Electrical & Computer Engin 679 - NumericalAlgorithms&Practices

This course covers various topics Scientific Computing including: basic numerical techniques of linear algebra and their applications, data formats and practices, matrix computations with an emphasis on solving sparse linear systems of equations and eigenvalue problems. Students will learn about the state-of-the-art programming practices in numerical linear algebra, and will be introduced to numerical parallel algorithms and parallel programming with OpenMP, MPI and hybrid. For students to be successful in this course they should know Linear Algebra basics, and have interests in math and programing.

Open to Graduate students only.