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

ModulesCreditsTAFSSD
12
B
INF/01
6
C
BIO/18

3° Year  It will be activated in the A.Y. 2026/2027

ModulesCreditsTAFSSD
Final exam
3
E
-
ModulesCreditsTAFSSD
12
C
CHIM/03 ,CHIM/06
6
A
FIS/01
English B2
6
E
-
It will be activated in the A.Y. 2025/2026
ModulesCreditsTAFSSD
12
B
INF/01
6
C
BIO/18
It will be activated in the A.Y. 2026/2027
ModulesCreditsTAFSSD
Final exam
3
E
-
Modules Credits TAF SSD
Between the years: 2°- 3°
1 module among the following (Discrete Biological Models 2nd year, other modules 3rd year)
Between the years: 2°- 3°
1 module among the following (Elements of physiology and Biophysics 2nd year, Model organism in biotechnology research and Molecular biology laboratory 3rd year)
6
C
FIS/07
Between the years: 2°- 3°
Between the years: 2°- 3°
Further activities
3
F
-

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

4S00021

Credits

6

Scientific Disciplinary Sector (SSD)

MAT/06 - PROBABILITÀ E STATISTICA MATEMATICA

Learning objectives

The course aims to provide the basic concepts of descriptive Statistics and Probability, by modeling concrete problems through the use of probabilistic methods and, at the same time, to underline the natural application of these concepts to mathematical Statistics. The course also aims to provide ac-tual tools to apply the main statistical techniques to real cases. By the end of the course, students will have to show their knowledge and understanding of the main statistical techniques for the description and analysis of the phenomena under study; to express the ability to apply the acquired knowledge and understanding skills for the interpretation of the results of the applied statistical analyses in a critical and proactive way, by using the available tools; to be able to employ the knowledge acquired to continue the studies independently in the field of statistical analysis.

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: