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Experiments for a Computing Class

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Conference

2023 ASEE Annual Conference & Exposition

Location

Baltimore , Maryland

Publication Date

June 25, 2023

Start Date

June 25, 2023

End Date

June 28, 2023

Conference Session

Chemical Engineering Division (ChED) Technical Session 6: First-Year & Sophomore Year Curriculum

Tagged Division

Chemical Engineering Division (ChED)

Page Count

8

DOI

10.18260/1-2--43591

Permanent URL

https://peer.asee.org/43591

Download Count

245

Paper Authors

biography

Christi L. Patton Luks Missouri University of Science and Technology

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Dr. Patton earned a B.S. in Chemical Engineering from Texas A&M University, an M.S. in Applied Mathematics from The University of Tulsa, and a Ph.D. in Chemical Engineering from The University of Tulsa. She is currently Teaching Professor of Chemical Engineering at Missouri University of Science & Technology and serves as PIC 1 chair until June 2022.

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Abstract

The course description for Numerical Computing for Chemical Engineers course at xxx states that students will “add to their programming skills by exploring numerical computational techniques for … chemical engineering processes.” The challenge is that the course is taught early in the curriculum before the students know what those chemical engineering processes are. The course has been structured as a flipped class with class time devoted to solving problems with the numerical tools. To provide relevance for the material, an experimental component has been added to the course. In the laboratory sessions, the students conduct a brief experiment or activity and then analyze that process using the computational technique for the week. The activities and experiments take no more than 10 minutes to conduct and use inexpensive materials. In this paper, the author will present how the course was flipped to accommodate the lab sessions, describe the experiments used in the course, and relay the student response to this course.

Patton Luks, C. L. (2023, June), Experiments for a Computing Class Paper presented at 2023 ASEE Annual Conference & Exposition, Baltimore , Maryland. 10.18260/1-2--43591

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