Scientific and Engineering Computing
Using programming skills to exploit the broad power of modern computing related to science and engineering disciplines. Computational techniques are taught in parallel with programming and problem solving methodologies. Students learn how to recognize a good or bad formulation of a problem, select the proper algorithm to solve a given computational problem and interpret the results; thus, learning to become intelligent users, rather than creators, of computational software. Computational developments that have the greatest influence on the development and practice of science and engineering in the last century. Course draws upon a variety of computational problems from the breadth of science and engineering to interest students and establishes the relevance of the computational problem solving approach.
