 Dec 8, 2017
attività sospese (Natale) Dec 23, 2017 Jan 7, 2018
Easter break Mar 30, 2018 Apr 3, 2018
Liberation Day Apr 25, 2018 Apr 25, 2018
attività sospese (Festa dei lavoratori) Apr 30, 2018 Apr 30, 2018
Labour Day May 1, 2018 May 1, 2018
Festa Patronale May 21, 2018 May 21, 2018
attività sospese estive Aug 6, 2018 Aug 24, 2018

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 G L M N P R S V Z

Bucciol Alessandro

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

Campolmi Alessia

symbol email alessia.campolmi@univr.it symbol phone-number 045 802 8071

Chesini Giuseppina

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

Ciampi Annalisa

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

Cipriani Giam Pietro

symbol email giampietro.cipriani@univr.it symbol phone-number 045 802 8271

De Sinopoli Francesco

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

Gaudenzi Barbara

symbol email barbara.gaudenzi@univr.it symbol phone-number 045 802 8623

Levati Maria Vittoria

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

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

Pertile Paolo

symbol email paolo.pertile@univr.it symbol phone-number 045 802 8438

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

Veronesi Marcella

symbol email marcella.veronesi@univr.it symbol phone-number 045 802 8025

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.

activated in the A.Y. 2018/2019
ModulesCreditsTAFSSD
2 courses to be chosen among the following
2 courses to be chosen among the following
6
B
SECS-P/11
6
B
SECS-P/08
Final exam
15
E
-

2° Year activated in the A.Y. 2018/2019

ModulesCreditsTAFSSD
2 courses to be chosen among the following
2 courses to be chosen among the following
6
B
SECS-P/11
6
B
SECS-P/08
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

4S02467

Credits

6

Language

English en

Scientific Disciplinary Sector (SSD)

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

Period

Primo Semestre Magistrali dal Oct 2, 2017 al Dec 22, 2017.

Learning outcomes

The main purpose is to provide a range of mathematical tools in order to handle the economic phenomena. First of all, some basic notions on functions of several variables are recalled. Then the course aims to give, in the 1st module, some essential knowledge on unconstrained and equality/inequality constrained optimization and, in the 2nd module, an introduction to differential equations.
At the end of the course the student should be have the mathematical tools to treat some optimization problems and differential equations that arise in the mathematical formulation of economic phenomena.

Program

1st module
Functions of several variables
Level sets
Differential calculus for functions of several variables
Quadratic forms and definite matrices
Convex functions and generalized convexity
Unconstrained optimization
Constrained optimization with equality constraints
Lagrangian function and optimality conditions
Constrained optimization with inequality constraints
Kuhn-Tucker theorem
Constraints qualification

2nd module
Ordinary differential equations. Some general aspects
Linear 1st order differential equations
Separable differential equations

A detailed program and the references to the textbooks are on the e-learning page.

Teaching supply
The course consists of 36 hours of lectures (equivalent to 6 credits).
In addition to the theoretical notions, lectures provide also some adequate set of techniques for solving exercises.

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

Examination Methods

Written and oral exam.
In the written test, candidates are expected to apply the fundamental notions of the course in order to solve exercises on functions of several variables, optimization problems and differential equations.
The oral exam consists at first in discussing the possible mistakes of the written test, then in investigating the theoretical competence of the candidate; hence, the knowledge of definitions and simple proofs is required.
A minimum mark is needed at the written test for the admittance to the oral discussion.

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

Academic year:
Primo Semestre Magistrali From 10/2/17 To 12/22/17
years Modules TAF Teacher
Business plan D Paolo Roffia (Coordinatore)
List of courses with unassigned period
years Modules TAF Teacher
English for business and economics D Claudio Zoli (Coordinatore)
An Introduction to the History of Economics and Business Economics D Sergio Noto (Coordinatore)
Introduction to dynamic optimization with economic applications D Claudio Zoli (Coordinatore)
Programming in Matlab D Not yet assigned
Programming in SAS D Not yet assigned
Programming Stata (3 cfu) D Not yet assigned
1° 2° Python Laboratory D Marco Minozzo (Coordinatore)
1° 2° Advanced Excel Laboratory (Verona) D Marco Minozzo (Coordinatore)
1° 2° 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.

Student login and resources


Internships


Graduation

List of theses and work experience proposals

theses proposals Research area
La (cattiva) gestione dei fondi comunitari in Italia ECONOMICS - ECONOMICS
Analisi dell'Impatto della Regolamentazione: potenziale e applicazioni concrete Various topics
Costs and benefits of the new Turin-Lyon railway line Various topics
Costs and benefits of new systems for speed control on italian motorways Various topics
Contingent valuation for the quality of hospital characteristics Various topics
Evaluating occupational impacts of large investment projects Various topics

Linguistic training CLA


Gestione carriere


Admission policy

ADMISSION POLICY

The admission procedure for international students is explained in details at:
www.magecverona.it/admission-benefits/
For further information please contact magec@dse.univr.it


Additional information

 

Additional information

For further information visit the program website, http://magec.dse.univr.it, or send an email at magec@dse.univr.it.