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
1st semester Oct 1, 2009 Dec 19, 2009
2nd semester Feb 22, 2010 May 22, 2010
Corsi intensivi estivi (sede di Canazei) Jul 11, 2010 Aug 7, 2010
Exam sessions
Session From To
Sessione invernale Jan 7, 2010 Feb 20, 2010
Sessione estiva May 24, 2010 Jul 10, 2010
Sessione autunnale Sep 1, 2010 Sep 30, 2010
Sessione straordinaria Dec 1, 2010 Dec 20, 2010
Holidays
Period From To
Immacolata concezione Dec 8, 2009 Dec 8, 2009
Vacanze Natalizie Dec 21, 2009 Jan 6, 2010
Vacanze Pasquali Apr 2, 2010 Apr 6, 2010
Festa dei Lavoratori May 1, 2010 May 1, 2010
Santo Patrono May 21, 2010 May 21, 2010
Festa dellla Repubblica Jun 2, 2010 Jun 2, 2010
Vacanze estive Aug 9, 2010 Aug 15, 2010

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 P R T
BorrioneMarco

Borrione Marco

Brunetti Federico

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

Carlotto Ilaria

symbol email ilaria.carlotto@univr.it symbol phone-number 045 802 8264

Carra Damiano

symbol email damiano.carra@univr.it symbol phone-number +39 045 802 7059

Castellani Paola

symbol email paola.castellani@univr.it symbol phone-number 045 802 8127

Corsi Corrado

symbol email corrado.corsi@univr.it symbol phone-number 045 802 8452 (VR)

Duret Paolo

symbol email paolo.duret@univr.it symbol phone-number 0458425373

Fini Roberto

symbol email roberto.fini@univr.it

Grendene Igino

symbol email igino.grendene@univr.it symbol phone-number 0458028443

Peretti Alberto

symbol email alberto.peretti@univr.it symbol phone-number 0444 393936 (VI) 045 802 8238 (VR)

Tondini Giovanni

symbol email giovanni.tondini@univr.it symbol phone-number Verona: 045 8425449, Vicenza: 0444 393930

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.

2° Year  activated in the A.Y. 2010/2011

ModulesCreditsTAFSSD
9
B
IUS/04
9
B
SECS-P/01
9
B
SECS-P/03
9
B
SECS-S/01
activated in the A.Y. 2010/2011
ModulesCreditsTAFSSD
9
B
IUS/04
9
B
SECS-P/01
9
B
SECS-P/03
9
B
SECS-S/01

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

4S00181

Credits

9

Coordinator

Alberto Peretti

Language

Italian

Location

VICENZA

Scientific Disciplinary Sector (SSD)

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

The teaching is organized as follows:

1 - lezione

Credits

6

Period

2nd semester

Location

VICENZA

Academic staff

Alberto Peretti

2 - esercitazione

Credits

3

Period

2nd semester

Location

VICENZA

Academic staff

Alberto Peretti

Learning outcomes

Module: 1 - lectures
-------
The aim of the course is to give the basic mathematical knowledge, necessary to the following courses in statistics and economics. The course provides the classical arguments from mathematical analysis and linear algebra.


Module: 2 - esercise lectures
-------

This module intends to complete the theoretic knowledge with the adequate calculus ability

Program

Module: 1 - lectures
-------

Part I (revisal)

Polinomials
Powers and logarithms
Equations and inequalities
Analytic geometry

Part II (Real analysis)

Theory of sets. Power set. Cartesian product. Numerical sets: natural, integer, rational and real numbers
Functions. Composition of functions. Inverse function
Real numbers. Sup and inf of a set of real numbers.
Real functions. Plot. Image and inverse image. Sup of a function. Monotone functions. Elementary functions and their graphics. Power, exponential and logarithmic function
Limits and continuity. Calculus of limits. Landau symbols. Continuous functions. Weierstrass theorem
Derivatives. Calculus of derivatives. Stationary points. Maxima and minima of functions. Lagrange theorem. Mention to Taylor's formula and convex functions
Integrals. Primitive of a function. Riemann integral. Some properties of the Riemann integral. Integral function and the fundamental theorem of calculus. Calculus of the Riemann integral. Elementary methods. Integration by parts. Change of variable in the integral. The Riemann generalized integral.
Series. Geometric series and armonic series. Convergence criteria for series with positive terms

Part III (Linear algebra)

Linear spaces Rn. Linear dependence and linear independence. Subspaces. Basis and dimension of a space. Inner product
Mention to linear transformations. Matrices. Kernel and image of a linear transformation. Rank
Determinant and its properties. Inverse matrix. Calculus of the rank
Systems of linear equations. Rouché-Capelli's theorem. Cramer's theorem

Part IV (Real analysis in more variables)

Functions of more than one variable. Sets in Rn. Restriction. Level curves
Quadratic forms. Sign of a quadratic form. Study of the sign with principal minors
Partial derivatives and gradient. Derivatives and continuity. Differentiability. Second derivatives and Schwarz's theorem
Maxima and minima. Non constrained and constrained search of minima


Module: 2 - esercise lectures
-------

The topics are the same of the lectures

Examination Methods

Module: 1 - lectures
-------
In order to pass the exam students are asked to pass first a multiple choice test. A written exam is then proposed. A final oral exam is required only in case of a non full sufficiency.

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:

Modules not yet included

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


Student mentoring


Linguistic training CLA


Gestione carriere


Internships


Student login and resources