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Scientific computing utilizes tools of applied mathematics and computer science in order to create theory, methods and, finally, computer systems so that numerical problems arising in natural sciences, engingeering, economics and many other areas can be solved efficiently. In other words, scientific computing covers mathematical modelling and analysis of problems arising in sciences, the development of numerical approximation methods for the practical solution of the models and the study of efficient implementation of the methods in different computer environments. Scientific computing means developing interdisciplinary approaches as alternatives to empirical and theoretical research. When mathematical models have been prepared of the phenomena considered, they can be used, for example, for computer-based simulation or optimization, that is, for improving the performance or even finding the best possible performance. The fundamental goal is often to support decision making.
Head of the programme