Cited by 9Design Education and PracticeEngineering Education and PedagogyProbabilistic and Robust Engineering Design

Tolerance For Ambiguity: An Investigation On Its Effect On Student Design Performance

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Mohammed, Susan, Okudan, Gül, Ogot, Madara·2020·2006 Annual Conference & Exposition Proceedings

Abstract

A Practical Guide.His current research interests include design under uncertainty, stochastic optimization and innovative design.

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References 35 · Cited by 9

Research works printed but not linked: 5

  1. Freckleton, J.E. (1995). Student design projects in a design for manufacturing course. ASEE Annual Conference Proceedings, v. 1, Investing in the Future, p. 633-638.
  2. Bradford, D.T., (1991). Beneficial aspects of industrial sponsorship of design projects, National Conference Publication -Institution of Engineers, Australia, n 91 pt 7, Improving the Manufacturing Climate, p 35-39.
  3. Sheppard, S., Jenison, R. (1997). Freshman engineering design experiences: An organization framework. International Journal of Engineering Education, 13(3), p 190-197.
  4. Amon, C.H., Finger, S., Siewiorek, D.P., and Smailagic, A. (1995). Integration of design education, research, practice at Carnegie Mellon University: A Multi-disciplinary course in wearable computer design. Proceedings of the FIE Conference, p.4a1.14-17.
  5. Okudan, G.E. and Devon, R. (2002). Embedding engineering management to product design education. ASEE Annual Conference & Exposition, June 16-19, 2002, Montreal, Canada.

Authors
Mohammed, S., Okudan, G., & Ogot, M.
Affiliations
Pennsylvania State University (US)
Venue
2006 Annual Conference & Exposition Proceedings
Published
2020-09-03
Pages
11.1343.1-11.1343.9
OpenAlex
W2601355760
Cited by
9
References
35
Citations by year
2024: 5 · 2023: 1 · 2022: 1 · 2019: 1 · 2018: 1
FWCI
1.23
Type
conference paper
Language
en
Open access
Locations
ASEE Annual Conference & Exposition (publishedVersion)
Funders
  • American Society for Engineering Education
  • Air Force Research Laboratory
Topics
  • Physical Sciences › Engineering › Mechanical Engineering › Design Education and Practice
  • Physical Sciences › Engineering › Architecture › Engineering Education and Pedagogy
  • Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Probabilistic and Robust Engineering Design
Keywords
ambiguity tolerance, design performance, design under uncertainty, stochastic optimization, design innovation, engineering students

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