Information and Visualization

Designed for introductory exposure to Python, GitHub, word embeddings, and network visualization. How can information visualization reveal and critique structures of power and forms of hegemonic representation in the historic and cultural record? Practice-centered study focuses on both critique and creation as interwoven approaches to information visualization. Culminates in collaborative, playful data-centered storytelling committed to alternative narratives and liberatory futures. Introduction 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 are exposed to tools and techniques such as Web scraping, OpenRefine, Tableau, Plotly, Neo4j, GitHub, digital storytelling, digital publishing, and data journalism.

P/NP or letter grading.