Laboratory: "data visualization narratives"
A.A. 2025/2026
Obiettivi formativi
The course aims to provide students with a comprehensive understanding of the fundamental principles of data visualization and the crucial role of storytelling in crafting effective data-driven narratives.
Learning objectives are articulated as follows:
- Understand the main principles of data visualisation and the relevance and role of storytelling in creating effective data narratives.
- Develop skills in selecting appropriate visual models for different data types and audiences.
- Familiarise with tools and software used for data visualisation.
- Analyse and critique existing data visualisation narratives to identify trends and best practices.
- Apply knowledge and skills to design a data visualisation project as a team.
Learning objectives are articulated as follows:
- Understand the main principles of data visualisation and the relevance and role of storytelling in creating effective data narratives.
- Develop skills in selecting appropriate visual models for different data types and audiences.
- Familiarise with tools and software used for data visualisation.
- Analyse and critique existing data visualisation narratives to identify trends and best practices.
- Apply knowledge and skills to design a data visualisation project as a team.
Risultati apprendimento attesi
Upon compilation of this module, students will be able to:
- Explain the principles of data visualisation and how it contributes to effective storytelling in data narratives.
- Select appropriate visual models for different types of data and audiences.
- Combine the use of data visualisation tools.
- Analyse and critique existing data visualisation narratives.
- Collaboratively design a data visualisation project on a chosen topic.
- Explain the principles of data visualisation and how it contributes to effective storytelling in data narratives.
- Select appropriate visual models for different types of data and audiences.
- Combine the use of data visualisation tools.
- Analyse and critique existing data visualisation narratives.
- Collaboratively design a data visualisation project on a chosen topic.
Periodo: Secondo quadrimestre
Modalità di valutazione: Giudizio di approvazione
Giudizio di valutazione: superato/non superato
Corso singolo
Questo insegnamento non può essere seguito come corso singolo. Puoi trovare gli insegnamenti disponibili consultando il catalogo corsi singoli.
Programma e organizzazione didattica
Edizione unica
Edizione non attiva
Periodo
Secondo quadrimestre
SECS-S/01 - STATISTICA - CFU: 3
Attivita' di laboratorio: 20 ore