MIDAS Working Group: Teaching Data Science

Michigan Institute for Data Science (MIDAS) is convening a working group on teaching data science. As we incorporate data science into almost every level of teaching, many issues need to be thoroughly thought out: How do we teach data science to students with various levels of preparation, from those with little quantitative training to STEM students? How do we build data science modules to incorporate into existing domain science courses? How do we raise awareness of ethics and social responsibility in data science teaching? How do we teach data science to independent researchers, including faculty, who want to build data science into their research? What teaching resources are available at UM? Our working group welcomes anyone interested in these topics. We hope to create an interdisciplinary platform that will foster new ideas and collaborations in the development of data science teaching methods and materials.

Agenda:
• Introduction. Each participant has up to 5 minutes (based on the number of RSVPs) to present
o their teaching and research background
o what they are considering/developing for teaching data science, issues that they encounter
o what they hope to gain from this group
• Open discussion of ideas and collaboration, and deciding action plans.

Future Plan: Based on the interest of participants, MIDAS will hold regular meetings for this group and facilitate discussion and collaboration. We hope to see the development of teaching methods and materials through our group’s collaboration. We will also facilitate applications for external teaching grants.

Please RSVP. For questions, please contact Jing Liu, MIDAS Senior Scientist and Industry Partnership Leader (ljing@umich.edu; 734-764-2750).