Data-Driven Art II

5 credits

Further develops skills and concepts required to make art, using machine learning and Big Data. Combines technical instruction in Python with discussion of ethical, aesthetic, and creative possibilities of data science. Topics include histories of data-driven art, technical applications using NLP, GANs, Classification Systems, Datasets, and hands-on systems-based art projects. Prerequisite: DXARTS 481. Offered: Sp.