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, 2013 | Jan 31, 2014 |
| II semestre | Mar 3, 2014 | Jun 13, 2014 |
| Session | From | To |
|---|---|---|
| Sessione straordinaria | Feb 3, 2014 | Feb 28, 2014 |
| Sessione estiva | Jun 16, 2014 | Jul 31, 2014 |
| Sessione autunnale | Sep 1, 2014 | Sep 30, 2014 |
| Session | From | To |
|---|---|---|
| Sessione autunnale | Oct 16, 2013 | Oct 16, 2013 |
| Sessione straordinaria | Dec 10, 2013 | Dec 10, 2013 |
| Sessione invernale | Mar 19, 2014 | Mar 19, 2014 |
| Sessione estiva | Jul 14, 2014 | Jul 14, 2014 |
| Period | From | To |
|---|---|---|
| Vacanze Natalizie | Dec 22, 2013 | Jan 6, 2014 |
| Vacanze di Pasqua | Apr 17, 2014 | Apr 22, 2014 |
| Festa del S. Patrono S. Zeno | May 21, 2014 | May 21, 2014 |
| Vacanze Estive | Aug 11, 2014 | Aug 15, 2014 |
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
Guarnieri Valerio
valerio.guarnieri@univr.it +39 045 802 7085
Volpe Marco
marco.volpe@univr.it +39 045 802 7814Study 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 |
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| 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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2° Year
| Modules | Credits | TAF | SSD |
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3° Year
| 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 - IMMAGINI (2013/2014)
Teaching code
4S000019
Teacher
Credits
6
Also offered in courses
Scientific Disciplinary Sector (SSD)
INF/01 - INFORMATICS
Language
Italian
Period
II semestre dal Mar 3, 2014 al Jun 13, 2014.
To show the organization of the course that includes this module, follow this link: Course organization
Learning outcomes
The course is meant to the acquisition of the main theoretical and practical tools that are necessary for image processing, including both natural and medical images.
It is recommended to be familiar with the main concepts that are introduced in the Signal part, in particular Fourier (time/frequency) analysis, linear time-invariant systems and digital filtering.
The whole pipeline from image acquisition to image rendering will be considered, and the main theorical and practical aspects will be treated.
Laboratory sessions will be organized in order to "put in practice" what is treated in the course covering the entire pipeline in order to provide the student a complete view on the pipeline as well as good desing and implementation capabilities.
Program
- Introduction to image processing
- The acquisition pipeline (sampling, quantization)
- Image enhancement (in both spatial and frequency domain)
- Morphological image processing
- Color imaging
- Image segmentation (edge-based, region-based)
- Elements of pattern recognition
Examination Methods
Theory: written or oral exam (depending on the number of students)
Lab.:
- evaluation of the lab. sessions during the course
- Lab. specific questions during the exam
- Project only in case of diploma project as an alternative to questions
Teaching materials
-
Lesson 1
(pdf, it, 15936 KB, 10/03/14)
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Lesson 10
(pdf, it, 2827 KB, 10/04/14)
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Lesson 11
(pdf, it, 7724 KB, 10/04/14)
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Lesson 12
(pdf, it, 28447 KB, 17/04/14)
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Lesson 12.5
(pdf, it, 4064 KB, 10/05/14)
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Lesson 2
(pdf, it, 6022 KB, 18/03/14)
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Lesson 3
(pdf, it, 3119 KB, 18/03/14)
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Lesson 4
(pdf, it, 5167 KB, 18/03/14)
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Lesson 5
(pdf, it, 4011 KB, 22/03/14)
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Lesson 6
(pdf, it, 6516 KB, 22/03/14)
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Lesson 7
(pdf, it, 2127 KB, 31/03/14)
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Lesson 8
(pdf, it, 4960 KB, 31/03/14)
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Lesson 9
(pdf, it, 5631 KB, 05/04/14)
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.