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. 2026/2027 A.A. 2025/2026 A.A. 2024/2025

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
9
B
SECS-P/08
9
B/C
IUS/01 ,M-FIL/03
9
B
MAT/06
12
B
INF/01

2° Year  activated in the A.Y. 2025/2026

ModulesCreditsTAFSSD
Final exam
21
E
-
activated in the A.Y. 2025/2026
ModulesCreditsTAFSSD
Final exam
21
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°
1 module among the following
6
C
M-FIL/02
6
C
IUS/02
6
C
IUS/17
6
C
SPS/07
6
C
IUS/04
Between the years: 1°- 2°
2 modules among the following
6
C
SECS-P/10
6
C
SECS-P/08
6
C
SECS-P/10
6
C
SECS-P/08
6
C
AGR/01
Between the years: 1°- 2°
1 module among the following 
- A.A. 2024/2025 Complex systems and social physics - Network science and econophysics - Statistical methods for business intelligence not activated
- A.A. 2025/26 Network science and econophysics not activated
6
C
FIS/02
6
C
FIS/02
6
C
SECS-S/01
Between the years: 1°- 2°
1 module among the following
6
B
MAT/09
6
B
MAT/06
6
B
MAT/08
Between the years: 1°- 2°
2 modules among the following
6
B
INF/01
6
B
ING-INF/05
6
B
ING-INF/05
6
B
INF/01
6
B
INF/01
Between the years: 1°- 2°
Further activities: International students (ie students who do not have an Italian bachelor's degree) must compulsorily gain 3 credits of Italian language skills level B2.
6
F
-
Between the years: 1°- 2°
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

Data visualisation  (2024/2025)

Teaching code

4S009065

Teacher

Andrea Giachetti

Coordinator

Andrea Giachetti

Credits

6

Also offered in courses:

Language

English en

Scientific Disciplinary Sector (SSD)

INF/01 - INFORMATICS

Period

Semester 1 dal Oct 1, 2024 al Jan 31, 2025.

Courses Single

Authorized

Lessons timetable MoodleMoodle Seminars 0

Learning objectives

The course aims to provide students with an introduction to the main problems of data visualization. An overview of the critical aspects of visualization related to graphic design, perceptual psychology, cognitive sciences will be provided, and practical tools will be provided for the realization of effective visualizations (on the web) At the end of the course the student has to show to have acquired the following skills:
- understanding of the design issues of effective data visualizations
- understanding of the common data-visualization techniques for each type of data and application domain (multivariate data, networks, texts, cartography, etc.) with their features and limitations
- ability to read and discuss research papers from the data visualization literature
- ability to choose the most suitable visualization techniques for each type of data and application task
- ability to create interactive visualizations in the browser using HTM5 and Javascript

Prerequisites and basic notions

Data Structures and Python Programming Basics

Program

Introduction to data visualization: motivation, visualization problems, tasks and goals. Design evaluation
Color and perception, Mapping of data on a color scale, Marks and channels
Guidelines for visualization design, ethics in visualization
Data, models and data encoding, filtering, aggregation, multidimensional data
Graphs and their visualization
Tabular data visualization, graph and network visualization Maps, scientific visualization, image and volume visualization Spatial layout management, view manipulation, focus and context
Interaction, user interface elements, animation, dashboards, multiple visualizations
Prototyping using visualization packages in python

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

Lectures and guided examples in Python

Learning assessment procedures

Written exam and evaluation of practical assignments. The written exam consists of 4 open questions on the theory program. The assignments will consist of exercises on the practical part to be delivered.

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

Students will have to demonstrate understanding of the design issues of a visualization application, be aware of the main types of data and encodings, the issues of visual mapping and the related human factors, the main visualization techniques used for the various types of data. Students will have to be able to demonstrate the practical ability to design effective data visualizations using basic libraries and following the rules and principles of design.

Criteria for the composition of the final grade

60% written assessment, 40% homework assessment

Exam language

Inglese o Italiano