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.

Study Plan

A.A. 2024/2025 A.A. 2023/2024 A.A. 2022/2023 A.A. 2021/2022 A.A. 2020/2021 A.A. 2019/2020 A.A. 2018/2019 A.A. 2017/2018 A.A. 2016/2017 A.A. 2015/2016 A.A. 2013/2014 A.A. 2012/2013 A.A. 2011/2012 A.A. 2010/2011 A.A. 2009/2010 A.A. 2005/2006

This information is intended exclusively for students already enrolled in this course.
If you are a new student interested in enrolling, you can find information about the course of study on the course page:

Laurea in Bioinformatica - Enrollment from 2025/2026

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

ModulesCreditsTAFSSD
6
A
MAT/02
6
A
MAT/05
6
C
BIO/13
12
C
CHIM/03 ,CHIM/06
6
A
FIS/01
6
A
INF/01
12
A
INF/01
6
E
-

2° Year  activated in the A.Y. 2016/2017

ModulesCreditsTAFSSD
12
B
INF/01
6
C
BIO/11
6
C
BIO/10
6
C
BIO/18
12
B
ING-INF/05
6
A
MAT/06

3° Year  activated in the A.Y. 2017/2018

ModulesCreditsTAFSSD
12
B
INF/01
12
B
INF/01
12
C
BIO/10
One course to be chosen among the following
6
C
FIS/07
6
C
BIO/09
6
C
MAT/05
6
C
BIO/11
6
C
MAT/08
2 courses to be chosen among the following
6
B
INF/01
6
B
INF/01
6
B
INF/01
6
B
INF/01
6
B
INF/01
12
D
-
Other activitites
3
F
-
Prova finale
3
E
-
activated in the A.Y. 2016/2017
ModulesCreditsTAFSSD
12
B
INF/01
6
C
BIO/11
6
C
BIO/10
6
C
BIO/18
12
B
ING-INF/05
6
A
MAT/06
activated in the A.Y. 2017/2018
ModulesCreditsTAFSSD
12
B
INF/01
12
B
INF/01
12
C
BIO/10
One course to be chosen among the following
6
C
FIS/07
6
C
BIO/09
6
C
MAT/05
6
C
BIO/11
6
C
MAT/08
2 courses to be chosen among the following
6
B
INF/01
6
B
INF/01
6
B
INF/01
6
B
INF/01
6
B
INF/01
12
D
-
Other activitites
3
F
-
Prova finale
3
E
-

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.

A Basic activities
B Characterizing activities
C Related or complementary activities
D Activities to be chosen by the student
E Final examination
F Other training activities
S Placements in companies, public or private institutions and professional associations

Signal and image processing for bioinformatics (2017/2018)

Teaching code

4S003710

Credits

12

Coordinator

Gloria Menegaz

Language

Italian

Scientific Disciplinary Sector (SSD)

INF/01 - INFORMATICS

MoodleMoodle Seminars 0

The teaching is organized as follows:

Segnali
The activity is given by Signal and image processing of the course: Bachelor's degree in Computer Science

Credits

6

Period

I sem.

Academic staff

Gloria Menegaz

Lessons timetable
Immagini

Credits

6

Period

II sem.

Academic staff

Alessandro Daducci

Lessons timetable

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

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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

Bibliography

Reference texts
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

Examination Methods

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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.

Students with disabilities or specific learning disorders (SLD), who intend to request the adaptation of the exam, must follow the instructions given HERE

Teaching materials e documents