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. 2017/2018

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

alessandro.bucciol@univr.it 045 802 8278

Campolmi Alessia

alessia.campolmi@univr.it 045 802 8071

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

Gaudenzi Barbara

barbara.gaudenzi@univr.it 045 802 8623

Levati Maria Vittoria

vittoria.levati@univr.it 045 802 8640

Menon Martina

martina.menon@univr.it 045 802 8420

Minozzo Marco

marco.minozzo@univr.it 045 802 8234

Noto Sergio

elefante@univr.it 045 802 8008

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

Roffia Paolo

paolo.roffia@univr.it 045 802 8012

Sommacal Alessandro

alessandro.sommacal@univr.it 045 802 8716

Veronesi Marcella

marcella.veronesi@univr.it 045 802 8025

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
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
-

1° Year

ModulesCreditsTAFSSD
9
B
(SECS-P/05)
3
F
(-)

2° Year

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.




SPlacements in companies, public or private institutions and professional associations

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)

Teaching code

4S003723

Coordinatore

Claudio Zoli

Credits

2

Scientific Disciplinary Sector (SSD)

NN - -

Language

English en

Period

Not yet assigned

Learning outcomes

This is a 2 credits optional module taught in English by Dr. Martin Forster (University of York, UK)
The aim of the module is to introduce students to dynamic optimisation, with applications in Economics.
By the end of the course students should be able to:
1. explain why taking a dynamic perspective to solving economic problems can be important
2. solve analytically/analyse qualitatively some simple difference and differential equations
in one and two dependent variables
3. explain the methodology underlying dynamic programming and solve a simple economic
model using dynamic programming
4. explain the methodology underlying the maximum principle and solve simple economic
models using the maximum principle

Program

The module is divided into three parts:
1. Part I. Preliminaries: Difference and differential equations in one and two dependent variables
2. Part II. Deterministic dynamic optimisation: Dynamic programming
3. Part III. Deterministic dynamic optimisation: The Maximum Principle

The timetable will consider 4 lectures of 3 hours each covering:
Lecture 1 and Workshop: Difference and Differential Equations in One Dependent
Variable.
Lecture 2 and Workshop: Systems of Differential Equations.
Lecture 3 and Workshop: Dynamic Programming.
Lecture 4: The Maximum Principle and Applications in Economics.

Workshops following lectures will give students the chance to apply the material that has been covered.

References
Reading is referred to at the end of the lectures. The best texts are:
Mathematics for Economists. C. Simon and L. Blume. (Part I)
Optimal Control Theory and Static Optimization in Economics. D. Leonard and N. van
Long. (Parts II and III)
Foundations of Dynamic Economic Analysis. M. Caputo. (Parts II and III)
Advanced Macroeconomics. D. Romer. (Part III)

Bibliografia

Reference texts
Author Title Publishing house Year ISBN Notes
D. ROMER Advanced Macroeconomics McGraw-Hill 2011
M. Caputo Foundations of Dynamic Economic Analysis Cambridge University Press 2005
C.P. SIMON, L.E. BLUME Mathematics for Economists New York, London: Norton & Company Press, Cambridge 1994 0-393-95733-0
D. Leonard and N. van Long Optimal Control Theory and Static Optimization in Economics. Cambridge University Press 1992

Examination Methods

Exercises: In addition to the material covered in the workshops following lectures additional exercises are provided as practice for homework.

The evaluation of the students is based on classwork and on an average across two pieces of assessed work:
Assessed work 1: an exercise on phase diagrams.
Assessed work 2: an exercise on the maximum principle.

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.

Area riservata studenti


Linguistic training CLA


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

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.

 


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.