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Kepler vs Newton: Teaching Programming And Math to Almost All-Majors in a Single Classroom

Cited 1 time in Web of Science Cited 2 time in Scopus
Authors

Kim, Seong-Woo

Issue Date
2020-12
Publisher
IEEE
Citation
PROCEEDINGS OF 2020 IEEE INTERNATIONAL CONFERENCE ON TEACHING, ASSESSMENT, AND LEARNING FOR ENGINEERING (IEEE TALE 2020), pp.956-957
Abstract
The fundamentally-required literacy in higher education, even for non-engineering students, has been modified along with the change of social demands, which includes more engineering-tinted basics, such as computer programming, machine learning, artificial intelligence, digital fabrication, and biology. This trend is being accelerated by the rise of artificial intelligence and the worldwide spread of various pandemics. However, from the author's experience, it seems that the currently required subjects are not the same as what has been believed necessary in traditional engineering pedagogical approaches. In this study, we share the experience and lessons learned to teach mathematics and programming to more than one hundred students of machine learning from almost-all majors, in a single classroom.
ISSN
2374-0191
URI
https://hdl.handle.net/10371/186456
DOI
https://doi.org/10.1109/TALE48869.2020.9368332
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