1 Items

  1. Data Science Across The Disciplines: A New Course

    | by Caitlin Myers

    This winter term five faculty colleagues from Math, Art History, Biology, Economics, and Japanese designed and piloted a new course blending a traditional introduction to data science with immersive project-based applications across four disciplines. Students with no prior data science experience spent their mornings learning how to use the statistical software package R to wrangle and extract meaning from data, and their afternoons critically applying these skills to research projects on topics ranging from seventeenth-century Dutch art to tick-borne disease to Japanese pop culture to abortion policy.