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.
Type D and Type F activities
Nella scelta delle attività di tipo D, gli studenti dovranno tener presente che in sede di approvazione si terrà conto della coerenza delle loro scelte con il progetto formativo del loro piano di studio e dell'adeguatezza delle motivazioni eventualmente fornite.
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 3° | Matlab-Simulink programming | D |
Bogdan Mihai Maris
(Coordinator)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 3° | Introduction to 3D printing | D |
Franco Fummi
(Coordinator)
|
| 3° | Python programming language | D |
Vittoria Cozza
(Coordinator)
|
| 3° | HW components design on FPGA | D |
Franco Fummi
(Coordinator)
|
| 3° | Rapid prototyping on Arduino | D |
Franco Fummi
(Coordinator)
|
| 3° | Protection of intangible assets (SW and invention)between industrial law and copyright | D |
Roberto Giacobazzi
(Coordinator)
|
| years | Modules | TAF | Teacher | |
|---|---|---|---|---|
| 1° | Subject requirements: mathematics | D |
Rossana Capuani
|
|
| 3° | The fashion lab (1 ECTS) | D |
Maria Caterina Baruffi
(Coordinator)
|
|
| 3° | LaTeX Language | D |
Enrico Gregorio
(Coordinator)
|
|
Pattern recognition and Signal and image Processing in Bioinformatics - Signal and image processing I (2020/2021)
Teaching code
4S008228
Credits
6
Coordinator
Not yet assigned
Language
Italian
Scientific Disciplinary Sector (SSD)
INF/01 - INFORMATICS
To show the organization of the course that includes this module, follow this link: Course organization
The teaching is organized as follows:
Teoria
Laboratorio
Learning outcomes
The course aims at providing the students with the fundamentals of signal and image processing with emphasis on aspects that are relevant in the field of bioinformatics at both theoretical and practical levels. At the end of the course the students will be able to analyze the typical signal and image processing problems encountered in bioinformatics as well as to devise and implement suitable solutions grounding on the knowledge gained in the theory sessions and using the main available toolboxes.
Program
THEORY
The theory part aims at providing the students with all the theoretical aspects that are needed for understanding, analyzing and solving the main signal and image processing issues that are encountered in the field of bioinformatics.
The course contents include the mathematical foundations, methodological tools and algorithms that are required in this respect and will be complemented by exercise sessions.
SYLLABUS
Introduction to signals and systems with special focus on the biomedical and bioinformatics fields
Linear Time Invariant Systems (LTIS): continuous and discrete time, properties, zero-input, zero-state, impulse response, transfer function, system stability, analysis of system behavior
Fourier Transform (FT): Fourier Series, Continuous and Discrete time FT, Discrete Fourier Transform (DFT)
Filtering: analog and digital, low-pass, high-pass, in time and frequency domain, linear and non-linear, 1D and 2D
A/D signal conversion: sampling and quantization of signals and images
Image segmentation: edge-based and region-based main segmentation algorithms
Texture analysis by Gabor filters and basics of time/frequency and multiscale analysis
Feature extraction in time/space and frequency and application examples in the field of pattern recognition
Please note that all the methods are meant to be applied to both signals and images unless differently specified.
LABORATORY SESSIONS
Laboratory sessions at getting familiar with the main algorithms and tools introduced in the theoretical sessions by solving some typical signal and image processing problems.
Examination Methods
The exam of the SIGNAL AND IMAGE PROCESSING module consists in questions concerning the topics of both the theory and the laboratory sessions, with respective weight of 2/3 and 1/3, and one exercise (15 punti). In case the exam would be in teleconference mode it would be in oral form.
