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We propose effective teaching strategies to help teams of students in spacecraft design projects in the first or second semester in the sophomore year in the aerospace engineering curriculum move from being "beginning designers" to being "informed designers." The focus here is on one dimension in the Matrix of Informed Design that is suggested by Crismond and Adams (in review), namely, Haphazard or Linear versus Managed and Iterative Designing. The objective is to instill in students systems management skills and greater appreciation for iteration in design by providing a unique context. This will be provided through the use of the development story of the Apollo Lunar Module as a historical case study in which students can observe design iterations in the larger system in which the spacecraft existed, with particular emphasis on cost and schedule. In this paper we describe the teaching strategy and the elements of the historical case as a unique way to contextualize design learning by understanding the kinds of iteration that occur and why they occur; implementing and assessing the strategy will be a focus of future work.
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This text provides a comprehensive treatment of educational research. It opens with an accessible introduction to research and then covers the general steps in the process of research. The final chapters are devoted to the major designs in quantitative, qualitative, and mixed methods research.
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This paper extends the literature of engineering design process modeling. We focus on the modeling of design iterations using a task-based description of a development project. We present a method to compute process performance and to relate this outcome to critical activities within the process.
Design tasks are modeled as discrete-event activities with design information flowing between them. With every design task, we associate process characteristics such as the completion time and cost per time unit for the task. These characteristics can change with the advance of the design process. The method is especially suited for comparison of different design processes on the basis of overall process costs and lead time.
In order to illustrate the method a simple design process was modeled as an example. Based on this model the process lead time distribution and the process costs were simulated.
