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

A.A. 2024/2025 A.A. 2023/2024 A.A. 2022/2023 A.A. 2021/2022 A.A. 2020/2021 A.A. 2019/2020 A.A. 2018/2019 A.A. 2017/2018 A.A. 2016/2017 A.A. 2015/2016 A.A. 2013/2014 A.A. 2012/2013 A.A. 2011/2012 A.A. 2010/2011 A.A. 2009/2010 A.A. 2005/2006

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
6
A
MAT/02
6
A
MAT/05
6
C
BIO/13
6
B
ING-INF/05
12
C
CHIM/03 ,CHIM/06
6
A
FIS/01
12
A
INF/01
English B2
6
E
-

2° Year  activated in the A.Y. 2023/2024

ModulesCreditsTAFSSD
12
B
INF/01
6
C
BIO/11
6
C
BIO/10
12
B
INF/01 ,ING-INF/05
6
C
BIO/18
6
A
INF/01
1 module among the following
6
C
FIS/07
6
C
BIO/09
6
C
MAT/05
6
C
BIO/11
6
A
MAT/06

3° Year  activated in the A.Y. 2024/2025

ModulesCreditsTAFSSD
12
C
BIO/10
12
B
INF/01
1 module among the following
6
B
INF/01
6
B
INF/01
6
B
INF/01
6
B
INF/01
12
B
INF/01
Final exam
3
E
-
activated in the A.Y. 2023/2024
ModulesCreditsTAFSSD
12
B
INF/01
6
C
BIO/11
6
C
BIO/10
12
B
INF/01 ,ING-INF/05
6
C
BIO/18
6
A
INF/01
1 module among the following
6
C
FIS/07
6
C
BIO/09
6
C
MAT/05
6
C
BIO/11
6
A
MAT/06
Modules Credits TAF SSD
Between the years: 2°- 3°
Further activities
3
F
-
Between the years: 2°- 3°
12
D
-

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.

A Basic activities
B Characterizing activities
C Related or complementary activities
D Activities to be chosen by the student
E Final examination
F Other training activities
S Placements in companies, public or private institutions and professional associations

Python programming language  (2023/2024)

Teaching code

4S007127

Academic staff

Carlo Combi, Claudio Tomazzoli

Coordinator

Carlo Combi

Credits

2

Also offered in courses:

Language

Italian

Scientific Disciplinary Sector (SSD)

NN - -

Period

Semester 2 dal Mar 4, 2024 al Jun 14, 2024.

Erasmus students

Not available

Courses Single

Not Authorized

Lessons timetable MoodleMoodle Seminars 0

Learning objectives

basic understanfìding in programming in Python with emphasis on algorithm development and analysis of numerical and textual data

Prerequisites and basic notions

-

Program

Introduction to Python (types, data structures, conditional statements, loops, writing scripts and functions). Implementation ( in Python ) of classical algorithms through assisted software production and implementation of specific projects. Introduction to libraries and tools for analyzing numerical and textual data.

Bibliography

Vai alla bibliografia
Visualizza la bibliografia con Leganto, strumento che il Sistema Bibliotecario mette a disposizione per recuperare i testi in programma d'esame in modo semplice e innovativo.

Didactic methods

Laboratory frontal lecture (aula delta)

Learning assessment procedures

The course entitles 2 D-type CFU(student's choice activities). Attending in the course is not mandatory. The final exam will take the form of written exercises on topics developed during the course.

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

Evaluation criteria

The outcome of the final test will be pass/fail without a grade.

Criteria for the composition of the final grade

-

Exam language

Italiano