Encouraging Mechanical Engineering Students to Learn Machine Learning via Project-based Learning

Abstract

This poster aims at providing an interdisciplinary course (Medical Mechatronics and Control/ ME5053 in National Taiwan University/ Senior Undergraduate/ Graduate Students) designed to encourage the mechanical engineering (ME) students to learn about machine learning (ML) through project-based learning (PBL). Our syllabus design involves the electromyography (EMG) data collection, datasets and ML, and robotic manipulator control through recognizing EMG patterns via ML. Thus, students in ME become more attracted to learning computer science ML techniques through participation in robot-related courses via recognizing and classifying real EMG data.