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
1st Semester Oct 1, 2009 Jan 31, 2010
2nd Semester Mar 1, 2010 Jun 15, 2010
Exam sessions
Session From To
Sessione straordinaria Feb 1, 2010 Feb 28, 2010
Sessione estiva Jun 16, 2010 Jul 31, 2010
Sessione autunnale Sep 1, 2010 Sep 30, 2010
Degree sessions
Session From To
Sessione autunnale Sep 29, 2009 Sep 29, 2009
Sessione straordinaria Dec 10, 2009 Dec 10, 2009
Sessione invernale Mar 17, 2010 Mar 17, 2010
Sessione estiva Jul 19, 2010 Jul 19, 2010
Holidays
Period From To
Festa di Ognissanti Nov 1, 2009 Nov 1, 2009
Festa dell'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 della Liberazione Apr 25, 2010 Apr 25, 2010
Festa del Lavoro May 1, 2010 May 1, 2010
Festa del Santo Patrono May 21, 2010 May 21, 2010
Festa della 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 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

B C D F G M P S T V Z

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

Cristani Matteo

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

Di Pierro Alessandra

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

Drago Nicola

symbol email nicola.drago@univr.it symbol phone-number 045 802 7081

Drioli Carlo

symbol email carlo.drioli@univr.it symbol phone-number +39 045 802 7968

Ferro Ruggero

symbol email ruggero.ferro@univr.it symbol phone-number 045 802 7909

Fiorini Paolo

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

Fummi Franco

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

Fusiello Andrea

symbol email nome.cognome[at]uniud.it

Giacobazzi Roberto

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

Gregorio Enrico

symbol email Enrico.Gregorio@univr.it symbol phone-number 045 802 7937

Guerriero Massimo

symbol email massimo.guerriero@univr.it

Mariotto Gino

symbol email gino.mariotto@univr.it symbol phone-number +39 045 8027031

Masini Andrea

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

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 045 802 7992

Monti Francesca

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

Morato Laura Maria

symbol email laura.morato@univr.it symbol phone-number 045 802 7904

Pravadelli Graziano

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

Segala Roberto

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

Todorov Velitchko

symbol email velitchko.todorov@univr.it

Venturin Manolo

Vigano' Luca

symbol email luca.vigano@univr.it

Zoccante Sergio

symbol email sergiozoccante@tin.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.

CURRICULUM TIPO:
activated in the A.Y. 2010/2011
ModulesCreditsTAFSSD
12
B
INF/01
6
B
ING-INF/05
12
B
ING-INF/05
activated in the A.Y. 2011/2012
ModulesCreditsTAFSSD
12
B
INF/01

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

ModulesCreditsTAFSSD
12
B
INF/01
6
B
ING-INF/05
12
B
ING-INF/05

3° Year activated in the A.Y. 2011/2012

ModulesCreditsTAFSSD
12
B
INF/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

4S00035

Coordinatore

Francesca Monti

Credits

6

Also offered in courses:

  • Physics 2 of the course Bachelor's degree in Applied Mathematics

Language

Italian

Scientific Disciplinary Sector (SSD)

FIS/01 - EXPERIMENTAL PHYSICS

Period

II semestre dal Mar 1, 2011 al Jun 15, 2011.

Learning outcomes

Aim of the course is to complete the knowledge of classical physics with the study of the laws of electromagnetism, wave phenomena and electromagnetic waves.

Program

Electric field and potential: electric charge, Coulomb law, superposition principle, Gauss theorem. Determination of electric field and potential from a given charge distribution. Energy density in an electric field. Linear circuits, Kirchoff laws.

Magnetic field and electromagnetic induction: electric currents and magnetic fields, magnetic field from currents (the 1st Lapalce law) and from moving charges; magnetic force on currents (the 2nd Laplace law) and on moving charges (the Lorentz law). Application of the 1st Laplace law to the determination of magnetic fields from currents. Magnetic interaction between two wires. definition of Ampere and Coulomb. Ampere theorem and its application to the determination of magnetic fields from a given distribution of currents. Gauss theorem for magnetic fields.
Magnetic induction: fem as a consequence of the Lorentz force and as the derivative of the magnetic flux; fem from time dependent magnetic fields; circuitation of the electric field and derivative of the magnetic field flux: the Faraday-Henry law. Inductance and energy density in a magnetic field. The Ampere-Maxewll law and the four Maxwell equations (integral form). Gradient of a scalar field: electric field and potential. Divergence and curl of a vector field: differential Maxwell equations.

Waves and electromagnetic waves
Waves, impulse waves, wave trains, periodic waves; plane waves; wavelength, period and frequency of a periodic wave. Wave equation. Armonic waves: velocity and frequency, wavelength and wavenumber. Superposition principle. Armonic waves and Fourier analysis. Dispersion. Wave intensity and impedance of the medium. Mechanical waves. Electromagnetic waves: Maxwell equations and electromagnetic waves, electromagnetic waves equation. Energy and intensity. Polarization. Electromagnetic spectrum. Reflection and refraction of waves, transmitted and reflected intensities at normal incidence. Interference of waves, maxima and minima. Thin-film interference, Young experiment.Fraunhofer diffraction, diffraction minima, central maximum width, diffraction from a circular aperture, Airy disk and Rayleigh criterion, resolving power of lenses.

Brief introduction to quantum mechanics: quantization of light: black-body radiation, photoelectronic effect; quantization of matter: atomic emission and absorption spectra, Bohr’s atom, Stern-Gerlach experiment; wavlike behaviourof matter: De Broglie relation, uncertainty principle.

Examination Methods

Written exam: solution of some problems on electrostatics, magnetostatics, electromagnetic induction, electromagnetic waves and related phenomena.

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

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.

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.


Erasmus+ and other experiences abroad


Graduation

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

List of theses and work experience proposals

theses proposals Research area
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
Domain Adaptation Computer Science and Informatics: Informatics and information systems, computer science, scientific computing, intelligent systems - Computer graphics, computer vision, multi media, computer games
Domain Adaptation Computer Science and Informatics: Informatics and information systems, computer science, scientific computing, intelligent systems - Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)
BS or MS theses in automated reasoning Computing Methodologies - ARTIFICIAL INTELLIGENCE
Domain Adaptation Computing Methodologies - IMAGE PROCESSING AND COMPUTER VISION
Domain Adaptation Computing methodologies - Machine learning
Dati geografici Information Systems - INFORMATION SYSTEMS APPLICATIONS
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 delle basi di dati/sistemi informativi Various topics

Attendance

As stated in the Teaching Regulations for the A.Y. 2022/2023, attendance at the course of study is not mandatory.
Please refer to the Crisis Unit's latest updates for the mode of teaching.


Career management


Student login and resources