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
| Modules | Credits | TAF | SSD |
|---|
Linear algebra and analysis
2° Year activated in the A.Y. 2025/2026
| Modules | Credits | TAF | SSD |
|---|
3° Year It will be activated in the A.Y. 2026/2027
| Modules | Credits | TAF | SSD |
|---|
| Modules | Credits | TAF | SSD |
|---|
Linear algebra and analysis
| Modules | Credits | TAF | SSD |
|---|
| Modules | Credits | TAF | SSD |
|---|
| Modules | Credits | TAF | SSD |
|---|
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.
Database technologies (It will be activated in the A.Y. 2025/2026)
Teaching code
4S012347
Credits
6
Scientific Disciplinary Sector (SSD)
INF/01 - INFORMATICA
Learning objectives
The main aim of the course is providing students with concepts related to databases technologies. In particular, the internal architecture of a database management system, the management of queries and transactions will be described. Moreover, the XML markup language, for modeling semistructured data in the bioinformatics context, will be presented. At the end of the course the student will be able to master knowledge and skills about main concepts related to databases technologies, to semistructured data modeling by means of XML, and to develop applications exploiting databases.