Search

This graduate-level course delves into the intersection of machine learning and robotics. The curriculum will explore the integration of contemporary learning techniques in robotic areas such as manipulation, navigation, planning, control, decision...

In the rapidly evolving landscape of technology, artificial intelligence (AI) has emerged as a transformative force with significant implications for public policy. This course is designed to provide students with a comprehensive understanding of...

Deep Learning, a core of modern Artificial Intelligence, is rapidly expanding to resourceconstrained devices, including smartphones, wearables, and intelligent embedded systems for improving response time, privacy, and reliability. This course...

This is an introductory course for engineering students to gain basic knowledge of machine learning and its applications. This course's objective is to learn machine learning theory and then apply it in engineering practice. A major emphasis of the...

Do we yet have the technology to engineer life? Can we control gene expression to create organisms that function in useful ways? Do we understand the tenets of genetic regulation as well as we think we do? These important questions and more are...

A semester-long independent study may be used as a substitute for an existing AE course or as an opportunity to study an aerospace engineering topic not currently offered as a course at WPI. The course can be offered to a student or a group of...

This exam is graded using the Pass/Fail (P/Fail) grading system and has no retake. If a student
fails to register or fails to earn a Pass (P) in AE 691 prior to completion of 18 credits after admission
to the Ph.D. program, the student must withdraw...

For doctoral students within a year after the Qualifying Exam and admission to candidacy.