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

Chung Hsien Kuo; Shih Lin Wu

doi:10.1145/3587103.3594168

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

Chung Hsien Kuo, Shih Lin Wu

Department of Computer Science and Information Engineering

National Taiwan University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	ITiCSE 2023 - Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education
Publisher	Association for Computing Machinery
Pages	634
Number of pages	1
ISBN (Electronic)	9798400701399
DOIs	https://doi.org/10.1145/3587103.3594168
State	Published - 29 06 2023
Event	28th Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE 2023 - Turku, Finland Duration: 08 07 2023 → 12 07 2023

Publication series

Name	Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE
Volume	2
ISSN (Print)	1942-647X

Conference

Conference	28th Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE 2023
Country/Territory	Finland
City	Turku
Period	08/07/23 → 12/07/23

Bibliographical note

Publisher Copyright:
© 2023 Owner/Author.

Keywords

interdisciplinary
machine learning
mechanical engineering students
project-based learning

Access to Document

10.1145/3587103.3594168

Cite this

Kuo, C. H., & Wu, S. L. (2023). Encouraging Mechanical Engineering Students to Learn Machine Learning via Project-based Learning. In ITiCSE 2023 - Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education (pp. 634). (Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE; Vol. 2). Association for Computing Machinery. https://doi.org/10.1145/3587103.3594168

Kuo, Chung Hsien ; Wu, Shih Lin. / Encouraging Mechanical Engineering Students to Learn Machine Learning via Project-based Learning. ITiCSE 2023 - Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education. Association for Computing Machinery, 2023. pp. 634 (Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE).

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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.",

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author = "Kuo, {Chung Hsien} and Wu, {Shih Lin}",

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Kuo, CH & Wu, SL 2023, Encouraging Mechanical Engineering Students to Learn Machine Learning via Project-based Learning. in ITiCSE 2023 - Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education. Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE, vol. 2, Association for Computing Machinery, pp. 634, 28th Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE 2023, Turku, Finland, 08/07/23. https://doi.org/10.1145/3587103.3594168

Encouraging Mechanical Engineering Students to Learn Machine Learning via Project-based Learning. / Kuo, Chung Hsien; Wu, Shih Lin.
ITiCSE 2023 - Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education. Association for Computing Machinery, 2023. p. 634 (Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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.

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Kuo CH, Wu SL. Encouraging Mechanical Engineering Students to Learn Machine Learning via Project-based Learning. In ITiCSE 2023 - Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education. Association for Computing Machinery. 2023. p. 634. (Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE). doi: 10.1145/3587103.3594168

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

Abstract

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Bibliographical note

Keywords

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