OVERVIEW

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.

AIMS AND CONTENT

LEARNING OUTCOMES

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.

TEACHING METHODS

This course uses the method of flipped classroom: students are expected to read course material before it is presented in class. 

• Class lectures for:
  • Theory (design principles)
  • Programming techniques
  • Analysis of code
• In class exercises resolved by students
• Homework

Class attendance is registered and may affect the final assessment.

SYLLABUS/CONTENT

This course will make use of elementary client-side web programming; students are expected to have some backgound on HTML5, CSS, and Javascript. Students that wish to take this course but do not know about these topics may easily back up through Topics in Computer Science. 

• Visual perception
• Data abstraction
• Marks and channels
• Task abstraction
• Visualization of table data
• Visualization of geographic data
• Manipulation of views
• Multiple views
• Data reduction
• Technical tools: D3

RECOMMENDED READING/BIBLIOGRAPHY

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 

TEACHERS AND EXAM BOARD

Exam Board

ANNALISA BARLA (President)

CLAUDIO MANCINELLI

ENRICO PUPPO (President Substitute)

LESSONS

LESSONS START

First semester

Class schedule

The timetable for this course is available here: Portale EasyAcademy

EXAMS

EXAM DESCRIPTION

Attendance
Quiz during class - Class attendance [remote participation counts]

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.

Exam schedule