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A Team Taught Undergraduate Course on Data Mining

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Conference

2022 ASEE Annual Conference & Exposition

Location

Minneapolis, MN

Publication Date

August 23, 2022

Start Date

June 26, 2022

End Date

June 29, 2022

Conference Session

CIT Division Technical Session #10

Page Count

9

DOI

10.18260/1-2--41471

Permanent URL

https://peer.asee.org/41471

Download Count

231

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Paper Authors

biography

Yosi Shibberu Rose-Hulman Institute of Technology

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Dr. Yosi Shibberu is a mathematics professor at Rose-Hulman Institute of Technology. He has taught undergraduate courses on data mining, machine learning, deep learning, bioinformatics and computational biology. Dr. Shibberu spent a year at Jimma University, Ethiopia, as a Fulbright Scholar and formerly held the endowed chair for innovation in science, engineering and mathematics education at Rose-Hulman Institute of Technology.

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Steve Chenoweth Rose-Hulman Institute of Technology

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Abstract

We summarize our experience team teaching an undergraduate data mining course and provide recommendations for those interested in developing and teaching their own course. We also compare and contrast our course to other data mining courses. Our course has been team taught four times by a computer science and a mathematics professor. We developed a mathematics and a computer science version of the data mining course that are identical except that the computer science version requires the course project to have an interactive data-driven website as one of the deliverables. We describe how the topics covered in the courses have evolved. We also discuss the learning outcomes we have developed for the courses and methods we use to assess whether students have achieved these learning outcomes.

Shibberu, Y., & Chenoweth, S. (2022, August), A Team Taught Undergraduate Course on Data Mining Paper presented at 2022 ASEE Annual Conference & Exposition, Minneapolis, MN. 10.18260/1-2--41471

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