|SCIENTIFIC DISCIPLINARY SECTOR||INF/01|
This course provides an introduction to information visualization. Students will learn the principles to design a visualization applicaiton, and they will experience advanced programming tools to develop such applications in practice. The course consists of both theoretical lectures in class and practical experiences both in class and through autonomous work of students.
Learning principles, methods, and techniques for effective visual analysis of data, including techniques for visualizing both spatial and non-spatial data, principles from computer graphics and human perception.
This course uses the method of flipped classroom: students are expected to read course material before it is presented in class.
Class attendance is registered and may affect the final assessment.
Scott Murray. Interactive Data Visualization for the Web. O’Reilly, 2013
Jonathan Schwabish. Better Data Visualizations. Columbia University Press, 2021
Koponen, Juuso, and Jonatan Hildén. Data visualization handbook. Aalto korkeakoulusäätiö, 2019.
Tamara Munzner.VisualizationAnalysis and Design.AK PetersVisualization Series. CRC Press, 2014
Office hours: Appointment by email
ANNALISA BARLA (President)
ENRICO PUPPO (President Substitute)
All class schedules are posted on the EasyAcademy portal.
Quiz during class - Class attendance [remote participation counts]
About four assigned along the course - small effort, strict deadlines
Assigned during the course - big work, completed by the end of the course
After submitting the project
By appointment for groups of students
Depth of oral exam proportional to attendance.
The score of quizzes+homework will guide the selection of the topics during the oral exam.