DS 796 - Data Science Project

(3.00 cr.)

Prerequisite: DS 795 . Students complete the independent or small group research project proposed in DS 795, then present their work as a paper and at an end-of-semester symposium. Within the project, students use the complete process of addressing a real data science project which includes collecting and processing the data, applying an appropriate method to the problem, reporting on the problem, and its solution. The final report includes a discussion of the ethics involved in the project. Each project team is supervised by the course director (in some cases, with a relevant faculty advisor) and advised by the project coach assigned from the academic, governmental, or industry sponsor. To be taken the semester following DS 795 .