Soft Skills (3 ECTS)
A.Y. 2026/2027
Learning objectives
Undefined
Expected learning outcomes
Undefined
Lesson period: Open sessions
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course can be attended as a single course.
Course syllabus and organization
Single session
Responsible
Course syllabus
Learning objectives
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.
Expected learning outcomes
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.
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.
Expected learning outcomes
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.
Prerequisites for admission
The "Data Visualization Narratives" Laboratory course is intended for international students who choose to acquire 3 ECTS in Italian language proficiency; together with the 3 ECTS awarded for the "Data Visualization Narratives" Laboratory, they will thereby reach the 6 ECTS in soft skills required by MBC.
- University credits: 3