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. 2019/2020

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, 2019 Jan 31, 2020
II semestre Mar 2, 2020 Jun 12, 2020
Exam sessions
Session From To
Sessione invernale d'esame Feb 3, 2020 Feb 28, 2020
Sessione estiva d'esame Jun 15, 2020 Jul 31, 2020
Sessione autunnale d'esame Sep 1, 2020 Sep 30, 2020
Degree sessions
Session From To
Sessione Estiva Jul 15, 2020 Jul 15, 2020
Sessione Autunnale Oct 16, 2020 Oct 16, 2020
Sessione Autunnale Dicembre Dec 11, 2020 Dec 11, 2020
Sessione Invernale Mar 17, 2021 Mar 17, 2021
Holidays
Period From To
Festa di Ognissanti Nov 1, 2019 Nov 1, 2019
Festa dell'Immacolata Dec 8, 2019 Dec 8, 2019
Vacanze di Natale Dec 23, 2019 Jan 6, 2020
Vacanze di Pasqua Apr 10, 2020 Apr 14, 2020
Festa della Liberazione Apr 25, 2020 Apr 25, 2020
Festa del lavoro May 1, 2020 May 1, 2020
Festa del Santo Patrono May 21, 2020 May 21, 2020
Festa della Repubblica Jun 2, 2020 Jun 2, 2020
Vacanze estive Aug 10, 2020 Aug 23, 2020

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

Baruffi Maria Caterina

mariacaterina.baruffi@univr.it

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

Fiorini Paolo

paolo.fiorini@univr.it 045 802 7963

Fraccaroli Enrico

enrico.fraccaroli@univr.it 0458027048

Fummi Franco

franco.fummi@univr.it 045 802 7994

Geretti Luca

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

Giachetti Andrea

andrea.giachetti@univr.it +39 045 8027998

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

Migliorini Sara

sara.migliorini@univr.it +39 045 802 7908

Muradore Riccardo

riccardo.muradore@univr.it +39 045 802 7835

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

Quaglia Davide

davide.quaglia@univr.it +39 045 802 7811

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
6
A
(MAT/02)
6
A
(FIS/01)
Lingua inglese competenza linguistica - liv. B1 (completo)
6
E
-
ModulesCreditsTAFSSD
12
B
(INF/01)
6
C
(FIS/01)
6
B
(ING-INF/05)
6
C
(ING-INF/04)
12
B
(ING-INF/05)
ModulesCreditsTAFSSD
12
B
(ING-INF/05)
1 module to be chosen among the following
6
C
(INF/01)
6
C
(ING-INF/04)
Tirocinio
6
F
-
Prova finale
6
E
-

1° Year

ModulesCreditsTAFSSD
6
A
(MAT/02)
6
A
(FIS/01)
Lingua inglese competenza linguistica - liv. B1 (completo)
6
E
-

2° Year

ModulesCreditsTAFSSD
12
B
(INF/01)
6
C
(FIS/01)
6
B
(ING-INF/05)
6
C
(ING-INF/04)
12
B
(ING-INF/05)

3° Year

ModulesCreditsTAFSSD
12
B
(ING-INF/05)
1 module to be chosen among the following
6
C
(INF/01)
6
C
(ING-INF/04)
Tirocinio
6
F
-
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.




SPlacements in companies, public or private institutions and professional associations

Teaching code

4S003714

Credits

12

Coordinatore

Carlo Combi

Also offered in courses

The teaching is organized as follows:

Ingegneria del software

Credits

6

Period

See the unit page

Academic staff

See the unit page

Programmazione ii

Credits

6

Period

See the unit page

Academic staff

See the unit page

Learning outcomes

Programming II
The course will provide the ability to understand, develop and debug software written in an object-oriented programming language. It will also provide the knowledge for building software projects of middle size.

At the end, students will have to show their ability to understand software written in an object-oriented programming language, as well as the structure of a complex software project; to apply their knowledge and abilities to the independent development of software in an object-oriented program- ming language, organised as a middle-size project; to understand, autonomously, the use of tools and techniques for the development of software in various application contexts.

Software Engineering
The aim of this course is to provide the basic scientific and professional skills relate to software engi- neering. In particular, the course will focus on the different phases of software development and pro- duction: planning, design, modeling and specification, implementation, validation and test, evaluation and maintenance. The lab activities will provide skills required for the development of graphical user interfaces both in Java and Phyton.

At the end of the course, the student will have to show: her knowledge about the software develop- ment process and the related methodologies and techniques; her ability to apply the acquired knowledge to develop and analyse software systems, even considering graphical user interfaces with Java/Phyton; her skills in communicating and interacting with different stakeholders when designing, implementing, and using a software system in complex organizations; the capability of extending her knowledge and skills for autonomously continuing her studies related to software development tech- niques, even considering different application domains.

Program

------------------------
MM: INGEGNERIA DEL SOFTWARE
------------------------
------------------------ MM: Teoria ------------------------ ------------------------ MM: Teoria ed esercitazioni ------------------------ * Introduction to Software Engineering - Definition of Software Engineering - Professional software development - Software engineering ethics * Software Processes - Software process models - Process activities - Coping with change * Agile Software Development - Agile methods - Agile development techniques - The SCRUM methodology * Requirements Engineering - Functional and non-functional requirements - Requirements engineering processes - Requirements Engineering and UML Use Cases * Architectural Design - Architectural design decisions - Architectural views - Architectural patterns -- MVC -- Repository -- Client server -- Pipe and filter * OO Design and Implementation - OO basic concepts - The standard language UML 2 for software modeling -- Use Case diagrams -- Class diagrams -- Activity Diagrams -- Sequence diagrams - Design patterns -- Introduction -- Singleton -- Observer -- Template -- Iterator -- Factory -- Abstract factory -- Proxy -- Facade -- Decorator * Verification and Validation - Introduction - Inspection and test - Testing: unit test, integration test, user acceptance test * Software evolution and maintenance - Change Management - Legacy Systems - Software maintenance ------------------------ MM: Laboratorio ------------------------ - Introduction to Swing library for the development of graphical user interfaces in Java. - Introduction to TkInter, wxPython, pyGTK/PyGobject, and PyQt/PySide libraries for the development of graphical user interfaces in Python. - Introduction to Eclipse-Papyrus and StarUML tools for the development of UML projects. Teaching methods - Lecturing and practicing in computer laboratory. Didactical material (slides) and further exercise texts are available on the eLearning platform. The teacher is available for individual meeting in office hours. ------------------------ MM: Laboratorio ------------------------ - Introduction to Swing library for the development of graphical user interfaces in Java. - Introduction to TkInter libraries for the development of graphical user interfaces in Python. - Introduction to Eclipse-Papyrus and StarUML tools for the development of UML projects. Teaching methods Lecturing and practicing in a computer laboratory. Didactical material (slides) and further exercise texts are available on the eLearning platform. The teacher is available for individual meeting in office hours.
------------------------
MM: PROGRAMMAZIONE II
------------------------
------------------------ MM: Teoria ------------------------ Java and bytecode. Structure of classes. Arrays. Inheritance. Methods and late binding. Standard library and its basic classes. Exceptions. Input/output. Interfaces. Collection classes. ------------------------ MM: Laboratorio ------------------------ Java and bytecode. Structure of classes. Arrays. Inheritance. Methods and late binding. Standard library and its basic classes. Exceptions. Input/output. Interfaces. Collection classes.

Examination Methods

------------------------
MM: INGEGNERIA DEL SOFTWARE
------------------------
------------------------ MM: Teoria ------------------------ ------------------------ MM: Teoria ed esercitazioni ------------------------ The examination, for students both attending and not attending classes, consists of a project related to lab activities and of an oral examination. Such exam will allow one to show both his communication skills and his knowledge about Software Engineering. Student will also demonstrate their skills in applying their knowledge in "practical" software engineering tasks. ------------------------ MM: Laboratorio ------------------------ The examination consists of a project related to lab activities. The project has to be presented and discussed during the oral exam. ------------------------ MM: Laboratorio ------------------------ The examination consists of a project related to lab activities. The project has to be presented and discussed during the oral exam.
------------------------
MM: PROGRAMMAZIONE II
------------------------
------------------------ MM: Teoria ------------------------ Computerized exam on the full programme. ------------------------ MM: Laboratorio ------------------------ See the theory part of the course.

Bibliografia

Reference texts
Author Title Publishing house Year ISBN Notes
Docente del corso Copia gratuita delle slides proiettate durante le lezioni.  
Ian Sommerville Ingegneria del software - 10/Ed. (Edizione 10) Pearson 2017 9788891902245
Martin Fowler UML Distilled (Edizione 4) Pearson - Addison Wesley 2010 9788871925981

Type D and Type F activities

1° periodo di lezioni From 9/30/19 To 12/14/19
years Modules TAF Teacher
The fashion lab (1 ECTS) D Maria Caterina Baruffi (Coordinatore)
I semestre From 10/1/19 To 1/31/20
years Modules TAF Teacher
Control theory D Riccardo Muradore (Coordinatore)
Biomedical Data and Signal Processing D Silvia Francesca Storti (Coordinatore)
Python programming language D Maurizio Boscaini (Coordinatore)
II semestre From 3/2/20 To 6/12/20
years Modules TAF Teacher
CyberPhysical Laboratory D Andrea Calanca (Coordinatore)
C++ Programming Language D Federico Busato (Coordinatore)
LaTeX Language D Enrico Gregorio (Coordinatore)
Matlab-Simulink programming D Bogdan Mihai Maris (Coordinatore)
List of courses with unassigned period
years Modules TAF Teacher
Corso Europrogettazione D Not yet assigned
The course provides an introduction to blockchain technology. It focuses on the technology behind Bitcoin, Ethereum, Tendermint and Hotmoka. D Matteo Cristani

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.