Electrification, AI, and the Future of Engineering Education

The electrification megatrend is driving the replacement of less efficient technologies and helping us achieve a more sustainable future. With the switch to power electronics, batteries, and electric machines of all sizes, it has become commonplace to deploy more and more embedded devices to control them.

At the same time, with more access to data and computing power than ever before, machine learning is providing us with new ways to develop algorithms. When combined with ever more electronic and programmable machines, we are facing the opportunity and the challenge to build increasingly autonomous systems.

How can engineers architect such complex systems, iterate quickly, and validate their designs along the way? For many companies across industries, from renewable energies to mechatronics or transportation, the answer is Model-Based Design. In this presentation, we will look at how they are leveraging MATLAB^® and domain-specific tools, with Simulink^® as an integration platform to model multidomain systems, validate their behavior, and deploy code for them.

With such convergence of mechanics, electronics, and software, how must the skills of future engineers evolve? We will share examples of how leading universities around the world are adapting their curricula to include more active learning with professional tools to help their students gain interdisciplinary skills and systems thinking.