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Teaching Computing in Science and Engineering

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Science and engineering have been heavy users of computing power for a long time. More recently, computational thinking is having a bigger impact in foundational techniques and thinking. A panel of both faculty from MIT and elsewhere, along with professionals in the field, discuss the teaching of computing in science and engineering. Panel includes: Cynthia Barnhart, MIT Chancellor and Ford Foundation Professor of Engineering; Stephen Boyd, Chair, Department of Electrical Engineering and Samsung Professor in the School of Engineering at Stanford University; Tony DeRose, Educational Consultant and Former Senior Scientist at Pixar Animation Studios; Alan Edelman, Professor of Applied Mathematics at MIT; and Wendi Heinzelman, Dean, Hajim School of Engineering and Applied Sciences and Professor of Electrical and Computer Engineering at the University of Rochester.
  
In fields far beyond engineering and science — from political science and urban studies to anthropology and linguistics — some of today’s most exciting new research is fueled by advanced computational capabilities. The MIT Stephen A. Schwarzman College of Computing will create the next generation of highly trained computational thinkers and doers who can offer the world the cultural, ethical, and historical consciousness to use technology for the common good.

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