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 4, 2010 Jan 31, 2011
II semestre Mar 1, 2011 Jun 15, 2011
Exam sessions
Session From To
Sessione straordinaria Feb 1, 2011 Feb 28, 2011
Sessione estiva Jun 16, 2011 Jul 29, 2011
Sessione autunnale Sep 1, 2011 Sep 30, 2011
Degree sessions
Session From To
Sessione autunnale Oct 20, 2010 Oct 20, 2010
Sessione straordinaria Dec 14, 2010 Dec 14, 2010
Sessione invernale Mar 23, 2011 Mar 23, 2011
Sessione estiva Jul 18, 2011 Jul 18, 2011
Holidays
Period From To
All Saints Nov 1, 2010 Nov 1, 2010
National holiday Dec 8, 2010 Dec 8, 2010
Christmas holidays Dec 22, 2010 Jan 6, 2011
Easter holidays Apr 22, 2011 Apr 26, 2011
National holiday Apr 25, 2011 Apr 25, 2011
Labour Day May 1, 2011 May 1, 2011
Local holiday May 21, 2011 May 21, 2011
National holiday Jun 2, 2011 Jun 2, 2011
Summer holidays Aug 8, 2011 Aug 15, 2011

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 L M P Q S V Z

Belussi Alberto

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

Bicego Manuele

symbol email manuele.bicego@univr.it symbol phone-number +39 045 802 7072

Calanca Andrea

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

Canevari Giacomo

symbol email giacomo.canevari@univr.it symbol phone-number +390458027979

Carra Damiano

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

Castellani Umberto

symbol email umberto.castellani@univr.it symbol phone-number +39 045 802 7988

Castellini Alberto

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

Cipriani Alessio

symbol email alessio.cipriani@univr.it symbol phone-number 049-8027932

Combi Carlo

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

Cozza Vittoria

symbol email vittoria.cozza@univr.it

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

Dalla Preda Mila

symbol email mila.dallapreda@univr.it

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

Gregorio Enrico

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

Laking Rosanna Davison

symbol email rosanna.laking@univr.it

Masini Andrea

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

Mastroeni Isabella

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

Migliorini Sara

symbol email sara.migliorini@univr.it symbol phone-number +39 045 802 7908

Petrakis Iosif

symbol email iosif.petrakis@univr.it symbol phone-number +390458027973

Quaglia Davide

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

Quintarelli Elisa

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

Sala Pietro

symbol email pietro.sala@univr.it symbol phone-number 0458027850

Segala Roberto

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

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

Visentin Francesco

symbol email francesco.visentin@univr.it symbol phone-number +39 045 802 7964

Zorzi Margherita

symbol email margherita.zorzi@univr.it symbol phone-number +39 045 802 7908

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. 2011/2012

ModulesCreditsTAFSSD
12
B
INF/01
6
C
FIS/01
Un insegnamento a scelta tra i seguenti:
6
B
ING-INF/05
12
B
ING-INF/05

3° Year  activated in the A.Y. 2012/2013

ModulesCreditsTAFSSD
12
B
INF/01
Un insegnamento a scelta tra i seguenti:
Prova finale
6
E
-
activated in the A.Y. 2011/2012
ModulesCreditsTAFSSD
12
B
INF/01
6
C
FIS/01
Un insegnamento a scelta tra i seguenti:
6
B
ING-INF/05
12
B
ING-INF/05
activated in the A.Y. 2012/2013
ModulesCreditsTAFSSD
12
B
INF/01
Un insegnamento a scelta tra i seguenti:
Prova finale
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

4S000019

Credits

6

Also offered in courses:

Language

Italian

Scientific Disciplinary Sector (SSD)

INF/01 - INFORMATICS

Period

I semestre dal Oct 1, 2012 al Jan 31, 2013.

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

Learning outcomes

The course objective is to give students the mathematical tools required for the analysis and modeling of linear, time-invariant (LTI) systems, and of the input/output signals to an LTI system. The model will allow students to study the main system properties and to address the general concepts of controller and filters to perform simple control actions on the dynamic system and filter operations on the input/output signals.
The mathematical tools will be based on analysis methods in the time domain, as well as of the complex variables s, z and the frequency of the input/output signals. Analysis and synthesis will be carried out both for continuous and discrete time systems and signals. The theoretical concepts acquired during the course will be consolidated with exercise sessions addressing the solution of basic problems with analytical approach and with numerical simulations.

NOTE: to achieve good results in the course, students are expected to be familiar with the following concepts:
- Calculus I (concepts of differential, derivative, and function analysis)
- Calculus II (solution of differential and integral equations)
- Basics of complex number analysis
- Physics I and II (basic laws of rigid body dynamics and electromagnetism).

Program

- Linear time invariant systems
- Impulse response and transfer function
- Laplace transform
- Fourier transform
- Bode diagram
- Discrete time signals and systems
- Sampling theorem
- Z-transform
- Filtering
- Spectral analysis
- Performance definition of dynamical systems
- Basic concepts of controller system design
- Root Locus
- PID controller
- Controller design using PID and Root Locus
- Basic concepts of filtering
- Examples of filter design in time and frequency domains

Examination Methods

The exam consists of written and oral tests. The validity of the written test is one year, within which the student can take the oral test, on an appointment basis. During the course two optional intermediate written tests will be offered, that can replace, in full or partially, 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