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
I semestre Oct 1, 2012 Jan 31, 2013
II semestre Mar 4, 2013 Jun 14, 2013
Exam sessions
Session From To
Sessione straordinaria Feb 4, 2013 Feb 28, 2013
Sessione estiva Jun 17, 2013 Jul 31, 2013
Sessione autunnale Sep 2, 2013 Sep 30, 2013
Degree sessions
Session From To
Sessione autunnale Oct 16, 2012 Oct 16, 2012
Sessione straordinaria Dec 10, 2012 Dec 10, 2012
Sessione invernale Mar 19, 2013 Mar 19, 2013
Sessione estiva Jul 22, 2013 Jul 22, 2013
Holidays
Period From To
Festa di Ognissanti Nov 1, 2012 Nov 1, 2012
Festa dell'Immacolata Concezione Dec 8, 2012 Dec 8, 2012
Vacanze di Natale Dec 21, 2012 Jan 6, 2013
Vacanze di Pasqua Mar 29, 2013 Apr 2, 2013
Festa della Liberazione Apr 25, 2013 Apr 25, 2013
Festa del Lavoro May 1, 2013 May 1, 2013
Festa del Santo Patrono di Verona - San Zeno May 21, 2013 May 21, 2013
Festa della Repubblica Jun 2, 2013 Jun 2, 2013
Vacanze estive Aug 9, 2013 Aug 16, 2013

Exam calendar

Exam dates and rounds are managed by the relevant Science and Engineering 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

A B C D G M O R S Z

Angeleri Lidia

lidia.angeleri@univr.it 045 802 7911

Baldo Sisto

sisto.baldo@univr.it 045 802 7935

Bos Leonard Peter

leonardpeter.bos@univr.it +39 045 802 7987

Caliari Marco

marco.caliari@univr.it +39 045 802 7904

Cuneo Alejandro Javier

alejando.cuneo@univr.it

Dai Pra Paolo

paolo.daipra@univr.it +39 0458027093

Daldosso Nicola

nicola.daldosso@univr.it +39 045 8027076 - 7828 (laboratorio)

Di Palma Federico

federico.dipalma@univr.it +39 045 8027074

Di Persio Luca

luca.dipersio@univr.it +39 045 802 7968

Gaburro Elena

elena.gaburro@unitn.it, elenagaburro@gmail.com

Malachini Luigi

luigi.malachini@univr.it 045 8054933

Mantese Francesca

francesca.mantese@univr.it +39 045 802 7978

Marigonda Antonio

antonio.marigonda@univr.it +39 045 802 7809

Mariotto Gino

gino.mariotto@univr.it +39 045 8027031

Mariutti Gianpaolo

gianpaolo.mariutti@univr.it 045 802 8241

Menon Martina

martina.menon@univr.it

Oliva Immacolata

immacolata.oliva@univr.it +39 0458028768

Orlandi Giandomenico

giandomenico.orlandi at univr.it 045 802 7986

Residori Stefania

stefania.residori@univr.it

Rizzi Romeo

romeo.rizzi@univr.it +39 045 8027088

Sansonetto Nicola

nicola.sansonetto@univr.it 049-8027932

Solitro Ugo

ugo.solitro@univr.it +39 045 802 7977
Marco Squassina,  January 5, 2014

Squassina Marco

marco.squassina@univr.it +39 045 802 7913

Zampieri Gaetano

gaetano.zampieri@univr.it +39 045 8027979

Zuccher Simone

simone.zuccher@univr.it

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
6
A
MAT/02
6
B
MAT/03
6
B
MAT/06
One course chosen from the following two
6
C
SECS-P/01
6
C
FIS/01
One course chosen from the following two
6
C
SECS-P/01
ModulesCreditsTAFSSD
One course of 12 ECTS or two courses of 6 ECTS chosen from the following three
6
C
MAT/06 ,SECS-P/05
Prova finale
6
E
-

2° Year

ModulesCreditsTAFSSD
6
A
MAT/02
6
B
MAT/03
6
B
MAT/06
One course chosen from the following two
6
C
SECS-P/01
6
C
FIS/01
One course chosen from the following two
6
C
SECS-P/01

3° Year

ModulesCreditsTAFSSD
One course of 12 ECTS or two courses of 6 ECTS chosen from the following three
6
C
MAT/06 ,SECS-P/05
Prova finale
6
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°- 3°
Other activities
6
F
-
Between the years: 1°- 2°- 3°

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

4S00001

Teacher

Romeo Rizzi

Coordinatore

Romeo Rizzi

Credits

6

Language

Italian

Scientific Disciplinary Sector (SSD)

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

Period

II sem. dal Mar 2, 2015 al Jun 12, 2015.

Learning outcomes

This course aims to introduce the student to some basic models and to the main methodologies in the optimization field, with a particular attention to dynamic programming, combinatorial optimization, graphs, linear programming. Complexity theory is introduced and used as a tool and the role of integer linear programming within the OR community is illustrated.

Program

Basic notions: models and algorithms, computational complexity, recursion and induction, invariants and monovariants, graphs, convex sets, polyhedra and cones.

Some of the models in Dynamic Programming: maximum increasing subsequence, maximum common subsequence, knapsack models.

Some of the models in graphs: Eulerian ed Hamiltonian paths and cycles, planar graphs and their duals, bipartite graphs, shortest paths, minimum spanning trees, max flow/min cut, maximum matching.

Linear programming: mathematical formulation of linear programming problems; equivalent forms, standard form; mathematical structure, geometry of linear programming, properties.
The simplex algorithm: vertices and basic solutions; optimality conditions; tableau method, auxiliary problem, two-phases method.
Duality theory: the fundamental duality theorem of linear programming, the dual simplex algorithm; economic interpretation; sensitivity analysis.
Integer linear programming: the cutting plane method; the branch and bound.
Network optimization: the minimum spanning tree problem, the shortest path problem, the maximum flow problem.

A more detailed program as intended, the day-by-day program of the last edition of the course, and the ongoing program of the current edition are available at the web-page of the course:

http://profs.sci.univr.it/~rrizzi/classes/RO/index.html

Examination Methods

Written final examination.

Past exams with answers can be found at the web-page of the course:
http://profs.sci.univr.it/~rrizzi/classes/RO/index.html

Type D and Type F activities

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.

Graduation

For schedules, administrative requirements and notices on graduation sessions, please refer to the Graduation Sessions - Science and Engineering service.

Attachments

Title Info File
Doc_Univr_pdf 1. Come scrivere una tesi 31 KB, 29/07/21 
Doc_Univr_pdf 2. How to write a thesis 31 KB, 29/07/21 
Doc_Univr_pdf 5. Regolamento tesi (valido da luglio 2022) 171 KB, 17/02/22 

List of theses and work experience proposals

theses proposals Research area
Formule di rappresentazione per gradienti generalizzati Mathematics - Analysis
Formule di rappresentazione per gradienti generalizzati Mathematics - Mathematics
Proposte Tesi A. Gnoatto Various topics
Mathematics Bachelor and Master thesis titles Various topics
Stage Research area
Internship proposals for students in mathematics Various topics

Attendance

As stated in point 25 of the Teaching Regulations for the A.Y. 2021/2022, except for specific practical or lab activities, attendance is not mandatory. Regarding these activities, please see the web page of each module for information on the number of hours that must be attended on-site.
Please refer to the Crisis Unit's latest updates for the mode of teaching.

Career management


Area riservata studenti