Description
HUM 301 S Digital Humanities & Cultural Analytics This course introduces students to the evolving computer-aided practices used to study literature and culture at scale. Through hands-on, project-based learning and seminar discussion, students will think through how these critical approaches, which engage machines and seek to accrue vast, empirical datasets, bear on models of human selfhood. Students will learn to utilize archival platforms and tools for text-mining and data visualization, develop understandings of metadata, mapping, topic modeling, sentiment analysis, and network analysis, and produce a final project that synthesizes quantitative and qualitative datasets. Pre-requisites: MTH 102 and ENG 102 (C-)