Scientific Data Visualization
A.Y. 2025/2026
Learning objectives
This course explores advanced data visualization techniques, extending beyond basic charts to multidimensional, longitudinal, and network-based representations. Emphasizing their role in visual data analysis and storytelling, the course covers theoretical principles of visual perception, advanced visualization frameworks, and techniques for large-scale data visualization. Additionally, students will examine the principles behind designing and developing information dashboards for decision-making and system monitoring.
Expected learning outcomes
By the end of this course, students will be able to apply advanced visualization techniques, including multidimensional, longitudinal, and network-based representations, to analyze complex data and develop large-scale visualizations. They will understand the principles of visual perception, and will be able to visually communicate insights through a fair data storytelling.
Lesson period: First four month period
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
Single session
Course currently not available
Lesson period
First four month period
INF/01 - INFORMATICS - University credits: 3
SECS-S/01 - STATISTICS - University credits: 3
SECS-S/01 - STATISTICS - University credits: 3
Lessons: 40 hours