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.
Basics of web development (HTML, CSS, JavaScript) Basic notions of statistics
This course uses the method of flipped classroom: students are expected to read course material before it is presented in class. Class lectures are for intrudicing theory and design principles. Practice consists in simple data visualization tasks implemented individually by students Homework will be assigned. Class attendance may affect the final assessment.
This course will make use of elementary client-side web programming; students are expected to have some backgound on HTML5, CSS, and Javascript.
Visual perception
Data abstraction
Marks and channels
Task abstraction
Visualization of categorical data
Visualization of temporal data
Visualization of correlations
Visualization of geographic data
Technical tools: D3.j
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
Amelia Wattemberger. Fullstack D3 and Data Visualization: Build beautiful data visualizations with D3
Ricevimento: ANNALISA BARLA: on demand, upon explicit request by email
ANNALISA BARLA (President)
CLAUDIO MANCINELLI
ENRICO PUPPO (President Substitute)
In agreement with the calendar approved by the Degree Program Board of Computer Science.
Attendance Quiz during class - Class attendance
Homework [20%] About four assigned along the course - small effort, strict deadlines
Project [50%] Assigned during the course - big work, completed by the end of the course
Oral [30%] 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
