Chemical Engineering Data Analysis Made Easy with DataFit

Authors

  • James R. Brenner Florida Institute of Technology

Abstract

The outline for half of a one-credit-hour course in analysis of chemical engineering data is presented, along with a range of typical problems encountered later on in the chemical engineering curriculum that can be used to reinforce the data analysis skills learned in the course. This mini course allows students to be exposed to a variety of ChE topics while, at the same time, teaching them the plotting, spreadsheeting, and curve-fitting skills required in any Introduction to Engineering course.

Author Biography

James R. Brenner, Florida Institute of Technology

James R. Brenner received his B.S. degree from The University of Delaware and M. S. and Ph.D. degrees from The University of Michigan. After a postdoc at Argonne National Laboratory and industrial experience at Westinghouse Savannah River Company, he became an assistant professor of chemical engineering at Florida Institute of Technology His research interests are in hydrogen purification and sensing, electronic noses, and nanoporous materials.

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Published

2006-01-01

Issue

Vol. 40 No. 1 (2006): Winter 2006

Section

Class and Home Problems