Scientific Visualization

A.Y. 2025/2026
6
Max ECTS
48
Overall hours
SSD
INF/01
Language
English
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.
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

Responsible
Lesson period
First four month period
INF/01 - INFORMATICS - University credits: 6
Lessons: 48 hours
Professor: Casiraghi Elena
Shifts:
Turno
Professor: Casiraghi Elena
Professor(s)
Reception:
Write to [email protected] for an appointment
https://zoom.us/j/8134547215