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, 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 Enrollment FAQs

Academic staff

B C D F G M O P Q S T U 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

Bonacina Maria Paola

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

Boscaini Maurizio

symbol email maurizio.boscaini@univr.it

Busato Federico

symbol email federico.busato@univr.it

Calanca Andrea

symbol email andrea.calanca@univr.it symbol phone-number +39 045 802 7847

Carra Damiano

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

Castellini Alberto

symbol email alberto.castellini@univr.it symbol phone-number +39 045 802 7908

Combi Carlo

symbol email carlo.combi@univr.it symbol phone-number +390458027985

Cristani Matteo

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

Cristani Marco

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

Daffara Claudia

symbol email claudia.daffara@univr.it symbol phone-number +39 045 802 7942

Dall'Alba Diego

symbol email diego.dallalba@univr.it symbol phone-number +39 045 802 7074

Danese Alessandro

symbol email alessandro.danese@univr.it symbol phone-number 045 802 7048

Di Pierro Alessandra

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

Fummi Franco

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

Geretti Luca

symbol email luca.geretti@univr.it symbol phone-number +39 045 802 7850

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

Maris Bogdan Mihai

symbol email bogdan.maris@univr.it symbol phone-number +39 045 802 7074

Marzola Pasquina

symbol email pasquina.marzola@univr.it symbol phone-number 045 802 7816 (ufficio); 045 802 7614 (laboratorio)

Mastroeni Isabella

symbol email isabella.mastroeni@univr.it symbol phone-number +390458027089

Oliboni Barbara

symbol email barbara.oliboni@univr.it symbol phone-number +39 045 802 7077

Posenato Roberto

symbol email roberto.posenato@univr.it symbol phone-number +39 045 802 7967

Pravadelli Graziano

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

Quintarelli Elisa

symbol email elisa.quintarelli@univr.it symbol phone-number +390458027852

Segala Roberto

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

Setti Francesco

symbol email francesco.setti@univr.it symbol phone-number +39 045 802 7804

Spoto Nicola Fausto

symbol email fausto.spoto@univr.it symbol phone-number +39 045 8027940

Storti Silvia Francesca

symbol email silviafrancesca.storti@univr.it symbol phone-number +39 045 802 7850

Tomazzoli Claudio

symbol email claudio.tomazzoli@univr.it
UgoliniSimone

Ugolini Simone

symbol email simone.ugolini@univr.it
Zoppello,  May 3, 2019

Zoppello Marta

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. 2019/2020

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

3° Year  activated in the A.Y. 2020/2021

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
-
activated in the A.Y. 2019/2020
ModulesCreditsTAFSSD
12
B
INF/01
6
C
FIS/01
6
B
ING-INF/05
12
B
ING-INF/05
activated in the A.Y. 2020/2021
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.




S Placements in companies, public or private institutions and professional associations

Teaching code

4S00038

Credits

6

Language

Italian

Scientific Disciplinary Sector (SSD)

FIS/01 - EXPERIMENTAL PHYSICS

Period

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

Learning outcomes

The course aims to provide students with an introduction to the experimental method and the basics of classical mechanics and thermodynamics.

Upon completion of the course:
students will be able to demonstrate knowledge and understanding of the laws of classical mechanics and thermodynamics;
students will be able to apply the acquired knowledge and understanding skills to solve problems of mechanics and thermodynamics;
students will have the capability to apply the fundamental concepts of classical mechanics and thermodynamics to the resolution of practical problems that they will meet during forthcoming studies;
students will develop the skills required to continue the studies in an autonomous way in those disciplines pertaining to the graduation in Computer Science that require the application and knowledge of the laws of Physics;

Program

1- Physics and measurement. Standards of lenght, mass and time. Dimensional analysis, Conversion of units. Vector and scalar quantities. Components of a vector and unit vectors. Properties of vectors. The scalar and vector products of two vectors.
2- Motion in one dimension. Position, velocity and speed. Particle under constant velocity. Acceleration. Motion diagrams. Particle under constant acceleration. Freely falling object. Motion in two dimensions. Position velocity and acceleration vectors. Two dimensional motion with constant acceleration. Projectile motion. Particle in uniform circular motion. Tangential and radial acceleration. Relative velocity and relative acceleration.
3- The Laws of Motion: The concept of force. Newton’s first law and inertial frames. Mass. Newton’s second law. The gravitational and electrostatic forces. The gravitational force and weight. Newton’s third law. Forces of friction. Newton’s second law for a particle under uniform circular motion. Non uniform circular motion. Motion in accelerated frames. Motion in the presence of resistive forces.
4- Energy and work. Work done by a constant force. Work done by a varying force. Kinetic energy and the work-kinetic energy theorem. Potential energy. Conservative and non conservative forces. Relationship between conservative forces and potential energy. Energy diagrams and equilibrium of a system. Conservation of energy for a non isolated system and for an isolated system. Situations involving kinetic friction. Changes in mechanical energy for non conservative forces. Power.
5- Linear momentum and collisions. Linear momentum and its conservation. Collisions in one dimension. Collisions in two dimensions. The center of mass. Systems of many particles. Rocket propulsion.
6- Rotation of a rigid object about a fixed axis. Angular position, velocity and acceleration. Rigid object under constant angular acceleration. Angular and translational quantities. Rotational kinetic energy. Moments of Inertia. Torque. Rigid object under a net torque. Energy consideration in rotational motion. Angular momentum. Angular momentum for a rigid object. Angular momentum for an isolated system.
7- Newton’s law of universal gravitation. Free-fall acceleration and the gravitational force. Kepler’s laws and the motion of planets. The gravitational field. Gravitational potential energy.
8- Fluid Mechanics. Pressure. Variation of pressure with depth. Pressure measurements. Archimede’s principle. Fluid dynamics. Bernoulli’s equation.
9- Oscillatory motion. Motion of an object attached to a spring. Particle in simple harmonic motion. Energy of the simple harmonic oscillator. Comparing simple harmonic motion with uniform circular motion. The pendulum. Damped and forced oscillations.
10- Thermodynamics. Temperature and the zeroth law of thermodynamics. Thermometers and the Celsius temperature scale. The constant-volume gas thermometer and the absolute temperature scale. Thermal expansion. Macroscopic description of an ideal gas. Heat and internal energy. Specific heat and calorimetry. Work and heat in thermodynamic processes. The first law of Thermodynamics. Heat engines and the second law of thermodynamics. Reversible and irreversible processes. The Carnot engine. Entropy.

Reference texts
Author Title Publishing house Year ISBN Notes
Serway Jewett Fisica per Scienze ed Ingegneria volume primo (Edizione 5) EdiSES srl 2015 978-88-7959-834-7

Examination Methods

Written test consisting of exercises on the topics covered during the course and some multiple choice questions. The witten test can be followed by an oral exam (optional), which aims to acquire, if necessary, further elements for evaluation of students and eventually clarify aspects of the written test.

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.

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 dell'analisi dei dati Various topics

Attendance

As stated in the Teaching Regulations for the A.Y. 2022/2023, attendance at the course of study is not mandatory.
 


Career management


Student login and resources


Erasmus+ and other experiences abroad