We live in a world where more data has been and is being collected than ever before. But what does that mean? What information can we glean from the data? How do we represent what is being collected, and more importantly, what is missed?
This intro-level course examines the emergent fields of data collection, analysis, and visualization from an art perspective, asking how the technologies inherent to each can be leveraged for response, creation, and critique.
This course is equal parts technical (programming-based) and conceptual (writing/reading/discussion). Students will learn the basics of data gathering and analysis with the programming language Python, as well as learn to create data visualizations and manifestations using various computational tools. In addition, students will be introduced to the technical ways in which data is stored, collected, and consumed, as well as gain an understanding of the historical and critical positioning of the current “data revolution”.