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MIDAS working group meeting: Teaching Data Science
April 5, 2018 @ 3:00 pm - 4:30 pm
Weiser Hall, MIDAS, Suite 600
Agenda:
- Introduction.
- Short presentations
o Heather Mayes (Assistant Professor, Chemical Engineering) will talk about the design of a Data Science ramp-up course for engineering students and how to integrate it with existing course offerings.
o Kerby Shedden (Professor, Statistics, and CSCAR director) will share insight from his experience teaching “capstone” style courses for undergraduate and MS students, based around case studies and focus on methods, formulating good questions, and writing.
o Aaron Keys (data scientist, Airbnb) will give the industry perspective on the various training paths that students can take for a career in data science.
- Open discussion of ideas and collaboration, and sharing resources.
Please sign up using the online form. For questions, please contact Jing Liu, MIDAS Senior Scientist and Industry Partnership Leader (ljing@umich.edu; 734-764-2750).