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. 2017/2018

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 sem. Oct 2, 2017 Jan 31, 2018
II sem. Mar 1, 2018 Jun 15, 2018
Exam sessions
Session From To
Sessione invernale d'esame Feb 1, 2018 Feb 28, 2018
Sessione estiva d'esame Jun 18, 2018 Jul 31, 2018
Sessione autunnale d'esame Sep 3, 2018 Sep 28, 2018
Degree sessions
Session From To
Sessione di laurea estiva Jul 18, 2018 Jul 18, 2018
Sessione di laurea autunnale Nov 22, 2018 Nov 22, 2018
Sessione di laurea invernale Mar 20, 2019 Mar 20, 2019
Holidays
Period From To
Christmas break Dec 22, 2017 Jan 7, 2018
Easter break Mar 30, 2018 Apr 3, 2018
Patron Saint Day May 21, 2018 May 21, 2018
Vacanze estive Aug 6, 2018 Aug 19, 2018

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 L M O P Q S T U

Belussi Alberto

alberto.belussi@univr.it +39 045 802 7980
Foto,  February 9, 2017

Bloisi Domenico Daniele

domenico.bloisi@univr.it

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

Combi Carlo

carlo.combi@univr.it 045 802 7985

Daffara Claudia

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

Dalla Preda Mila

mila.dallapreda@univr.it

Di Pierro Alessandra

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

Fiorini Paolo

paolo.fiorini@univr.it 045 802 7963

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

Gobbi Bruno

bruno.gobbi@univr.it

Gregorio Enrico

Enrico.Gregorio@univr.it 045 802 7937

Lora Michele

michele.lora@univr.it

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

Menegaz Gloria

gloria.menegaz@univr.it +39 045 802 7024

Mogavero Fabio

fabio.mogavero@univr.it

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

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

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)
12
B
(ING-INF/05)
6
B
(INF/01)
ModulesCreditsTAFSSD
12
B
(ING-INF/05)
One course 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)
12
B
(ING-INF/05)
6
B
(INF/01)

3° Year

ModulesCreditsTAFSSD
12
B
(ING-INF/05)
One course 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

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

I sem.

Academic staff

Nicola Fausto Spoto

Learning outcomes

------------------------
MM: INGEGNERIA DEL SOFTWARE
------------------------
------------------------ MM: Teoria ed esercitazioni ------------------------
The course introduces the basic scientific and professional notions of software engineering, addressing in particular the different phases of the software development process: planning, design, modeling and specification, implementation, testing and validation, evaluation, maintenance. The programming projects carried out in the lab complement the theory lectures with the design, documentation and realization of a software. At the end of the course, the student will have acquired all the basic knowledge related to software engineering and will be able to apply it in the design and implementation of software systems. He will also be able to interact with all the stakeholders, from the requirement elicitation to the software maintenance.
------------------------ MM: Laboratorio ------------------------
The aim of this module is to support the student during the planning, documentation, and implementation of a software application using the techniques introduces during the theory course.
------------------------
MM: PROGRAMMAZIONE II
------------------------
The goal of this module is to let students learn Java and object-oriented programming, together with programming techniques that are more advanced than those described in the Programming I course. At the end of the course, students will be able to write nontrivial algorithms in an object-oriented programming language and understand third-party object-oriented code.

Program

------------------------
MM: INGEGNERIA DEL SOFTWARE
------------------------
------------------------ 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: PROGRAMMAZIONE II
------------------------
Java and bytecode Structure of classes Arrays Inheritance Methods and late binding Standard library and some of its basic classes Exceptions Input/output Interfaces Collection classes

Examination Methods

------------------------
MM: INGEGNERIA DEL SOFTWARE
------------------------

------------------------ 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: PROGRAMMAZIONE II
------------------------
Written examination about the development of Java code. Students will have to complete the implementation of some Java classes. The exam will be evaluated with up to 30 points, on the basis of the general correctness of the code, both from a semantic and syntactic perspective.

Bibliografia

Reference texts
Author Title Publishing house Year ISBN Notes
Ian Sommerville Ingegneria del software - 10/Ed. (Edizione 10) Pearson 2017 9788891902245
Martin Fowler UML Distilled (Edizione 4) Pearson - Addison Wesley 2010 9788871925981
Claudio De Sio Cesari Manuale di Java 8. Programmazione orientata agli oggetti con Java standard edition 8 (Edizione 1) Hoepli 2014 8820362910

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.