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. 2018/2019

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, 2018 Jan 31, 2019
II semestre Mar 4, 2019 Jun 14, 2019
Exam sessions
Session From To
Sessione invernale d'esame Feb 1, 2019 Feb 28, 2019
Sessione estiva d'esame Jun 17, 2019 Jul 31, 2019
Sessione autunnale d'esame Sep 2, 2019 Sep 30, 2019
Degree sessions
Session From To
Sessione Estiva Jul 17, 2019 Jul 17, 2019
Sessione Autunnale Nov 20, 2019 Nov 20, 2019
Sessione Invernale Mar 17, 2020 Mar 17, 2020
Holidays
Period From To
Sospensione dell'attività didattica Nov 2, 2018 Nov 3, 2018
Vacanze di Natale Dec 24, 2018 Jan 6, 2019
Vacanze di Pasqua Apr 19, 2019 Apr 28, 2019
Festa del Santo Patrono May 21, 2019 May 21, 2019
Vacanze estive Aug 5, 2019 Aug 18, 2019

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 O P Q S T U Z

Belussi Alberto

alberto.belussi@univr.it +39 045 802 7980

Bombieri Nicola

nicola.bombieri@univr.it +39 045 802 7094

Bonacina Maria Paola

mariapaola.bonacina@univr.it +39 045 802 7046

Boscaini Maurizio

maurizio.boscaini@univr.it

Busato Federico

federico.busato@univr.it

Calanca Andrea

andrea.calanca@univr.it +39 045 802 7847

Carra Damiano

damiano.carra@univr.it +39 045 802 7059

Castellini Alberto

alberto.castellini@univr.it +39 045 802 7908

Combi Carlo

carlo.combi@univr.it 045 802 7985

Cristani Matteo

matteo.cristani@univr.it 045 802 7983

Cristani Marco

marco.cristani@univr.it +39 045 802 7841

Daffara Claudia

claudia.daffara@univr.it +39 045 802 7942

Dall'Alba Diego

diego.dallalba@univr.it +39 045 802 7074

Di Pierro Alessandra

alessandra.dipierro@univr.it +39 045 802 7971

Fummi Franco

franco.fummi@univr.it 045 802 7994

Geretti Luca

luca.geretti@univr.it +39 045 802 7850

Giacobazzi Roberto

roberto.giacobazzi@univr.it +39 045 802 7995

Gregorio Enrico

Enrico.Gregorio@univr.it 045 802 7937

Maris Bogdan Mihai

bogdan.maris@univr.it +39 045 802 7074

Marzola Pasquina

pasquina.marzola@univr.it 045 802 7816 (ufficio); 045 802 7614 (laboratorio)

Mastroeni Isabella

isabella.mastroeni@univr.it +39 045 802 7089

Oliboni Barbara

barbara.oliboni@univr.it +39 045 802 7077

Posenato Roberto

roberto.posenato@univr.it +39 045 802 7967

Pravadelli Graziano

graziano.pravadelli@univr.it +39 045 802 7081

Quintarelli Elisa

elisa.quintarelli@univr.it +39 045 802 7852

Segala Roberto

roberto.segala@univr.it 045 802 7997

Setti Francesco

francesco.setti@univr.it +39 045 802 7804

Spoto Nicola Fausto

fausto.spoto@univr.it +39 045 8027940

Storti Silvia Francesca

silviafrancesca.storti@univr.it +39 045 802 7908

Tomazzoli Claudio

claudio.tomazzoli@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
12
B
(INF/01)
6
C
(FIS/01)
6
B
(ING-INF/05)
6
B
(INF/01)
12
B
(ING-INF/05)
ModulesCreditsTAFSSD
12
B
(ING-INF/05)
1 module to be chosen among the following
6
B
(INF/01)
Training
6
F
-
Final exam
6
E
-

2° Year

ModulesCreditsTAFSSD
12
B
(INF/01)
6
C
(FIS/01)
6
B
(ING-INF/05)
6
B
(INF/01)
12
B
(ING-INF/05)

3° Year

ModulesCreditsTAFSSD
12
B
(ING-INF/05)
1 module to be chosen among the following
6
B
(INF/01)
Training
6
F
-
Final exam
6
E
-

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

Teaching code

4S00035

Coordinatore

Claudia Daffara

Credits

6

Scientific Disciplinary Sector (SSD)

FIS/01 - EXPERIMENTAL PHYSICS

Language

Italian

Period

II semestre dal Mar 4, 2019 al Jun 14, 2019.

Learning outcomes

The course aims to provide the tools for the understanding of electromagnetism and optics phenomena in classical physics, from the basic physical principles to the methodologies for applying the physical laws to the solution of problems.
At the end of the course the student will have to demonstrate knowledge and understanding in applied contexts of the foundations that make up the functioning of an electromagnetic physical system; have the ability to apply the acquired knowledge and have understanding skills to model aspects of an electromagnetic physical problem or parts of a device; have the ability to broaden the knowledge to deepen topics of electromagnetism in an autonomous way.

Program

- ELECTROSTATICS IN VACUUM
Experimental facts. Electric charge. Structure of matter. Coulomb law. Electric field E. Work of the electric field. Electrostatic potential energy and electrostatic potential. Flux of the field E. Gauss law and applications. Discontinuities of the electric field. Differential equations of the electric field. Poisson and Laplace equations.
- ELECTROSTATICS IN CONDUCTORS
Conductors in equilibrium. Electrostatic induction. Electrostatic surface pressure. Cavity in a conductor. Electrostatic screening. Capacity. Capacitors.
- ELECTROSTATICS IN DIELECTRICS
Electric dipole. Dipole in external field E. Energy of a dipole. Uniform / non-uniform polarization. Linear dielectrics. Electrostatics equations in dielectrics. Field D "electric displacement".
- ELECTROSTATIC ENERGY
system of charges, system of conductors. Energy of a capacitor in vacuum and in dielectric media. Energy of the electric field. Motion of charges in electric field.
- ELECTRICAL CURRENTS
Electric current, electromotive force. Classical theory of electrical conduction. Continuity equation for the charge.
Ohm law, joule effect, resistors. Kirchoff laws, elementary circuits. Charge / discharge of a capacitor.
- MAGNETOSTATIC IN VACUUM
Experimental facts. Magnetic field B, F of Lorentz, II law of Laplace. Motion of charges in magnetic field. Hall effect, measure of B. Magnetic dipole. Dipole in external field B. Field B of stationary currents. Circulation Ampère law and applications. Discontinuities of the magnetic field. I law of Laplace. Field B of a moving charge. Solenoidal fields, concatenated flux. Differential equations of the magnetic field.
- TIME-VARYING FIELDS
Electromagnetic induction - experimental facts, flux law. Induced electric field and Faraday law. Lenz law. Energy balance. Mutual Inductance. Self-inductance, inductances. RL circuit.
Magnetic energy: intrinsic energy of the current, system of stationary currents. Energy of the magnetic field.
Maxwell equations in integral and local form. Displacement current and Ampère-Maxwell law. Radiation of a circuit.
- ELECTROMAGNETIC WAVES
Recalls on waves: transverse waves, longitudinal waves, harmonic wave, plane waves, spherical waves. D'Alembert wave equation. Maxwell equations in vacuum and the solution of e.m waves. Polarization. Speed ​​of light, energy transported, intensity. Polarization. Electromagnetic spectrum. Principles of Optics.

Bibliografia

Reference texts
Author Title Publishing house Year ISBN Notes
P. Mazzoldi, M. Nigro, C. Voci Elementi di Fisica Vol. 2 - Elettromagnetismo e Onde (Edizione 2) EdiSES 2007 9788879594783

Examination Methods

To pass the examination the students have to demonstrate:

- knowledge and understanding of the principles and the physical phenomena of classical electromagnetism
- to possess critical skills in the observation of electrical and magnetic phenomena with scientific method and adequate mathematical formalism
- to know how to apply the principles and the laws of physics to the different contexts for solving problems of electromagnetism.

Written examination (2 hours):
The exam includes
1) electromagnetism exercises (related to the exercises program carried out);
2) theory questions (related to the entire program).

Optional oral examination:
on the topics of the course program

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

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

Gestione carriere


Area riservata studenti


Attendance

As stated in point 25 of the Teaching Regulations for the A.Y. 2021/2022, attendance at the course of study is not mandatory.
Please refer to the Crisis Unit's latest updates for the mode of teaching.

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.