Ford Versypt, A. N. (2019, June), An Interdisciplinary Elective Course to Build Computational Skills for Mathematical Modeling in Science and Engineering  Paper presented at 2019 ASEE Annual Conference & Exposition , Tampa, Florida. 10.18260/1-2--32072

\bibitem{asee_peer_32072}
  Ford Versypt, A. N. (2019, June), \emph{An Interdisciplinary Elective Course to Build Computational Skills for Mathematical Modeling in Science and Engineering}
  Paper presented at 2019 ASEE Annual Conference \& Exposition , Tampa, Florida.
  10.18260/1-2--32072

Ashlee N. Ford Versypt.  "An Interdisciplinary Elective Course to Build Computational Skills for Mathematical Modeling in Science and Engineering".  2019 ASEE Annual Conference & Exposition , Tampa, Florida, 2019, June.  ASEE Conferences, 2019.  https://peer.asee.org/32072 Internet.  26 Feb, 2025

\bibitem{asee_peer_32072}
  Ashlee N. Ford Versypt.
  "An Interdisciplinary Elective Course to Build Computational Skills for Mathematical Modeling in Science and Engineering".
  \emph{2019 ASEE Annual Conference \& Exposition , Tampa, Florida, 2019, June}.
  ASEE Conferences, 2019.
  https://peer.asee.org/32072 Internet.  26 Feb, 2025

@INPROCEEDINGS{asee_peer_32072
author = "Ashlee N. Ford Versypt"
title = "An Interdisciplinary Elective Course to Build Computational Skills for Mathematical Modeling in Science and Engineering"
booktitle = "2019 ASEE Annual Conference \& Exposition "
year = "2019"
month = "June"
address = "Tampa, Florida"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/32072}
number = {10.18260/1-2--32072}
}

TY  - CPAPER
AB  - A cross-listed upper division and graduate elective course for students in science, technology, engineering, and mathematics (STEM) fields has been developed to build computational skills in mathematical modeling. The course aims to fills a gap in the practical training of students starting computational research projects across various STEM disciplines who have inconsistent previous experiences in computer programming and numerical methods. This is achieved by covering modern software tools for mathematical modeling in science and engineering and for reproducible research computing via an active, hands-on approach supplemented by reading materials. Rather than covering just the basics of programming or detailed algorithms for numerical methods, the course is geared towards implementing tools for solving realistic continuum scale science and engineering problems, managing open source code projects, and disseminating computational research results through scientific documentation and publications. The course is taught by a chemical engineering faculty member with research expertise in applied mathematics and computational science and engineering. MATLAB and Python are taught side-by-side throughout the course. The paper describes the course with the goal of enabling other educators to adapt and reuse the course content.
AU  - Ashlee N. Ford Versypt
CY  - Tampa, Florida
DA  - 2019/06/15
PB  - ASEE Conferences
TI  - An Interdisciplinary Elective Course to Build Computational Skills for Mathematical Modeling in Science and Engineering
UR  - https://peer.asee.org/32072
DO  - 10.18260/1-2--32072
ER  -