Malzahn, D. E., & Whitman, L. E., & Ghobahi Katamjani, A. (2014, June), Efficiency Measure for Colleges of Engineering  Paper presented at 2014 ASEE Annual Conference & Exposition, Indianapolis, Indiana. 10.18260/1-2--20356

\bibitem{asee_peer_20356}
  Malzahn, D. E., \& Whitman, L. E., \& Ghobahi Katamjani, A. (2014, June), \emph{Efficiency Measure for Colleges of Engineering}
  Paper presented at 2014 ASEE Annual Conference \& Exposition, Indianapolis, Indiana.
  10.18260/1-2--20356

Don E. Malzahn, Lawrence E. Whitman, and Ali Ghobahi Katamjani.  "Efficiency Measure for Colleges of Engineering".  2014 ASEE Annual Conference & Exposition, Indianapolis, Indiana, 2014, June.  ASEE Conferences, 2014.  https://peer.asee.org/20356 Internet.  14 Dec, 2024

\bibitem{asee_peer_20356}
  Don E. Malzahn, Lawrence E. Whitman, and Ali Ghobahi Katamjani.
  "Efficiency Measure for Colleges of Engineering".
  \emph{2014 ASEE Annual Conference \& Exposition, Indianapolis, Indiana, 2014, June}.
  ASEE Conferences, 2014.
  https://peer.asee.org/20356 Internet.  14 Dec, 2024

@INPROCEEDINGS{asee_peer_20356
author = "Don E. Malzahn, Lawrence E. Whitman, and Ali Ghobahi Katamjani"
title = "Efficiency Measure for Colleges of Engineering"
booktitle = "2014 ASEE Annual Conference \& Exposition"
year = "2014"
month = "June"
address = "Indianapolis, Indiana"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/20356}
number = {10.18260/1-2--20356}
}

TY  - CPAPER
AB  -                                                                     Efficiency Measure for Colleges of EngineeringAs the need for engineers is increasing, there is a decrease in public funding. Although eachcollege of engineering has a unique mission, there may be exemplar programs that can provideguidance in the continuous improvement (efficiency) of engineering education.A Data Envelopment based model using the number of faculty as the system input and B.S.,M.S., PhD degrees, and research expenditures as measures of output. Data was drawn from theASEE data mining tool over a three year period (2010-2012) for 186 colleges of engineering. Anon-dominated set of 29 colleges was identified, and a regression surface fit to these programs.The numbers of BS and MS degrees have similar impacts on efficiency while the number PhDdegrees relates to research expenditures only at higher levels of BS and MS degree production.This approach can be used by a college to set realistic objectives for improvement through acomparison with the closest non-dominated program.
AU  - Don E. Malzahn
AU  - Lawrence E. Whitman
AU  - Ali Ghobahi Katamjani
CY  - Indianapolis, Indiana
DA  - 2014/06/15
PB  - ASEE Conferences
TI  - Efficiency Measure for Colleges of Engineering
UR  - https://peer.asee.org/20356
DO  - 10.18260/1-2--20356
ER  -