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
Queste informazioni sono destinate esclusivamente agli studenti e alle studentesse già iscritti a questo corso. Se sei un nuovo studente interessato all'immatricolazione, trovi le informazioni sul percorso di studi alla pagina del corso:
Laurea in Bioinformatica - Immatricolazione dal 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
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Mathematical analysis
2° Year activated in the A.Y. 2022/2023
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1 module among the following3° Year activated in the A.Y. 2023/2024
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1 module among the following| Modules | Credits | TAF | SSD |
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Mathematical analysis
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1 module among the following| Modules | Credits | TAF | SSD |
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1 module among the following| 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.
Pattern recognition and Signal and image Processing in Bioinformatics (2023/2024)
Teaching code
4S008228
Credits
12
Coordinator
Language
Italian
Courses Single
Authorized
The teaching is organized as follows:
Signal and image processing I
Credits
6
Period
See the unit page
Academic staff
See the unit page
Information recognition and retrieval for bioinformatics
Credits
6
Period
See the unit page
Academic staff
See the unit page
Learning objectives
The aim of the course is to provide the theoretical and practical foundations of data processing and modeling in the field of bioinformatics, with particular emphasis on signal and image processing and pattern recognition. The course comprises two modules as detailed below. Module1 (Pattern Recognition): This module is aimed at providing the theoretical and applicative bases of Pattern Recognition, a class of automatic methodo-logies used to recognize and recover information from biological data. In particular, during the course the main techniques of this area will be presented and discussed, in particular linked to representa-tion, classification, clustering and validation. The focus is more on the description of the employed methodologies rather than on the details of applicative programs (already seen in other courses). Af-ter attending the course, the students will be able to analyse a biological problem from a Pattern Recognition perspective; they will also have the skills needed to invent, develop and implement the dif-ferent components of a Pattern Recognition System. Module2 (Signal and image processing 1): The course aims at providing the students with the fundamentals of signal and image processing with the 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.
Prerequisites and basic notions
Foundations of functional analysis.
Basic knowledge of probability and mathematics
Bibliography
Criteria for the composition of the final grade
To pass the exam, the student must prove:
- the ability to clearly and concisely describe the different components of a Pattern Recognition System
- the ability to analise, understand and describe a Pattern Recognition system (or a given part of it) relative to a biological problem
- the ability 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;
- the ability to describe the concepts in a clear and exhaustive way;
- the ability to apply the acquired knowledge to solve application scenarios described by means of questions and exercises.
The exam of INFORMATION RETRIEVAL AND SIGNAL AND IMAGE PROCESSING FOR BIOINFORMATICS consists of two parts:
i) a written exam of INFORMATION RETRIEVAL containing questions on topics presented during the course (30 points available). The (i) written part is passed if the grade is greater or equal to 18;
ii) a written exam of SIGNAL AND IMAGE PROCESSING consisting in questions concerning the topics of both the theory and the laboratory sessions, with respective weight of 1/2 and one exercise (15 punti). In case the exam would be in teleconference mode the exam would be be in oral form.
The two parts of the exam can be passed separately: the final grade is the mean of the two grades.
The total exam is passed if each of the two grades is greater or equal than 18. Each evaluation is maintained valid for the whole academic year.
