Quantitative Text Analysis and Data Visualization for Teachers and Students

Catalog description

This course examines how quantitative analytical techniques can be used to deepen the reading and teaching of a wide array of texts, including political and literacy. Students will be exposed to seminal concepts from the digital humanities and software studies, apply those concepts to text study using web-based data analytical tools and R (statistical programming language), and render their textual data as polished visualization ready for publication. No previous exposure to the digital humanities or programming is necessary; instructional strategies will be differentiated accordingly.