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 B1
6
E
-

2° Year  activated in the A.Y. 2019/2020

ModulesCreditsTAFSSD
12
B
INF/01
6
C
BIO/18
1 module to be chosen among the following

3° Year  activated in the A.Y. 2020/2021

ModulesCreditsTAFSSD
1 module to be chosen among the following
Other activities
3
F
-
Final exam
3
E
-
ModulesCreditsTAFSSD
12
C
CHIM/03 ,CHIM/06
6
A
FIS/01
English B1
6
E
-
activated in the A.Y. 2019/2020
ModulesCreditsTAFSSD
12
B
INF/01
6
C
BIO/18
1 module to be chosen among the following
activated in the A.Y. 2020/2021
ModulesCreditsTAFSSD
1 module to be chosen among the following
Other activities
3
F
-
Final exam
3
E
-

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

4S007127

Coordinator

Vittoria Cozza

Credits

2

Also offered in courses:

Language

Italian

Scientific Disciplinary Sector (SSD)

NN - -

Period

II semestre dal Mar 1, 2021 al Jun 11, 2021.

Learning outcomes

Basic programming in Python and basic usage of Python libraries for data science.
The course scheduling is available in the e-learning platform.

Program

Introduction to Python
Variables, Expressions and Instructions
Functions
Conditional statements and Loops
Strings Manipulation
Data Structures: Lists, Dictionaries, Tuples
File Management
Advanced Libraries, examples are:
• Numpy
• Matplotlib
• Biopython
• Beautifulsoup
• Nltk

Reference texts
Author Title Publishing house Year ISBN Notes
Dmitry Zinoviev Data Science con Python: dalle stringhe al machine learning, le tecniche essenziali per lavorare sui dati (Edizione 1) APOGEO 2017 9788850334148
Allen B. Downey Think Python: How to Think Like a Computer Scientist 2nd Edition (Edizione 1) O'Reilly Media 2015 1491939362

Examination Methods

Project work and Project work group Discussion

Students with disabilities or specific learning disorders (SLD), who intend to request the adaptation of the exam, must follow the instructions given HERE