Scientific Visualization
A.Y. 2026/2027
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 can be attended as a single course.
Course syllabus and organization
Single session
Lesson period
First four month period
INFO-01/A - Informatics - University credits: 6
Lessons: 48 hours
Professor:
Casiraghi Elena
Shifts:
Turno
Professor:
Casiraghi ElenaEducational website(s)
Professor(s)