An Interdisciplinary Project-Based Learning Approach for Engineering and CS+[X] Students through AI-Enabled Biomedical Imaging System

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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 languageEnglish (US)
Title of host publicationISCAS 2023 - 56th IEEE International Symposium on Circuits and Systems, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665451093
DOIs
StatePublished - 2023
Event56th IEEE International Symposium on Circuits and Systems, ISCAS 2023 - Monterey, United States
Duration: May 21 2023May 25 2023

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
Volume2023-May
ISSN (Print)0271-4310

Conference

Conference56th IEEE International Symposium on Circuits and Systems, ISCAS 2023
Country/TerritoryUnited States
CityMonterey
Period05/21/2305/25/23

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

Fingerprint

Dive into the research topics of 'An Interdisciplinary Project-Based Learning Approach for Engineering and CS+[X] Students through AI-Enabled Biomedical Imaging System'. Together they form a unique fingerprint.

Cite this