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.

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

4S01908

Credits

6

Coordinator

Not yet assigned

Language

Italian

Scientific Disciplinary Sector (SSD)

INF/01 - INFORMATICS

Courses Single

Authorized

The teaching is organized as follows:

Teoria

Credits

4

Period

Not yet assigned

Academic staff

Not yet assigned

Esercitazioni

Credits

2

Period

Not yet assigned

Academic staff

Not yet assigned

Learning objectives

The aim of the course is to present methods from discrete mathematics which are employed in the analysis of biological phenomena, with a major emphasis on the computational analysis of genomes. At the end of the course the students will be able to apply discrete probability and information theoretic tools for analysing genomic data.