This is a seminal course on information design and aesthetics. Students will study graphical theory, graph grammar, and investigate hierarchies, patterns, and relationships in data structures. Students will examine the role of scale, proportion, color, form, structure, motion, and composition in data visualization. Using computational methods, students will create drawings, graphs, indexes, and maps that explore the database as cultural form.
Wednesdays, 7:00pm - 9:40pm, September 2 - December 16
This graduate-level course is an introduction to data visualization, promoting data literacy and visualization competencies for visual artists, designers, and analysts. With a focus on social engagement, this course prepares students with the critical skills to advocate visually and the intellectual context to engage a world in which data increasingly shapes opinion, policy, and decision making.
Students will learn to curate and uncover insights from large and complex data sets. Using cloud-based web technologies, JavaScript, and Processing, students will create drawings, graphs, indexes, and maps. Software influences all aspects of visual media. Media theorist Friedrich Kittler argued that students today should know at least two software languages, “only then they'll be able to say something about what 'culture' is at the moment” (Manovich, 2013). The class will draw upon programming skills acquired in other classes. Basic coding and design knowledge are expected.
Students will familiarize themselves with the necessary vocabulary to communicate and collaborate with data visualization professionals in future contexts. Throughout the course, students work with Canvas to collect and share resources and submit assignments. A series of presentations, screenings, readings, and discussions exposes students to artists and designers working in the context of data visualization and the digital arts. Each student will select a research topic, and present a research report in conjunction with an in-class discussion.
Assignments are invitations to invent and experiment. Creative and ambitious experiments are evaluated high, while obvious and easily attained solutions are evaluated low. The complexity of the assignments increases as the semester progresses. Students are required to document their iterative design process and have it available to present during each class session. Active contribution during class is required. All assignments must be completed to pass the course. Assignments are only considered complete when available on Canvas. Late assignments and attendance will reduce grades proportionally.