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.

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 2025/2026

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

ModulesCreditsTAFSSD
12
C
CHIM/03 ,CHIM/06
6
A
FIS/01
English B2
6
E
-

2° Year  activated in the A.Y. 2024/2025

ModulesCreditsTAFSSD
12
B
INF/01
6
C
BIO/18
1 module among the following
6
C
FIS/07

3° Year  It will be activated in the A.Y. 2025/2026

ModulesCreditsTAFSSD
Final exam
3
E
-
activated in the A.Y. 2024/2025
ModulesCreditsTAFSSD
12
B
INF/01
6
C
BIO/18
1 module among the following
6
C
FIS/07
It will be activated in the A.Y. 2025/2026
ModulesCreditsTAFSSD
Final exam
3
E
-
Modules Credits TAF SSD
Between the years: 2°- 3°
Further activities
3
F
-
Between the years: 2°- 3°

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.




S Placements in companies, public or private institutions and professional associations

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

ATTENTION: The details of the course (teacher, program, exam methods, etc.) will be published in the academic year in which it will be activated.
You can see the information sheet of this course delivered in a past academic year by clicking on one of the links below: