DS 395 - Special Topics in Data Science

Credits: 3

Prerequisite: instructor consent. Exploration of a topic in data science, where students craft testable research questions and retrieve an appropriate data set to answer those research questions. Includes training in some aspect of data science and incorporates extensive independent student work, with individual projects being the key product of that work, synthesizing what you have learned in the data science minor and demonstrating mastery of core data-science skills. Topics may include causal inference for data science with directed acyclic graphs (DAGs); analysis of spatial data; or multilevel models. Data Science faculty. Offered periodically depending on faculty availability and expertise and student interest.