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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Linear algebra and analysis
2° Year It will be activated in the A.Y. 2025/2026
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3° Year It will be activated in the A.Y. 2026/2027
Modules | Credits | TAF | SSD |
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Modules | Credits | TAF | SSD |
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Linear algebra and analysis
Modules | Credits | TAF | SSD |
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Modules | Credits | TAF | SSD |
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1 module among the following (Discrete Biological Models 2nd year, other modules 3rd year)
1 module among the following (Elements of physiology and Biophysics 2nd year, Model organism in biotechnology research and Molecular biology laboratory 3rd year)
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.
Bio-information technology workshop (It will be activated in the A.Y. 2026/2027)
Teaching code
4S003713
Credits
12
Scientific Disciplinary Sector (SSD)
BIO/10 - BIOCHIMICA
Learning objectives
The course will provide the theoretical and practical basis to understand and employ algorithms and programs currently used to retrieve and analyze data contained in the most used biological data re-positories. The course is divided into two modules, as detailed below. Module 1: In this module student will become acquainted with some of the most used software tools for managing data in proteomics, genomics, biochemistry, molecular and structural biology. Students will be introduced to the analysis and the visualization of structural data of biological macromolecules and their complexes, and to the design of simple static and dynamic models of biomolecular net-works. The students will also be introduced to the most modern fields of systems biology. Module 2: In this module students will learn how to employ the basic bioinformatic tools for the ana-lysis, interpretation and prediction of biological data in proteomics, genomics, biochemistry, molecular biology. This course offers the possibility of applying state of the art bioinformatic tools to solve biolo-gical problems
Educational offer 2024/2025
You can see the information sheet of this course delivered in a past academic year by clicking on one of the links below: