Abstract
The experience of using project-based learning (PBL) methods is talked about in the context of training STEM (science, technology, engineering, and math) students for the real-world scenarios in the industry. In this paper, a PBL strategy is proposed as a pedagogical tool targeting undergraduate engineering and CS+[X] students through the design of a biomedical imaging system for breast cancer detection. The primary goals of this interdisciplinary project are, firstly, to train students to implement the theoretical knowledge towards design of engineering product directly targeting one or more sustainable development goals; secondly, to motivate students to choose to learn more about biomedical imaging system development while appreciating the need of interdisciplinary approach in solving a complex engineering problem; and finally, to make students realize the need for technological innovations in the development of portable and cost-effective diagnostic products for developing countries. During the design and implementation of this project, students' competencies have improved significantly which reassures the usefulness of PBL as a pedagogical approach in student-centered learning.
Original language | English (US) |
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Title of host publication | ISCAS 2023 - 56th IEEE International Symposium on Circuits and Systems, Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781665451093 |
DOIs | |
State | Published - 2023 |
Event | 56th IEEE International Symposium on Circuits and Systems, ISCAS 2023 - Monterey, United States Duration: May 21 2023 → May 25 2023 |
Publication series
Name | Proceedings - IEEE International Symposium on Circuits and Systems |
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Volume | 2023-May |
ISSN (Print) | 0271-4310 |
Conference
Conference | 56th IEEE International Symposium on Circuits and Systems, ISCAS 2023 |
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Country/Territory | United States |
City | Monterey |
Period | 05/21/23 → 05/25/23 |
Bibliographical note
Publisher Copyright:© 2023 IEEE.
Keywords
- Biomedical Imaging system
- Breast Cancer detection
- Machine Learning
- Project Based Learning
ASJC Scopus subject areas
- Electrical and Electronic Engineering