Taught by Annelie Berner at the ITU: [email protected]
TA’d by Mihai Costescu: [email protected]
Summer University 2024: July 8 - July 31 (course days), exam submission August 9
Visualisation is an increasingly important part of making sense of our highly networked, data-rich world. Using a combination of interpretive methods and representational techniques, we will explore how visualisation can be used to make visible the invisible relationships, structures and stories around us.
We will learn to draw with data, using analog and digital techniques to practice creating creative data visualisations, for example like this one. We will learn how to collect, classify, encode, and display data and use interactivity to construct relationships and meaning. Along the way, we will also learn about principles and processes of data visualisation, how to develop small projects and scope concepts. Programming is a key aspect of this course; we sketch the data visualisations through code.
Week 1 is a warm-up to the topics of design, data and programming with d3.js. Week 2 focuses on playfulness and experimentation with data visualisation. Weeks 3 and 4 are dedicated to creating a small project, with continued support through code demos, design guidance and project mentorship.
The course’s exam project brief is to visualise environmental data that has themes of cycles, systems and time.