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, 2018 | Jan 31, 2019 |
| II semestre | Mar 4, 2019 | Jun 14, 2019 |
| Session | From | To |
|---|---|---|
| Sessione invernale d'esame | Feb 1, 2019 | Feb 28, 2019 |
| Sessione estiva d'esame | Jun 17, 2019 | Jul 31, 2019 |
| Sessione autunnale d'esame | Sep 2, 2019 | Sep 30, 2019 |
| Session | From | To |
|---|---|---|
| Sessione Estiva | Jul 17, 2019 | Jul 17, 2019 |
| Sessione Autunnale | Nov 20, 2019 | Nov 20, 2019 |
| Sessione Invernale | Mar 17, 2020 | Mar 17, 2020 |
| Period | From | To |
|---|---|---|
| Sospensione attività didattica | Nov 2, 2018 | Nov 3, 2018 |
| Vacanze di Natale | Dec 24, 2018 | Jan 6, 2019 |
| Vacanze di Pasqua | Apr 19, 2019 | Apr 28, 2019 |
| Festa del Santo Patrono | May 21, 2019 | May 21, 2019 |
| Vacanze estive | Aug 5, 2019 | Aug 18, 2019 |
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
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 |
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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 for bioinformatics (2018/2019)
Teaching code
4S003710
Credits
12
Coordinatore
Scientific Disciplinary Sector (SSD)
INF/01 - INFORMATICS
Language
Italian
The teaching is organized as follows:
Immagini teoria
Immagini laboratorio
Segnali teoria
Segnali laboratorio
Learning outcomes
The purpose of the course is to introduce the main theoretical and practical tools that are necessary for signal and image processing, including both natural and medical images.
At the end of the course, the students will be able to apply the methodologies studied and employ image processing software tools for tackling some typical tasks in the analysis of medical and biomedical images.
Program
PART1: SIGNALS
- Introduction to signal and image processing
- Elements of continuous time and discrete time systems
- Fourier transform (Fourier series, continuous and discrete time Fourier transforms (DFT, FFT)) in one dimension
- Nyquist theorem
- Quantization
- Digital filtering (low-pass, high-pass, linear, non-linear)
- Fourier transform (Fourier series, continuous and discrete time Fourier transforms (DFT, FFT)) in two dimensions
- Image enhancement in spatial and frequency domains
- Image segmentation (edge-based, region-based)
- Applications
Examination Methods
The lab. exam consists in an exercise to be implemented in Matlab. This does not contribute to the final score. The theory exam is in written form.
Both the exams must be passed during the same examination session.
Bibliografia
| Activity | Author | Title | Publishing house | Year | ISBN | Notes |
|---|---|---|---|---|---|---|
| Segnali teoria | W.K. Pratt | Digital Image Processing (Edizione 4) | Wiley Interscience | 2007 | 978-0-471-76777-0 | |
| Segnali teoria | Rafael C. Gonzalez and Richard E. Woods | Digital Image Processing (Edizione 4) | Prentice Hall College Div | 2017 | 0133356728 | |
| Segnali teoria | B.P. Lathi | Signal Processing and Linear Systems | Berkeley-Cambridge | 1998 | 0-941413-35-7 |
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.
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.
Graduation
List of theses and work experience proposals
| Stage | Research area |
|---|---|
| Correlated mutations | Various topics |
Gestione carriere
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.