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 sem. | Oct 2, 2017 | Jan 31, 2018 |
| II sem. | Mar 1, 2018 | Jun 15, 2018 |
| 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 |
| 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 |
| 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.
Should you have any doubts or questions, please check the Enrolment FAQs
Academic staff
Bloisi Domenico Daniele
domenico.bloisi@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 |
|---|
| Modules | Credits | TAF | SSD |
|---|
| Modules | Credits | TAF | SSD |
|---|
1° Year
| Modules | Credits | TAF | SSD |
|---|
2° Year
| Modules | Credits | TAF | SSD |
|---|
3° Year
| Modules | Credits | TAF | SSD |
|---|
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 (2017/2018)
Teaching code
4S003710
Credits
12
Coordinatore
Scientific Disciplinary Sector (SSD)
INF/01 - INFORMATICS
Language
Italian
The teaching is organized as follows:
Segnali
Credits
6
Period
I sem.
Academic staff
Gloria Menegaz
Immagini
Learning outcomes
------------------------
MM: Segnali
------------------------
------------------------
MM: Immagini
------------------------
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
------------------------
MM: Segnali
------------------------
------------------------
MM: Immagini
------------------------
- Introduction to image processing
- Fourier Transform (continuous time, Fourier series, discrete time, discrete Fourier transform (DFT), FFT) in one dimension
- Fourier Transform (continuous time, Fourier series, discrete time, discrete Fourier transform (DFT), FFT) in two dimensions
- The acquisition pipeline (sampling, quantization)
- Image enhancement (in both spatial and frequency domain)
- Image filtering (low-pass, high pass, linear and non linear)
- Edge detection (in spatial and frequency domain)
- Region-based processing (in spatial and frequency domain)
- Morphological operators
- Color imaging
- Image segmentation (edge-based, region-based)
- Elements of pattern recognition
Examination Methods
------------------------
MM: Segnali
------------------------
------------------------
MM: Immagini
------------------------
Oral exam in 4 sessions. The exams are scheduled as follows: 1 exam in the Extraordinary Session at the end of the course, 1 exam in the Summer Session and 1 exams in the Fall Session. Each exam is split into two parts for the theory and laboratory parts, respectively, which can be passed separately and the whole evaluation is obtained as the mathematical average of the two evaluations. The exam is passed if each evaluation is greater or equal to 18/30. Each evaluation remains valid for the whole current academic year. The aim of the written exam consists in verifying the comprehension of course contents and the capability to apply these contents for generalizing case studies presented during the course and for facing new issues. This comprehension may be verified also by asking theorems and proofs. The aim of the laboratory exam is to verify the acquisition of the tools and methods and to assess the ability to apply such knowledge to the solution of new problems. The exam will consist in the discussion of the exercises proposed during the course and of a mini-project at the end of the course.
Bibliografia
| Activity | Author | Title | Publishing house | Year | ISBN | Notes |
|---|---|---|---|---|---|---|
| Immagini | W.K. Pratt | Digital Image Processing (Edizione 4) | Wiley Interscience | 2007 | 978-0-471-76777-0 | |
| Immagini | Rafael C. Gonzalez and Richard E. Woods | Digital Image Processing (Edizione 4) | Prentice Hall College Div | 2017 | 0133356728 |
Teaching materials
-
L10 - Image enhancement in spatial domain (part1)
(it, 3969 KB, 17/11/17)
-
L11 - Image enhancement in spatial domain (part2)
(it, 5096 KB, 17/11/17)
-
L12 - Edge detection
(it, 5352 KB, 03/12/17)
-
L13 - Region-based processing
(it, 26002 KB, 15/12/17)
-
L14 - Pattern recognition
(it, 4901 KB, 10/01/18)
-
L15 - Color
(it, 5344 KB, 10/01/18)
-
L5
(it, 18601 KB, 09/11/17)
-
L6
(it, 6018 KB, 08/11/17)
-
L7A
(it, 15385 KB, 08/11/17)
-
L7B
(it, 19532 KB, 08/11/17)
-
L8 - Spatial enhancement in Fourier domain
(it, 6853 KB, 14/11/17)
-
L9 - Digital image fundamentals
(it, 2707 KB, 17/11/17)
-
Lab 1 - esercizio
(it, 12 KB, 30/10/17)
-
Lab 1 - Introduction to Matlab
(it, 16837 KB, 30/10/17)
-
Lab 2
(it, 8418 KB, 06/11/17)
-
Lab 3
(it, 6819 KB, 13/11/17)
-
Lab 4
(it, 2179 KB, 04/12/17)
-
Lab 5
(it, 1495 KB, 11/12/17)
-
Lab 5 - otsu
(it, 5 KB, 11/12/17)
-
Lab 6
(it, 579 KB, 18/12/17)
-
Lab 8
(it, 3422 KB, 15/01/18)
-
Lesson 1 - Introduction to signals and systems
(it, 1980 KB, 18/10/17)
-
Lesson 2 - Time domain analysis of continuous-time systems
(it, 21719 KB, 30/10/17)
-
Lesson 3 - Signal representation by Fourier Series
(it, 21484 KB, 30/10/17)
-
Lesson 4 - Continuous time signal analysis: the Fourier transform
(it, 23786 KB, 01/11/17)
-
Soluzioni esercizi 1-3
(it, 2 KB, 20/11/17)
-
IMMAGINI 01 - Introduzione
(it, 3425 KB, 20/03/18)
-
IMMAGINI 02 - Operazioni puntuali
(it, 3696 KB, 20/03/18)
-
IMMAGINI 03 - Filtraggio
(it, 1667 KB, 27/03/18)
-
IMMAGINI 04 - Restauro/deconvoluzione
(it, 977 KB, 27/03/18)
-
IMMAGINI 05 - Estrazione di feature
(it, 3630 KB, 09/05/18)
-
IMMAGINI 06 - Segmentazione
(it, 3072 KB, 12/04/18)
-
IMMAGINI 07 - Operatori morfologici
(it, 6851 KB, 06/06/18)
-
IMMAGINI 08 - Registrazione
(it, 2866 KB, 29/05/18)
-
IMMAGINI 09 - Compressione
(it, 1621 KB, 24/05/18)
-
IMMAGINI LAB 01
(it, 1779 KB, 29/05/18)
-
IMMAGINI LAB 02
(it, 1638 KB, 29/05/18)
-
IMMAGINI LAB 03
(it, 2754 KB, 29/05/18)
-
IMMAGINI LAB 04
(it, 5185 KB, 29/05/18)
-
IMMAGINI LAB 05
(it, 479 KB, 29/05/18)
-
IMMAGINI LAB 06
(it, 955 KB, 29/05/18)
-
IMMAGINI LAB 07
(it, 709 KB, 29/05/18)
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.