Clive L. Dym

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This paper is based on the premises that the purpose of engineering education is to graduate engineers who can design, and that design thinking is complex. The paper begins by briefly reviewing the history and role of design in the engineering curriculum. Several dimensions of design thinking are then detailed, explaining why design is hard to learn and(More)
Designers routinely rank alternatives in a variety of settings using a staple of comparison, the pairwise comparison. In recent years questions have been raised about the use of such comparisons as a means of calculating and aggregating meaningful preference or choice data. Results on voting have been used to argue that the positional procedure known as the(More)
This paper provides an overview of the burgeoning new field of expert (knowledge-based) systems. This survey, is tutorial in nature, intended to convey thegestalt of such systems to engineers who are newly exposed to the field. The discussion includes definitions, basic concepts, expert system architecture, descriptions of some of the programming tools and(More)
knowledge specific to the class of artifact being defined) as well as considerable problem-solving skill. Typically, one starts with a description of what function or functions the artifact should perform, and the task of "design" becomes one ofcoming up with an artifact that will function as intended. Knowledge plays a key role in carrying out this task.(More)
This paper discusses the validation of design methods. The challenges and opportunities in validation are illustrated by drawing an analogy to medical research and development. Specific validation practices such as clinical studies and use of models of human disease are discussed, including specific ways to adapt them to engineering design. The implications(More)
Artificial intelligence (AI) applications to design have tended to focus on modeling and automating aspects of single discipline design tasks. Relatively little attention has thus far been devoted to representing the kinds of design 'metaknowledge' needed to manage the important interface issues that arise in concurrent design, that is, multidisciplinary(More)
Less than a decade ago it seemed that a new paradigm of engineering—called computer-aided engineering (CAE) — was emerging. This emergence was driven in part by the success of computer support for the tasks of engineering analysis and in part by a new understanding of how computational ideas largely rooted in artificial intelligence (AI) could perhaps(More)
Design couples synthesis and analysis in iterative cycles, alternatively generating solutions, and evaluating their validity. The accuracy and depth of evaluation has increased markedly because of the availability of powerful simulation tools and the development of domain-specific knowledge bases. Efforts to extend the state of the art in evaluation have(More)