Tiny Machine Learning (tinyML)

Catalog description

In this course, students will study the emerging field of tiny machine learning (tinyML). This field is at the intersection of machine learning (ML) applications and embedded devices/microcontrollers. It requires both software and embedded-hardware knowledge. More specifically, students will follow a hands-on learning approach with training and optimizing ML models in such ways that they are deployable onto tiny microcontrollers. The course will involve work with a Nano 33BLE sense microcontroller.