Improvement in Teaching Quality Concepts to Engineers: Measurement, Data Analysis, Experiments and Modeling
Abstract: This paper is authored by Chris Plouff, Paul Stephenson and Shabbir Choudhuri of Grand Valley State University and is included in the 2013 ASQ Advancing the STEM Agenda Conference proceedings.
A pair of courses has been developed to teach engineering students about measurement, data analysis, and statistical modeling concepts used in quality control and quality systems in technical environments. Engineering students take two complementary courses, typically during the first year of the engineering curriculum: Statistical Modeling for Engineers (STA 220) and Engineering Measurement and Data Analysis (EGR 220). The new course pair is designed to provide an introduction to probability and statistical concepts. STA 220 introduces students to statistical tools that can be used to aid in the design of engineering experiments and in the analysis of data generated from these studies. The EGR 220 course provides hands-on, lab experiences which reinforce the material discussed in STA 220, and introduces students to many of the physical tools used in the engineering sciences. Effectively the new STA 220 and EGR 220 courses are a cross-college team teaching effort to teach a highly interdisciplinary topic more effectively than either department could teach these topics alone. This paper discusses how these two courses were developed, the content of the courses, how concepts and methods are interwoven between the two courses for engineering students, and learning outcomes realized.
Keywords: STEM - Conference Proceedings - Engineering - Higher Education Brief