poster

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

Authors:

Chung-Hsien Kuo,

Shih-Lin WuAuthors Info & Claims

ITiCSE 2023: Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 2

Page 634

https://doi.org/10.1145/3587103.3594168

Published: 29 June 2023 Publication History

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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.

References

[1]

Mario Guimaraes, Huwida Said, and Richard Austin, 2011. Using video games to teach security. ITiCSE '11, pp. 346 https://doi.org/10.1145/1999747.1999860

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[2]

Sergio Fuentes del Toro, Yuyang Wei, Ester Olmeda, Lei Ren, Wei Guowu, and Vicente Díaz, 2019. Validation of a Low-Cost Electromyography (EMG) System via a Commercial and Accurate EMG Device: Pilot Study. Sensors, 19(23), 5214. https://doi.org/10.3390/s19235214

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Index Terms

Encouraging Mechanical Engineering Students to Learn Machine Learning via Project-based Learning
1. Computing methodologies
  1. Machine learning
    1. Machine learning approaches

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Information & Contributors

Information

Published In

ITiCSE 2023: Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 2

June 2023

694 pages

ISBN:9798400701399

DOI:10.1145/3587103

General Chairs:
Mikko-Jussi Laakso
University of Turku, Finland
,
Mattia Monga
University of Milan, Italy
,
Program Chairs:
Simon
Unaffiliated, Australia
,
Judithe Sheard
Monash University, Australia

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 29 June 2023

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Poster

Funding Sources

Smart Manufacturing Interdisciplinary Integration Talent Cultivation Alliance Program, Ministry of Education, Taiwan

Conference

ITiCSE 2023

Sponsor:

SIGCSE

ITiCSE 2023: Innovation and Technology in Computer Science Education

July 7 - 12, 2023

Turku, Finland

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Overall Acceptance Rate 552 of 1,613 submissions, 34%

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