June 15, 2019
June 15, 2019
October 19, 2019
Uncertainty is involved in all engineering measurements, and it must be taken into account before making any critical engineering decision. It is essential to draw the attention of engineering students to uncertainty analysis. The law of propagation of uncertainty is conventionally taught in undergraduate engineering programs. However, many students find it cumbersome and intimidating for complex performance functions. In this paper, two alternative methods, Monte Carlo Simulation (MCS) and Sequential Perturbation (SP) are discussed, and their effectiveness in understanding and applying the notion of uncertainty is investigated. The MCS and SP methods are introduced to a group of junior engineering students, who are already familiar with the law of propagation of uncertainty. The students’ perception of uncertainty analysis and their performance in conducting uncertainty analysis through a class activity are compared after the new methods are introduced.
Norouzi, M., & Pawloski, J. S., & Qi, H., & Jafari, F. (2019, June), Enhancing Uncertainty Analysis for Engineering Students Paper presented at 2019 ASEE Annual Conference & Exposition , Tampa, Florida. 10.18260/1-2--32753
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