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This paper reports on a study of engineering graduates identified as high performers by their work supervisors. The study involved 20 graduates from different universities working in seven companies covering electrical, civil, mechanical, telecommunications and environmental engineering. The aim of the study was to identify the capabilities that were seen to be most important for successful engineering practice during the first few years after graduation, and to evaluate the extent to which universities were typically developing these capabilities. The reported study is a pilot for a larger scale study of a number of professional disciplines which will be used to shape the ongoing evolution of the undergraduate programmes in these disciplines at UTS. The results reaffirm the fact that while technical expertise is a necessary capability for successful practice it is certainly not sufficient. A range of 'emotional intelligence' capabilities appears to be judged by graduates and their supervisors alike as be...

The EVOLVE long-term orbital debris evolution model developed for the NASA Johnson Space Center by Lockheed Engineering and Sciences Company and Systems Planning Corporation is described and evaluated in detail. This computer model calculates the low earth orbit (LEO) debris spatial number density or flux environment as a function of fragment size, altitude, and time. Launched intact objects, introduced from detailed manifest databases, are time-evolved with an analytical orbit propagator. Debris clouds, formed from the application of cloud formation algorithm and breakup model, are time-evolved using a derived phenomenological function. This report describes the overall computer model (e.g., its deterministic and stochastic modes of calculation) and examines the individual submodels used to quantify the debris population in LEO. Model results are compared to observed debris data. Specific recommendations and possible model improvements are cited. Also presented is a sample satellite constellation hazard assessment using EVOLVE. (MM)