The master’s in machine learning engineering from Drexel Engineering provides the skills needed to take on the transformation of science and technology and a successful career in an exciting ...

"Learning is one of the most personal things that people do; engineering provides problem-solving methods to enable learning at scale. How do we resolve this paradox?" —Ellen Wagner Learning ...

Learning engineering has taken many forms since the term was coined by Herbert Simon back in the 1960s. Ellen Wagner, who chairs IEEE's ICICLE SIG on Learning Engineering Among the Professions offers ...

Control engineering integrates classical feedback principles with modern intelligent methodologies to direct dynamic processes across diverse applications. In mechatronics, this discipline unites ...

A new machine-learning technique can efficiently learn to control a robot, leading to better performance with fewer data. Researchers from MIT and Stanford University have devised a new ...

Choose coursework based on your interests, and you’ll be prepared to build and manage systems for renewable energy or work with smart buildings. Whatever you decide, you’ll have a strong support ...

“Geometric deep learning is likely going to be part of the standard AI-powered engineering process in five years for most companies,” says Altair’s VP of engineering data science Earlier this year we ...

Educational courses in areas such as control, robotics, manufacturing, mechanical, and chemical engineering are characterized by extensive theoretical ...

Ekaterina Rzyankina does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations ...

Our Master of Science degree program in systems and control engineering provides students with the essential skills and tools to combine the efforts of several engineering fields. At the Case School ...