Teaching Statistical Experimental Design Using a Laboratory Experiment

Ludlow, Douglas K.; Schulz, Kirk H.; Erjavec, John

doi:10.1002/j.2168-9830.1995.tb00190.x

Cited by 7 publications

(5 citation statements)

References 2 publications

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“…The engineering education literature describes several methods for students to learn statistical design of experiments. [4][5][6] Such literature deals with the determination of the smallest number of tests that give the needed answer, factorial design of experiments to determine main effects and interactions, and parametric studies to determine the constitutive behavior of a component or system. The abilities to apply statistics to experimental design and data interpretation are a valuable skill for an engineering graduate.…”

Section: Design Of Experimentsmentioning

confidence: 99%

Developing a Systems Approach to Engineering Problem Solving and Design of Experiments in a Racecar‐Based Laboratory Course

Lyons

Young

2001

J of Engineering Edu

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A capstone mechanical engineering laboratory course is being implemented at the University of South Carolina that develops the student's abilities to analyze complex mechanical and thermal systems, to design experiments, and to develop their professional skills. The course is based upon an integrated sequence of laboratory experiments on a Legends-class racecar. This vehicle is chosen as the system of study because it provides opportunities for the students to apply the spectrum of their mechanical engineering knowledge. It's also exciting to the students. As the students progress through the series of experiments, they are increasingly involved in experimental design (selecting sensors, sensor locations and experimental operating conditions). The course culminates in a truly open-ended design of an experiment of their choosing. Journal of Engineering Education 111 higher-order thinking skills. (a) Level 1: conduct experiments; (b) Level 2: redesign experiments; (c) Level 3: design experiments. Figure 2. To develop design of experiment abilities, the students complete laboratory projects in levels that required progressively

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Section: Design Of Experimentsmentioning

confidence: 99%

Developing a Systems Approach to Engineering Problem Solving and Design of Experiments in a Racecar‐Based Laboratory Course

Lyons

Young

2001

J of Engineering Edu

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“…These applications have evolved from forms that are quite similar to conventional printed material to the development of interactive simulations that give students a hands-on learning experience of specific statistics concepts, e.g., the central limit theorem or sampling distributions [11]. However, integrated capstone experiences for students to apply statistics are not so common.…”

Section: Introductionmentioning

confidence: 99%

The Virtual CVD Learning Platform

Koretsky

Amatore

Barnes

et al. 2006

Proceedings. Frontiers in Education. 36th Annual Conference

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-The Virtual CVD Learning Platform provides a capstone experience in which students synthesize engineering science and statistics principles. They apply Design of Experiments (DOE) in the context similar to that of industry with a wider design space than is typically seen in the undergraduate lab. The Virtual CVD Learning Platform contains a numerical simulation of a chemicalvapor deposition (CVD) reactor and is based on fundamental principles of mass transfer and chemical reaction, obscured by added "noise." The Virtual CVD Learning Platform is available for interested educators; moreover, it is self-contained so that it can be placed with versatility where it fits in a given program's curriculum. While the platform chosen is specific to the microelectronics industry, it is expected the lessons learned may be applied to any process. The software application contains a 3D graphical user interface, the calculation engine, a database, and an instructor interface with integrated assessment tools. A robust assessment plan using a model of cognition based on a modification of Bloom's taxonomy of learning is described. This assessment was implemented in Winter 2006.

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“…The introduction of statistical experimental design through laboratory experiences in upper level engineering courses has been addressed previously 1,2,3,4 . Ludlow et al 2 address the importance of the application of statistics as a skill needed by undergraduate engineers and present a simple gas chromatography experiment which allows students to develop statistical skills without being bogged down by a complicated experiment. McCluskey et al 5 describe a simple experiment that uses a factorial design to determine the best cup of coffee, but the quantification of experimental results posed a challenge.…”

Section: Introductionmentioning

confidence: 99%