This practice-centered undergraduate class will focus on both critique and creation as interwoven approaches to information visualization and will culminate in collaborative, playful data-centered storytelling committed to alternative narratives and liberatory futures. The class will introduce students to transdisciplinary skills of quantification, visual literacy, and data communication. Through hands on practice, group self-directed tutorials, individual and collaborative work, and aligned workshops, students will be exposed to tools and techniques such as Webscraping, Open Refine, Tableau, Plotly, Palladio, Neo4j, Github, Quarto. Class assignments include self-guided tutorials, collaborative work, short writing assignments, and a final project. This class has no prerequisites and is designed for introductory exposure to python, github, word embeddings, and network visualization through project study and flipped classroom activities. The only requirements for success in this class are commitment to collaborative peer learning, openness to difficult things, and critical interventions in data.
Final Projects
Class Narrative