Modules for Spring 2017


1 credit-hour modules, taught over a 5-week span, serve multiple purposes:

  1. Modules are co-taught by faculty mentors (and their lab members) spanning all three domains, creating a multi-lingual learning and research environment;
  2. Modules introduce trainees to a targeted biomedical or biological focus, the data sources, current data analytics tools and results, and current predictive modeling tools and results — in essence, duplicating the start-up process to integrate a new graduate student or postdoc into an interdisciplinary collaboration;
  3. Modules serve as an in-depth interview process for students to apply for rotations or funding in that particular research area and collaboration;
  4. Modules serve as a potential nucleating process for creating new tri-domain collaborations (biomedical focus and data, data analytics, predictive modeling).


For Spring 2017, courses are listed in each department of one of the faculty teaching the course.  Interested students should enroll through their home department if possible.

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