Real Data and Application-based Interactive Modules for Data Science Education in Engineering

Abstract

The importance of data science and engineering (DSE) education cannot be overstated and undergraduate education offers a critical link in providing more DSE exposure to students and expanding the supply of DSE talent. Currently significant progress has been made in classwork, while progress in hands-on research experience is still lacking. To help fill this gap, we propose to create data-enabled engineering project (DEEP) modules in the form of interactive Jupyter Notebooks based on real data and applications. We hypothesize that this web-based interactive development and learning environment (IDLE) will enable easy and wide adoption of the DEEP modules by other educators and institutions. In this work, we will present our ideas, the rationale behind the proposed approach, the work in progress, and the future plans for the project.