Harmon, B., & Santiago, J. M. (2016, June), Systems Engineering Education and the Role of Analytics, Modeling, and Simulation  Paper presented at 2016 ASEE Annual Conference & Exposition, New Orleans, Louisiana. 10.18260/p.26004

\bibitem{asee_peer_26004}
  Harmon, B., \& Santiago, J. M. (2016, June), \emph{Systems Engineering Education and the Role of Analytics, Modeling, and Simulation}
  Paper presented at 2016 ASEE Annual Conference \& Exposition, New Orleans, Louisiana.
  10.18260/p.26004

Bruce Harmon and John M Santiago Jr.  "Systems Engineering Education and the Role of Analytics, Modeling, and Simulation".  2016 ASEE Annual Conference & Exposition, New Orleans, Louisiana, 2016, June.  ASEE Conferences, 2016.  https://peer.asee.org/26004 Internet.  18 May, 2024

\bibitem{asee_peer_26004}
  Bruce Harmon and John M Santiago Jr.
  "Systems Engineering Education and the Role of Analytics, Modeling, and Simulation".
  \emph{2016 ASEE Annual Conference \& Exposition, New Orleans, Louisiana, 2016, June}.
  ASEE Conferences, 2016.
  https://peer.asee.org/26004 Internet.  18 May, 2024

@INPROCEEDINGS{asee_peer_26004
author = "Bruce Harmon and John M Santiago Jr"
title = "Systems Engineering Education and the Role of Analytics, Modeling, and Simulation"
booktitle = "2016 ASEE Annual Conference \& Exposition"
year = "2016"
month = "June"
address = "New Orleans, Louisiana"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/26004}
number = {10.18260/p.26004}
}

TY  - CPAPER
AB  - Colorado Technical University has offered an MS in Systems Engineering since 2003.  The curriculum was inspired by Boeing, IEEE, INCOSE, the military academies, and commercial best practices from industry.  Central to its value proposition is analysis, modeling, and simulation using advanced mathematics.  Herein we survey the use of such techniques in this degree program and reveal the rationale for each major topic.  We reveal the text books and software used by faculty and students.  We provide examples of problems and solutions in use.  We expose the lessons learned and improvements made to this curriculum since its introduction.  Then we present modifications to curriculum since the 2012 publications of the Systems Engineering Book of Knowledge (SEBoK) and the Graduate Reference Curriculum for Systems Engineering (GRCSE).

Entry into the MSSE requires a BS in an engineering discipline such as electrical, mechanical, aerospace, or optical engineering.  For students with such preparation, the mathematical background may be assumed.  However, we have found that a math refresher that also provides modeling and simulation with Matlab makes a clear improvement in retention and student learning.  We provide examples.

In addition, decision making in the presence of risk is of increasing importance.  Bayesian techniques are rarely part of the undergraduate experience, and we have found that the modern instantiation of the discipline should include that topic.  We provide examples and rationale.

Finally, the emergence of Big Data analytics has been a remarkable development over the last five years and worthy of consideration in many engineering disciplines, especially systems engineering.  We explain its inclusion in the computer science degree programs and reveal plans for it in the engineering curriculum.

AU  - Bruce Harmon
AU  - John M Santiago Jr
CY  - New Orleans, Louisiana
DA  - 2016/06/26
PB  - ASEE Conferences
TI  - Systems Engineering Education and the Role of Analytics, Modeling, and Simulation
UR  - https://peer.asee.org/26004
DO  - 10.18260/p.26004
ER  -