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

被引：0

作者：

Kuo, Chung-Hsien ^{[1
]}

Wu, Shih-Lin ^{[2
]}

机构：

[1] Natl Taiwan Univ, Dept Mech Engn, Taipei, Taiwan

[2] Chang Gung Univ, Dept Comp Sci & Informat Engn, Taoyuan, Taiwan

来源：

PROCEEDINGS OF THE 2023 CONFERENCE ON INNOVATION AND TECHNOLOGY IN COMPUTER SCIENCE EDUCATION, ITICSE 2023, VOL. 2 | 2023年

关键词：

Mechanical engineering students; machine learning; interdisciplinary; project-based learning;

D O I：

10.1145/3587103.3594168

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：634 / 634

页数：1

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