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.
Course calendar
The Academic Calendar sets out the degree programme lecture and exam timetables, as well as the relevant university closure dates..
Period | From | To |
---|---|---|
I semestre | Oct 1, 2020 | Jan 29, 2021 |
II semestre | Mar 1, 2021 | Jun 11, 2021 |
Session | From | To |
---|---|---|
Sessione invernale d'esame | Feb 1, 2021 | Feb 26, 2021 |
Sessione estiva d'esame | Jun 14, 2021 | Jul 30, 2021 |
Sessione autunnale d'esame | Sep 1, 2021 | Sep 30, 2021 |
Session | From | To |
---|---|---|
Sessione Estiva | Jul 19, 2021 | Jul 19, 2021 |
Sessione Autunnale | Oct 19, 2021 | Oct 19, 2021 |
Sessione Autunnale Dicembre | Dec 7, 2021 | Dec 7, 2021 |
Sessione Invernale | Mar 17, 2022 | Mar 17, 2022 |
Period | From | To |
---|---|---|
Festa dell'Immacolata | Dec 8, 2020 | Dec 8, 2020 |
Vacanze Natalizie | Dec 24, 2020 | Jan 3, 2021 |
Epifania | Jan 6, 2021 | Jan 6, 2021 |
Vacanze Pasquali | Apr 2, 2021 | Apr 5, 2021 |
Santo Patrono | May 21, 2021 | May 21, 2021 |
Festa della Repubblica | Jun 2, 2021 | Jun 2, 2021 |
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.
Academic staff
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.
1° Year
Modules | Credits | TAF | SSD |
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Computer Architecture
2° Year activated in the A.Y. 2021/2022
Modules | Credits | TAF | SSD |
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3° Year activated in the A.Y. 2022/2023
Modules | Credits | TAF | SSD |
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Modules | Credits | TAF | SSD |
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Computer Architecture
Modules | Credits | TAF | SSD |
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Modules | Credits | TAF | SSD |
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Modules | Credits | TAF | SSD |
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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.
Programming II and Software Engineering - INGEGNERIA DEL SOFTWARE (2021/2022)
Teaching code
4S003714
Credits
6
Coordinator
Not yet assigned
Language
Italian
Also offered in courses:
- Data-intensive software systems - INGEGNERIA DEL SOFTWARE of the course Bachelor's degree in Bioinformatics
- Data-intensive software systems - INGEGNERIA DEL SOFTWARE of the course Bachelor's degree in Bioinformatics
- Data-intensive software systems - INGEGNERIA DEL SOFTWARE of the course Bachelor's degree in Bioinformatics
Scientific Disciplinary Sector (SSD)
INF/01 - INFORMATICS
The teaching is organized as follows:
Teoria
Laboratorio
Learning outcomes
------------------------
MM: Theory
------------------------
The aim of this course is to provide the basic scientific and professional skills relate to software engineering. In particular, the course will focus on the different phases of software development and production: 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 development 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 techniques, even considering different application domains.
------------------------
MM: Lab
------------------------
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, with an emphasis on the development of graphical user interfaces in Java.
Program
------------------------ MM: Theory and Exercises ------------------------
* 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
-- 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: Lab ------------------------
Lesson 1:
- Introduction to IDE tools and to Eclipse-Papyrus and StarUML tools for the development of UML projects.
Lesson 2:
- Introduction to JavaFX for the development of graphical user interfaces in Java.
Lesson 3:
- Advanced aspects of JavaFX.
Lesson 4:
- Exercises with JavaFX.
Lesson 5:
- (Bioinformatics Students) Database access from applications written in Java.
- (Computer Science Students) Access to files in Java: the JSON format.
Lesson 6:
- Exercises with JavaFX and access to data
Examination Methods
------------------------ MM: Theory and Exercises ------------------------
The examination, for a student, either attending and not attending classes, consists of a project related to lab activities and of an oral examination. Such an exam will allow one to show both his communication skills and his knowledge about Software Engineering. The student will also demonstrate their skills in applying their knowledge in "practical" software engineering tasks.
------------------------ MM: Lab ------------------------
The examination consists of a project related to lab activities. The project has to be presented and discussed during the oral exam.
Type D and Type F activities
Le attività formative in ambito D o F comprendono gli insegnamenti impartiti presso l'Università di Verona o periodi di stage/tirocinio professionale.
Nella scelta delle attività di tipo D, gli studenti dovranno tener presente che in sede di approvazione si terrà conto della coerenza delle loro scelte con il progetto formativo del loro piano di studio e dell'adeguatezza delle motivazioni eventualmente fornite.
years | Modules | TAF | Teacher |
---|---|---|---|
3° | Control theory | D |
Riccardo Muradore
(Coordinator)
|
3° | Biomedical Data and Signal Processing | D |
Silvia Francesca Storti
(Coordinator)
|
3° | Matlab-Simulink programming | D |
Bogdan Mihai Maris
(Coordinator)
|
years | Modules | TAF | Teacher |
---|---|---|---|
3° | Introduction to 3D printing | D |
Franco Fummi
(Coordinator)
|
3° | Python programming language | D |
Vittoria Cozza
(Coordinator)
|
3° | HW components design on FPGA | D |
Franco Fummi
(Coordinator)
|
3° | Rapid prototyping on Arduino | D |
Franco Fummi
(Coordinator)
|
3° | Protection of intangible assets (SW and invention)between industrial law and copyright | D |
Roberto Giacobazzi
(Coordinator)
|
years | Modules | TAF | Teacher | |
---|---|---|---|---|
1° | Subject requirements: mathematics | D |
Rossana Capuani
|
|
3° | The fashion lab (1 ECTS) | D |
Maria Caterina Baruffi
(Coordinator)
|
|
3° | LaTeX Language | D |
Enrico Gregorio
(Coordinator)
|
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 also via the Univr app.
Graduation
List of thesis 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 modes and venues
As stated in the Teaching Regulations, attendance at the course of study is not mandatory.
Part-time enrolment is permitted. Find out more on the Part-time enrolment possibilities page.
The course's teaching activities take place in the Science and Engineering area, which consists of the buildings of Ca‘ Vignal 1, Ca’ Vignal 2, Ca' Vignal 3 and Piramide, located in the Borgo Roma campus.
Lectures are held in the classrooms of Ca‘ Vignal 1, Ca’ Vignal 2 and Ca' Vignal 3, while practical exercises take place in the teaching laboratories dedicated to the various activities.