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 3, 2011 Jan 31, 2012
II semestre Mar 1, 2012 Jun 15, 2012
Exam sessions
Session From To
Sessione straordinaria Feb 1, 2012 Feb 29, 2012
Sessione estiva Jun 18, 2012 Jul 31, 2012
Sessione autunnale Sep 3, 2012 Sep 28, 2012
Degree sessions
Session From To
Sessione autunnale Oct 20, 2011 Oct 20, 2011
Sessione straordinaria Dec 14, 2011 Dec 14, 2011
Sessione invernale Mar 22, 2012 Mar 22, 2012
Sessione estiva Jul 17, 2012 Jul 17, 2012
Holidays
Period From To
Festa di Ognissanti Nov 1, 2011 Nov 1, 2011
Festa dell'Immacolata Concezione Dec 8, 2011 Dec 8, 2011
Vacanze Natalizie Dec 22, 2011 Jan 6, 2012
Vacanze Pasquali Apr 5, 2012 Apr 10, 2012
Festa della Liberazione Apr 25, 2012 Apr 25, 2012
Festa del Lavoro May 1, 2012 May 1, 2012
Festa del Patrono di Verona S. Zeno May 21, 2012 May 21, 2012
Festa della Repubblica Jun 2, 2012 Jun 2, 2012
Vacanze estive Aug 8, 2012 Aug 15, 2012

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 Enrollment FAQs

Academic staff

B C D F G M P Q R S V

Belussi Alberto

symbol email alberto.belussi@univr.it symbol phone-number +39 045 802 7980

Bombieri Nicola

symbol email nicola.bombieri@univr.it symbol phone-number +39 045 802 7094

Bonacina Maria Paola

symbol email mariapaola.bonacina@univr.it symbol phone-number +39 045 802 7046

Carra Damiano

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

Combi Carlo

symbol email carlo.combi@univr.it symbol phone-number +39 045 802 7985

Cristani Matteo

symbol email matteo.cristani@univr.it symbol phone-number +39 045 802 7983

Cristani Marco

symbol email marco.cristani@univr.it symbol phone-number +39 045 802 7841

Cubico Serena

symbol email serena.cubico@univr.it symbol phone-number 045 802 8132

Di Pierro Alessandra

symbol email alessandra.dipierro@univr.it symbol phone-number +39 045 802 7971

Farinelli Alessandro

symbol email alessandro.farinelli@univr.it symbol phone-number +39 045 802 7842

Favretto Giuseppe

symbol email giuseppe.favretto@univr.it symbol phone-number +39 045 802 8749 - 8748

Fiorini Paolo

symbol email paolo.fiorini@univr.it symbol phone-number 045 802 7963

Fracastoro Gerolamo

symbol email gerolamo.fracastoro@univr.it symbol phone-number + 39 0458122786

Fummi Franco

symbol email franco.fummi@univr.it symbol phone-number 045 802 7994

Fusiello Andrea

symbol email nome.cognome[at]uniud.it

Giachetti Andrea

symbol email andrea.giachetti@univr.it symbol phone-number +39 045 8027998

Giacobazzi Roberto

symbol email roberto.giacobazzi@univr.it symbol phone-number +39 045 802 7995

Manca Vincenzo

symbol email vincenzo.manca@univr.it symbol phone-number 3534161648

Masini Andrea

symbol email andrea.masini@univr.it symbol phone-number +39 045 802 7922

Mastroeni Isabella

symbol email isabella.mastroeni@univr.it symbol phone-number +39 045 802 7089

Menegaz Gloria

symbol email gloria.menegaz@univr.it symbol phone-number +39 045 802 7024

Merro Massimo

symbol email massimo.merro@univr.it symbol phone-number +39 045 802 7992

Monti Francesca

symbol email francesca.monti@univr.it symbol phone-number +39 045 802 7910

Posenato Roberto

symbol email roberto.posenato@univr.it

Pravadelli Graziano

symbol email graziano.pravadelli@univr.it symbol phone-number +39 045 802 7081

Quaglia Davide

symbol email davide.quaglia@univr.it symbol phone-number +39 045 802 7811

Rizzi Romeo

symbol email romeo.rizzi@univr.it symbol phone-number +39 045 802 7088

Segala Roberto

symbol email roberto.segala@univr.it symbol phone-number +39 045 802 7997

Vigano' Luca

symbol email luca.vigano@univr.it

Villa Tiziano

symbol email tiziano.villa@univr.it symbol phone-number +39 045 802 7034

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.

CURRICULUM TIPO:

1° Year 

ModulesCreditsTAFSSD
12
B
ING-INF/05
12
B
ING-INF/05

2° Year   activated in the A.Y. 2012/2013

ModulesCreditsTAFSSD
Altre attivita' formative
4
F
-
ModulesCreditsTAFSSD
12
B
ING-INF/05
12
B
ING-INF/05
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

4S02709

Teacher

Romeo Rizzi

Credits

6

Language

Italian

Scientific Disciplinary Sector (SSD)

ING-INF/05 - INFORMATION PROCESSING SYSTEMS

Period

II semestre dal Mar 1, 2012 al Jun 15, 2012.

To show the organization of the course that includes this module, follow this link:  Course organization

Learning outcomes

The goal of this course is to familiarize with the main techniques and methodologies for the design and analysis of efficient algorithms.
We also present some more advanced paradigms and introduce a few approaches
for the dealing with NP-hard problems (approximation algorithms,
implicit enumeration and branch & bound algorithms, fixed parameter tractability).

Program

We follow a direct approach driven by the eager of solving
interesting algorithmic problems together.
Just to draw a path, that could be the following.

Main concepts recall about computational problems: definition, instances, encoding, precise and approximate models. Optimization computational problem.
Main concepts recall about algorithms: computational resources, input encoding, input size/cost, computational time. Worst and average analysis. Computational time and growth order.
Computational time vs. hardware improvements: main relations. Efficient algorithms and tractable problems.

Recursion and induction
-----------------------
examples of the inductive approach in solving problems.

Divide et impera paradigm
-------------------------
Definition and application to some problems.

Greedy paradigm
---------------
Definition and application to some problems.

Dynamic programming paradigm
----------------------------
Definition and application to some problems.
Memoization and Dynamic programming.

Branch & Bound technique
------------------------
Definition and application to some problems.
Lower bounds and upper bounds.

Approximations algorithms
-------------------------
A few classical examples (node cover, set cover, Christofides for the metric TSP, an FPTAS for the knapsack).

Fixed parameter tractability
----------------------------
A few examples.
Kernels, iterative compression, color coding.

Reference texts
Author Title Publishing house Year ISBN Notes
T. Cormen, C. Leiserson, R. Rivest Introduction to algorithms (Edizione 1) MIT Press 1990 0262031418
T. Cormen, C. Leiserson, R. Rivest, C. Stein Introduzione agli Algoritmi e Strutture Dati (Edizione 2) McGraw-Hill 2005 88-386-6251-7

Examination Methods

Part of the exam of the qualifying in Algorithms and Complexity
(the other half is Complexity).
The test for Algorithms lasts 5 houers and takes places in computer room.
It is required to design and code (in c or c++) efficient as possible
algorithms for three given problems.

Students with disabilities or specific learning disorders (SLD), who intend to request the adaptation of the exam, must follow the instructions given HERE

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 also via the Univr app.

Graduation

Deadlines and administrative fulfilments

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

Need to activate a thesis internship

For thesis-related internships, it is not always necessary to activate an internship through the Internship Office. For further information, please consult the dedicated document, which can be found in the 'Documents' section of the Internships and work orientation - Science e Engineering service.

Final examination regulations

List of thesis proposals

theses proposals Research area
Analisi ed identificazione automatica del tono/volume della voce AI, Robotics & Automatic Control - AI, Robotics & Automatic Control
Analisi e percezione dei segnali biometrici per l'interazione con robot AI, Robotics & Automatic Control - AI, Robotics & Automatic Control
Integrazione del simulatore del robot Nao con Oculus Rift AI, Robotics & Automatic Control - AI, Robotics & Automatic Control
BS or MS theses in automated reasoning Computing Methodologies - ARTIFICIAL INTELLIGENCE
Sviluppo sistemi di scansione 3D Computing Methodologies - COMPUTER GRAPHICS
Sviluppo sistemi di scansione 3D Computing Methodologies - IMAGE PROCESSING AND COMPUTER VISION
Dati geografici Information Systems - INFORMATION SYSTEMS APPLICATIONS
Analisi ed identificazione automatica del tono/volume della voce Robotics - Robotics
Analisi e percezione dei segnali biometrici per l'interazione con robot Robotics - Robotics
Integrazione del simulatore del robot Nao con Oculus Rift Robotics - Robotics
BS or MS theses in automated reasoning Theory of computation - Logic
BS or MS theses in automated reasoning Theory of computation - Semantics and reasoning
Proposte di tesi/collaborazione/stage in Intelligenza Artificiale Applicata Various topics
Proposte di Tesi/Stage/Progetto nell'ambito dell'analisi dei dati Various topics

Attendance modes and venues

As stated in the Teaching Regulations, attendance at the course of study is not mandatory.

Part-time enrolment is permitted. Find out more on the Part-time enrolment possibilities page.

The course's teaching activities take place in the Science and Engineering area, which consists of the buildings of Ca‘ Vignal 1, Ca’ Vignal 2, Ca' Vignal 3 and Piramide, located in the Borgo Roma campus. 
Lectures are held in the classrooms of Ca‘ Vignal 1, Ca’ Vignal 2 and Ca' Vignal 3, while practical exercises take place in the teaching laboratories dedicated to the various activities.

 


Career management


Student login and resources


Erasmus+ and other experiences abroad


Tutoring faculty members