Journal Published Online: 18 March 2021
Volume 5, Issue 2

Problem-Based Learning on Incorporation of Data Analysis Skills into Chemical Engineering Senior Advanced Analysis Course

CODEN: SSMSCY

Abstract

Through years of production, the chemical process industry has accumulated rich data assets. In the age of information and artificial intelligence, processing facilities are using data in new ways to improve efficiency, reliability, and safety. However, a skilled workforce is in shortage. To embrace the digital transformation, chemical engineering students need to get in-depth training for data analytics skills. In a senior Advanced Analysis class, a problem-based learning approach was utilized to incorporate data analysis skills into traditional curriculum using real-world problems and real plant data. Students diagnosed process operation data and planned maintenance for a series of heat exchangers based on condition rather than time. This approach was well received by the students, some of whom eventually became process engineers or maintenance engineers who are using this skill in their work.

Author Information

Lou, Helen H.
Dan F. Smith Department of Chemical & Biomolecular Engineering, Lamar University, Beaumont, TX, USA
Chen, Yifan
Dan F. Smith Department of Chemical & Biomolecular Engineering, Lamar University, Beaumont, TX, USA
Singh, Ravinder
Dan F. Smith Department of Chemical & Biomolecular Engineering, Lamar University, Beaumont, TX, USA
Pages: 9
Price: Free
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Details
Stock #: SSMS20200027
ISSN: 2520-6478
DOI: 10.1520/SSMS20200027