Workshop: Teaching Computation in the Sciences Using MATLAB

October 14-16, 2018
Carleton College, Northfield, MN

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Science involves accessing and analyzing data, creating models and simulations, and sharing reusable research. Success in these activities requires students to have quantitative thinking and computational skills that they can apply to their science pursuits.

To address the need to strengthen computational skills, this workshop brought together faculty from the sciences who teach computation and are interested in strengthening their skills and developing MATLAB-based teaching resources. Working interactively with faculty peers and MathWorks representatives, participants developed teaching strategies and contributed to a collection of sharable teaching activities. By including educators from multiple disciplines – including Biology, Chemistry, Geoscience, Physics, Math, and allied fields – the workshop encouraged sharing of ideas and best practices and integration of themes and tools across areas.

These new activities and resources empower participants and enable other faculty to teach computation and quantitative thinking using MATLAB more effectively. This transfer of knowledge between educators will, in turn, provide students the foundation to thrive in their scientific disciplines.

Overview » Workshop Program » Participant Workspace »

Leader Workspace »

Conveners:

Dan Burleson, University of Houston (Review Editor)
Princess Imoukhuede, Washington University in St. Louis
Lisa Kempler, MathWorks
Cathy Manduca, Science Education Resource Center, Carleton College
Dylan Mikesell, Boise State University
Kelly Roos, Bradley University

Staff:

Mitchell Awalt, Science Education Resource Center, Carleton College
Paul Kassebaum, MathWorks

This workshop is sponsored by: