Engineering


Influence of machine learning in Engineering education

#artificialintelligence

Recent news on Sophia the robot getting citizenship in the Saudi Arabia has widely attracted daily news and social media. Despite the debates and agitations on a robot getting recognition as humans, experts view this event as a phenomenal milestone in the research of AI. The current level of Artificial Intelligence is achieved through years of research in Machine Learning, Deep Learning and other related fields. With a lot of hype and investments around, Deep Learning technology – a subdivision of Machine Learning is now successfully applied in our daily life from speech recognition apps in smartphones to YouTube recommendations. One of the pioneers of the Deep Learning, Andrew Ng feels that AI is the new form of electricity where every AI application in future electronic devices will be fuelled by Deep Learning models.


Putting projects at the forefront

MIT News

"With NEET our aim is to rethink engineering education -- what and how students learn -- in a fundamental way across the school," says Edward Crawley, the Ford Professor of Engineering in the Department of Aeronautics and Astronautics and faculty co-lead in the development of NEET. Living Machines is a cross-departmental NEET thread offered jointly by the departments of Biological Engineering, Mechanical Engineering, and Chemical Engineering. Alm is co-lead of the thread together with Linda Griffith, the School of Engineering Professor of Teaching Innovation, Biological Engineering, and Mechanical Engineering. The thread, which is led by Jonathan How, the Richard Cockburn Maclaurin Professor of Aeronautics and Astronautics, is offered jointly by the departments of Aeronautics and Astronautics, Mechanical Engineering, and Electrical Engineering and Computer Science.


Online program wins engineering education award

MIT News

The team was chosen for its design and development of a new four-course online professional certification program called Architecture and Systems Engineering: Models and Methods to Manage Complex Systems. Nine faculty members from MIT and more than 25 industry experts from Boeing, NASA, IBM, Apple, General Electric, General Motors, and other companies developed content for the courses. To earn a certificate, students must complete four courses: Architecture of Complex Systems; Models in Engineering; Model-Based Systems Engineering: Documentation and Analysis; and Quantitative Methods in Systems Engineering. ASEE, the award sponsor, created the Excellence in Engineering Education Collaboration Awards to demonstrate best practices in collaboration that enhance engineering education.