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. 2019/2020
Modules | Credits | TAF | SSD |
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1 module to be chosen among the following
3° Year activated in the A.Y. 2020/2021
Modules | Credits | TAF | SSD |
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1 module to be chosen among the following
Modules | Credits | TAF | SSD |
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Modules | Credits | TAF | SSD |
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1 module to be chosen among the following
Modules | Credits | TAF | SSD |
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1 module to be chosen among the following
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.
Data-intensive software systems (2020/2021)
The teaching is organized as follows:
INGEGNERIA DEL SOFTWARE
Credits
6
Period
See the unit page
Academic staff
See the unit page
Learning outcomes
The course is aimed at providing the theoretical and applicative basis of tools and techniques for the management and the retrieval of biological data; in particular the course is focused on topics linked to Pattern Recognition and Databases. The course comprises two modules as detailed below.
Module Basi di dati per Bioinformatica: This module has the aim to provide the students with the necessary concepts and methods for the design of a database and its applications, with an emphasis on the management of bioinformatics data. In particular, it will be focused on the methodologies for the conceptual and logical design of a database and for the successive database implementation on database systems. At the end of the course, the students will be able to understand how a database management system works and they will know how to: (i) design and implement relational databases; (ii) query relational databases.
Module Riconoscimento e recupero dell’informazione per Bioinformatica: This module is aimed at providing the theoretical and applicative bases of Pattern Recognition, a class of automatic method-ologies 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 representation, 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). After 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 different components of a Pattern Recognition System.
Bibliography
Author | Title | Publishing house | Year | ISBN | Notes |
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Paolo Atzeni, Stefano Ceri, Piero Fraternali, Stefano Paraboschi, Riccardo Torlone | Basi di dati (Edizione 5) | McGraw Hill | 2018 | 9788838694455 |