|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.
Tamara Munzner.VisualizationAnalysis and Design.AK PetersVisualization Series. CRC Press, 2014
Scott Murray. Interactive Data Visualization for the Web. O’Reilly, 2013
Office hours: Appointment by email
ANNALISA BARLA (President)
All class schedules are posted on the EasyAcademy portal.
Oral exam must be taken after delivering the final project. If the student has atteded over 80% of classes, it consists just of a discussion of the project itself, in relation to the theory presented in class; if the student has attended between 50% and 80% of classes, it may also include some questions related to the theory presented in class; if the student has attended less than 50% of classes, it will consist mainly of questions concerning the whole syllabus.
|15/06/2022||09:00||GENOVA||Esame su appuntamento|
|13/09/2022||09:00||GENOVA||Esame su appuntamento|