3.016 Computational Methods for Materials Scientists and Engineers
Computational and analytical techniques necessary for materials science and engineering topics, such as material structure, symmetry, and thermodynamics, materials response to applied fields, mechanics and physics of solids and soft materials. Presents mathematical concepts and materials-related problem solving skills alongside symbolic programming techniques. Symbolic algebraic computational methods, programming, and visualization techniques; topics include linear algebra, quadratic forms, tensor operations, symmetry operations, calculus of several variables, eigensystems, systems of ordinary and partial differential equations, beam theory, resonance phenomena, special functions, numerical solutions, statistical analysis, Fourier analysis, and random walks.
This class has no prerequisites.
This class counts for a total of 12 credits.
You can find more information at the MIT + 3.016 - Google Search site.
© Copyright 2015 Yasyf Mohamedali