Machine learning is transforming the way engineers tackle complex challenges — from predicting structural failures to designing new medical technologies. In this section, you’ll build a strong foundation in computational machine learning and discover how modern engineers use data-driven models to drive innovation.
How do innovative technologies lead to new products? And how can you, as an engineer, identify valuable opportunities for new innovations? This section explores the intersections of engineering and business with a focus on identifying, developing, and evaluating the viability of new product opportunities for an innovative platform technology.
In this course, we will provide a comprehensive introduction to the captivating realm of wearable electronics.This course combines material physics, chemistry, and engineering, based on which we can create wearable electronics that are reshaping the future of renewable energy, healthcare, and soft robotics.
How can we make engineering more sustainable and more beneficial to people and the environment? If that’s a question you care about, this is the E100 section for you. This is a course about sustainable materials and user-centered engineering design. Our goal is to teach sustainable engineering practices that will be useful to nearly all engineers.
In this class, students will learn how to use a systems approach to build a sensor board using a micro-controller to take both in situ and remotely sensed observations of a high-altitude environment.