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
6
C
CHIM/03
6
C
CHIM/06
6
A
FIS/01
6
E
-
6
A
INF/01
12
A
INF/01

2° Year  activated in the A.Y. 2014/2015

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

3° Year  activated in the A.Y. 2015/2016

ModulesCreditsTAFSSD
Due insegnamenti a scelta
6
B
INF/01
6
B
INF/01
6
B
INF/01
6
B
INF/01
6
B
INF/01
6
B
ING-INF/05
6
B
INF/01
Un insegnamento a scelta
6
C
BIO/04
6
C
BIO/11
6
C
FIS/07
6
C
MAT/05
6
C
BIO/09
6
C
ING-IND/25
6
C
BIO/19
6
C
BIO/10
6
C
BIO/11
6
C
MAT/08
6
C
CHIM/02
12
C
BIO/10 ,BIO/11
12
B
INF/01
12
D
-
Altre attivita' formative
3
F
-
Prova finale
3
E
-
activated in the A.Y. 2014/2015
ModulesCreditsTAFSSD
12
B
INF/01
12
B
INF/01
12
C
BIO/10
12
B
ING-INF/05
6
C
BIO/18
6
A
MAT/06

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

Image processing for bioinformatics   (2015/2016)

Teaching code

4S02713

Teacher

Gloria Menegaz

Coordinator

Gloria Menegaz

Credits

6

Also offered in courses:

Language

Italian

Scientific Disciplinary Sector (SSD)

INF/01 - INFORMATICS

Period

II semestre dal Mar 1, 2016 al Jun 10, 2016.

Seminars 0

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

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