A Role for Virtual Engineering in Engineering Skills Development

The paper will address how the Problem-Based-Learning (PBL) approach developed at Liverpool for undergraduate and graduate students has been extended to the continued professional development (CPD) of practising engineers. As the complexity of engineering systems grows, engineers increasingly need to be able to use a range of tools to undertake synthesis and analysis, address affordability goals, and reduce risk as they work in the various phases of the engineering life-cycle. To assist engineers operate successfully within this product life-cycle, there have been significant developments in modelling and simulation tools. Integrating these tools in a Virtual Engineering (VE) environment allows engineers to examine potentially conflicting requirements within the different phases of the life-cycle, to develop a co-ordinated approach to requirements capture and product design through to identifying costly problems that might occur later in the development and operations phases. Technical skills development to use these tools is critical in this process. This paper presents the experiences, learning outcomes and lessons gleaned in the development and implementation of bespoke rotorcraft engineering training programmes at The University of Liverpool. The programmes were designed using a Problem Based Learning (PBL) framework where knowledge and skills are gained through solving problems. Four cases studies are presented in the paper, demonstrating how this PBL/VE approach has been used effectively in training programmes. Consideration is given to the future use of VE tools, together with some challenges for their successful application

The Northern ROSAT All-Sky (NORAS) Galaxy Cluster Survey I: X-ray Properties of Clusters Detected as Extended X-ray Sources

In the construction of an X-ray selected sample of galaxy clusters for cosmological studies, we have assembled a sample of 495 X-ray sources found to show extended X-ray emission in the first processing of the ROSAT All-Sky Survey. The sample covers the celestial region with declination $\delta \ge 0\deg$ and galactic latitude $|b_{II}| \ge 20\deg$ and comprises sources with a count rate $\ge 0.06$ counts s$^{-1}$ and a source extent likelihood of 7. In an optical follow-up identification program we find 378 (76%) of these sources to be clusters of galaxies. ...Comment: 61 pages; ApJS in press; fixed bug in table file; also available at (better image quality) http://www.xray.mpe.mpg.de/theorie/NORAS