Scientific computing is highly realistic modeling of real world objects such as business models or algorithms that deal with data that can pertain to things like trends or societal interests using specific copmutational methods taht is dubbed "scientific computation". A common area that scientific computation can be seen is in business that need to track their finances, profit margins, and predict future trends that will affect their business.
Scientific computation is mathematical and informatical basis of a numerical simulation. Scientific computing reconstructs or predicts future trends or process that are used heavily in business, sciences, and engineering. This is the third way to obtain knowledge or data apart from theories and experiments.
In scientific computing, the objectives and goals depend on what the task is. It can be to reconstruct and understand certain situations like natural disasters, or optimize scenarios like improving the processing power and efficiency of a computer. And it can be used to predict scenarios such as weather and new materials.
Needless to say, scientific computing is an invaluable tool in a competitive economy and scientific community
http://www.brockport.edu/cps/whatis.html
http://www5.in.tum.de/lehre/vorlesungen/sci_comp/ws03/material/slides01.pdf
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