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Daniel D. Frey
Researcher at Massachusetts Institute of Technology
Publications - 96
Citations - 5007
Daniel D. Frey is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Engineering design process & Systems design. The author has an hindex of 22, co-authored 95 publications receiving 4536 citations. Previous affiliations of Daniel D. Frey include Franklin W. Olin College of Engineering & Western Atlas.
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Engineering Design Thinking, Teaching, and Learning
TL;DR: In this article, the purpose of engineering education is to train engineers who can design, and that design thinking is difficult to learn and difficult to teach, and the most popular pedagogical model for teaching design is Project-Based Learning (PBL).
Journal ArticleDOI
Engineering design thinking, teaching, and learning
TL;DR: In this paper, the purpose of engineering education is to train engineers who can design, and that design thinking is difficult to learn and difficult to teach, and the most popular pedagogical model for teaching design is Project-Based Learning (PBL).
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A role for "one-factor-at-a-time" experimentation in parameter design
TL;DR: In this paper, the role of one-at-a-time experimentation in parameter design of engineering systems is explored and a map of expected gains in performance is provided as a function of the degree of pure experimental error and the strength of interactions among experimental factors.
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Validation of design methods: lessons from medicine
Daniel D. Frey,Clive L. Dym +1 more
TL;DR: In this article, the challenges and opportunities in validation of design methods are illustrated by drawing an analogy to medical research and development, including specific validation practices such as clinical studies and use of models of human disease.
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Regularities in Data from Factorial Experiments
TL;DR: A meta-analysis of 113 data sets from published factorial experiments shows that a preponderance of active two-factor interaction effects are synergistic, meaning that when main effects are used to increase the system response, the interaction provides an additional increase and that when the interactions generally counteract the main effects.