Designated Emphasis in Computational Science and Engineering

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The dramatic increase in computational power for mathematical modeling and  simulation  has led to the fact that scientific computing  now plays a significant role in the analysis of complex physical systems, such as computer chip manufacturing, battery modeling, turbine design, aircraft prototype  testing, climate change and star formation, to name a few. More recently, too much data has become another compelling problem: radio telescopes, DNA sequencers, particle accelerators, sensor networks, social networks and the internet all collect much more data than humans  can analyze and understand. In this case one needs to use statistics and machine learning, along with data visualization, to extract useful information from the data. The solutions to the mentioned problems share many mathematical, statistical and  computational  techniques in common.