You are receiving this email as a Internet Business Systems Subscriber on behalf of NAFES 2010 =============================================================================== Simulation-Based Engineering: Where Do We Go From Here? Monday November 15th | 10am EST Prof. J. Tinsley Oden Register for Free Now: The period of slightly over a half-century, beginning with the emergence of digital computing and the introduction of finite element methods in the mid-twentieth century and ending in the current age of computer modeling and simulation, is but a heart beat in millennia of human existence. But, it is a period of enormous historical significance. During it, the foundations of engineering and science were permanently changed. The traditional heuristic and approximate methods of the past have been rendered obsolete and displaced by quantitative methods for handling models of engineering systems and physical phenomena governed by partial differential equations and, now, by discrete models as well. This has resulted in a revolution of engineering, impacting all aspects of analysis and design, changing the foundations of engineering education, and lifting computer modeling and simulation to the level of a third pillar of scientific discovery. This webcast attempts to answer the question: What's next? What, in particular, can be inferred from the rapid move to miniaturization in many technological areas, the dramatic advances in data-intensive computing, the growing use of imaging, sensors, and feedback control systems in guiding simulations, the widespread interest in the analysis of biological systems and in the simulation of events that take place at cellular and molecular levels, the dramatic progress in biomedical applications, advances in nanomanufacturing, and, in all of these areas, the move toward the development of methods to quantify uncertainties in engineering predictions? One picture that emerges is that engineering analysis itself will become more broadly based and will require interdisciplinary approaches to a multitude of problems that bridge traditional engineering fields. There will arise more frequently a need for models that bridge several spatial and temporal scales, that couple finite element methods to models of microscale events, that are guided by imaging and other data processing systems, and that demand a higher level of specificity in the quality of predictions, their uncertainty, and their variability with uncertain data. Several examples are given to illustrate these issues and to help provide a forecast of computational engineering in 2020. Register for Free Now Webinar Presenter: Prof. J. Tinsley Oden Associate Vice President for Research The University of Texas at Austin Institute for Computational Engineering and Sciences (ICES) Founder and Director =============================================================================== You are subscribed as [_EMAIL_]. If you no longer want to receive news from our MCAD sponsors but want to continue receiving other MCAD newsletters, please visit Otherwise, if your email client supports HTML, please change your format preference to "HTML" for the best viewing experience. To change your personalized CafeNews mailing subscription, go to Copyright (c) 2018. Internet Business Systems, Inc. All rights reserved