The demand for computing-related training is at an all-time high. At MIT, there has been a remarkable tide of interest in computer science programs, with heavy enrollment from students studying everything from economics to life sciences eager to learn how computational techniques and methodologies can be used and applied within their primary field.
Launched in 2020, the Common Ground for Computing Education was created through the MIT Stephen A. Schwarzman College of Computing to meet the growing need for enhanced curricula that connect computer science and artificial intelligence with different domains. In order to advance this mission, the Common Ground is bringing experts across MIT together and facilitating collaborations among multiple departments to develop new classes and approaches that blend computing topics with other disciplines.
Dan Huttenlocher, dean of the MIT Schwarzman College of Computing, and the chairs of the Common Ground Standing Committee — Jeff Grossman, head of the Department of Materials Science and Engineering and the Morton and Claire Goulder and Family Professor of Environmental Systems; and Asu Ozdaglar, deputy dean of academics for the MIT Schwarzman College of Computing, head of the Department of Electrical Engineering and Computer Science, and the MathWorks Professor of Electrical Engineering and Computer Science — discuss here the objectives of the Common Ground, pilot subjects that are underway, and ways they’re engaging faculty to create new curricula for MIT’s class of “computing bilinguals.”
Q: What are the objectives of the Common Ground and how does it fit into the mission of the MIT Schwarzman College of Computing?
Huttenlocher: One of the core components of the college mission is to educate students who are fluent in both the “language” of computing and that of other disciplines. Machine learning classes, for example, attract a lot of students outside of electrical engineering and computer science (EECS) majors. These students are interested in machine learning for modeling within the context of their
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