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.
Should you have any doubts or questions, please check the Enrolment FAQs
Academic staff
+39 045 802 7980
maurizio.boscaini@univr.it
alberto.burato@univr.it
matteo.calgaro_01@univr.it
vittoria.cozza@univr.it
mila.dallapreda@univr.it
michele.ginesi@univr.it
rosanna.laking@univr.it
stefano.spellini@univr.it
claudio.tomazzoli@univr.it
franco.zivcovich@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.
| Modules | Credits | TAF | SSD |
|---|
Computer Architecture
| Modules | Credits | TAF | SSD |
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| Modules | Credits | TAF | SSD |
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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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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.
Signal and image processing (2022/2023)
Teaching code
4S000019
Credits
6
Language
Italian
Scientific Disciplinary Sector (SSD)
INF/01 - INFORMATICS
The teaching is organized as follows:
Teoria
Laboratorio
Learning objectives
The aim of this course is to provide the basic knowledge of methods and models for biomedical signal and image processing, developing the ability to analyze and solve problems of interest, mainly in the biomedical field. Each technique presented will be accompanied by applications on simulated and real signals. At the end of the course, the student will be able to show knowledge of the main methods of biomedical signals and image processing. They will possess the ability to formulate, ana- lyze and solve problems of interest in bioengineering, through the acquired theoretical and practical basic knowledge. Finally, the student will be able to evaluate the traditional methods in the biomedical sciences in order to devise new approaches to methodological problems with clinical reversibility.
Prerequisites and basic notions
Mathematical analysis (series, sequences, derivatives, integrals) Probability and statistical calculations (random variables, known - Gaussian and exponential distributions)
Program
- Introduction to the signal and image processing
- Preliminary mathematics
- Signals and their taxonomy
- Fourier analysis, 1D and 2D
- Methods for improving image quality (image enhancement) in both the spatial and frequency domains
- Extraction of image contours
- Extraction of image regions
- Morphological operators
- Representation and processing of color images
Bibliography
Didactic methods
“The teacher / teachers will use: a) frontal lessons; b) laboratory sessions (MATLAB) c) exercises on the blackboard All these will be recorded to be used also at a later time. Mixed mode (zoom) will NOT be present
Learning assessment procedures
Written exam, lasting 2 hours. The test consists in solving analytical exercises, in producing answers to open questions, and, as regards the laboratory part, in writing MATLAB code to solve a specific problem. It is therefore not necessary to do any separate laboratory tests. Exam methods are NOT differentiated between attending and non-attending students and for Erasmus students. The course does NOT include intermediate tests.
Evaluation criteria
Ability to identify an effective and theoretically correct technical solution to a signal and image processing problem. Ability to discursively organize knowledge; critical reasoning skills on the study carried out; quality of exposure, competence in the use of specialized vocabulary. The evaluation is expressed out of thirty.
Criteria for the composition of the final grade
24 points max for the theory part, 6 points max for the laboratory part. Honors are at the discretion of the teacher, and necessarily requires that in both modules (theory and laboratory) the maximum scores have been obtained
Exam language
italiano
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
(Coordinatore)
|
| 3° | Biomedical Data and Signal Processing | D |
Silvia Francesca Storti
(Coordinatore)
|
| 3° | Biomedical Data and Signal Processing | D |
Silvia Francesca Storti
(Coordinatore)
|
| 3° | Matlab-Simulink programming | D |
Bogdan Mihai Maris
(Coordinatore)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 3° | Introduction to 3D printing | D |
Franco Fummi
(Coordinatore)
|
| 3° | Python programming language | D |
Vittoria Cozza
(Coordinatore)
|
| 3° | HW components design on FPGA | D |
Franco Fummi
(Coordinatore)
|
| 3° | Rapid prototyping on Arduino | D |
Franco Fummi
(Coordinatore)
|
| 3° | Protection of intangible assets (SW and invention)between industrial law and copyright | D |
Roberto Giacobazzi
(Coordinatore)
|
| years | Modules | TAF | Teacher | |
|---|---|---|---|---|
| 1° | Subject requirements: mathematics | D |
Rossana Capuani
|
|
| 3° | The fashion lab (1 ECTS) | D |
Maria Caterina Baruffi
(Coordinatore)
|
|
| 3° | LaTeX Language | D |
Enrico Gregorio
(Coordinatore)
|
|
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.
Erasmus+ and other experiences abroad
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 |
Attendance
As stated in the Teaching Regulations for the A.Y. 2022/2023, attendance at the course of study is not mandatory.
Please refer to the Crisis Unit's latest updates for the mode of teaching.
