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
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 2025/2026The 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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2° Year activated in the A.Y. 2020/2021
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1 module among the following3° Year activated in the A.Y. 2021/2022
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1 module among the followingLegend | 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 (2021/2022)
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 outcomes
The course is aimed at providing the basic theoretical and applicative tools and techniques for the analysis and management of biological data; in particular the course is focused on topics linked to Pattern Recognition and Image analysis The course comprises two modules as detailed below. Module1: 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 Re-cognition perspective; they will also have the skills needed to invent, develop and implement the dif-ferent components of a Pattern Recognition System. Module2:
Program
Please refer to the program of the two parts.
Bibliography
Examination Methods
To pass the exam, the student must prove:
- the capability to clearly and concisely describe the different components of a Pattern Recognition System
- the capability 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 (15 points available). The (i) written part is passed if the grade is greater or equal to 9;
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 2/3 and 1/3, 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 sum of the two grades.
The total exam is passed if each of the two grades is greater or equal to 9. Each evaluation is maintained valid for the whole academic year.
