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MATH212 - Numerical Analysis/Lecture, Laboratory

Introduces concepts and techniques of scientific computing to students in mathematics, computer science and the sciences. Teaches how to set up reasonable computational algorithms and use the algorithms to work on actual projects. Topics include approximation theory, error analysis, numerical differentiation and integration, and solution of ordinary differential equations and linear systems. Prerequisites: MATH130 and MATH172. Mr. Chou, Ms. Sternberg/Offered every other year


Faculty

Natalia Sternberg, Ph.D. - Professor of Mathematics and Computer Science

 

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