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

\bibitem{asee_peer_32753}
  Norouzi, M., \& Pawloski, J. S., \& Qi, H., \& Jafari, F. (2019, June), \emph{Enhancing Uncertainty Analysis for Engineering Students }
  Paper presented at 2019 ASEE Annual Conference \& Exposition , Tampa, Florida.
  10.18260/1-2--32753

Mahdi Norouzi, Janice S. Pawloski, Huihui Qi, and Farid Jafari.  "Enhancing Uncertainty Analysis for Engineering Students ".  2019 ASEE Annual Conference & Exposition , Tampa, Florida, 2019, June.  ASEE Conferences, 2019.  https://peer.asee.org/32753 Internet.  14 Dec, 2024

\bibitem{asee_peer_32753}
  Mahdi Norouzi, Janice S. Pawloski, Huihui Qi, and Farid Jafari.
  "Enhancing Uncertainty Analysis for Engineering Students ".
  \emph{2019 ASEE Annual Conference \& Exposition , Tampa, Florida, 2019, June}.
  ASEE Conferences, 2019.
  https://peer.asee.org/32753 Internet.  14 Dec, 2024

@INPROCEEDINGS{asee_peer_32753
author = "Mahdi Norouzi, Janice S. Pawloski, Huihui Qi, and Farid Jafari"
title = "Enhancing Uncertainty Analysis for Engineering Students "
booktitle = "2019 ASEE Annual Conference \& Exposition "
year = "2019"
month = "June"
address = "Tampa, Florida"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/32753}
number = {10.18260/1-2--32753}
}

TY  - CPAPER
AB  - 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.              
AU  - Mahdi Norouzi
AU  - Janice S. Pawloski
AU  - Huihui Qi
AU  - Farid Jafari
CY  - Tampa, Florida
DA  - 2019/06/15
PB  - ASEE Conferences
TI  - Enhancing Uncertainty Analysis for Engineering Students 
UR  - https://peer.asee.org/32753
DO  - 10.18260/1-2--32753
ER  -