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

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

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

ModulesCreditsTAFSSD
activated in the A.Y. 2023/2024
ModulesCreditsTAFSSD
Modules Credits TAF SSD
Between the years: 1°- 2°
1 module among the following (a.a. 2023/24: Data protection in business organizations not activated)
6
C
IUS/17
Between the years: 1°- 2°
2 modules among the following (a.a. 2023/24: Statistical methods for business intelligence not activated)
Between the years: 1°- 2°
2 modules among the following (a.a. 2023/24: Complex systems and social physics not activated)
Between the years: 1°- 2°
2 modules among the following
Between the years: 1°- 2°

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

4S009065

Credits

6

Coordinator

Not yet assigned

Language

English en

Scientific Disciplinary Sector (SSD)

INF/01 - INFORMATICS

The teaching is organized as follows:

Teoria
The activity is given by Data Visualization - Teoria of the course: Master's degree in Computer Engineering for Robotics and Smart Industry

Credits

5

Period

Semester 2

Academic staff

Andrea Giachetti

Laboratorio
The activity is given by Data Visualization - Laboratorio of the course: Master's degree in Computer Engineering for Robotics and Smart Industry

Credits

1

Period

Semester 2

Academic staff

Andrea Giachetti

Learning objectives

The course aims to provide tools for the effective visualization of heterogeneous data. A conceptual model of visualization application will be presented, and the main problems and techniques of information and scientific visualization applied to different types of data will be introduced. The course will address the perceptual and technical problems related to data modeling and organization and graphic rendering. Examples and guidelines for effective visualization design in different contexts will be provided. At the end of the course the student will have to demonstrate knowledge and understanding of the basic principles and main problems of visualizing abstract and concrete data. He must be able to design scientific and information visualization applications. This knowledge will provide the student with the ability to: i) independently evaluate algorithms and visualization software knowing how to choose the correct framework for each different task; ii) to apply visualization techniques in different industrial scenarios. At the end of the course the student will have to show that he is able to design, evaluate and use visualization tools for data analysis research and communication.

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

Learning assessment procedures

Oral exam, project presentation and homework evaluation

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