Introduces the fundamentals of linear algebra in the context of computer science applications. Includes vector spaces, matrices, linear systems, and eigenvalues.

A Ph.D. (awarded or near completion) in applied mathematics, computer science, or a closely related field. Strong background in numerical linear algebra, algorithm design, and parallel computing.

We invite applications for a postdoctoral research position in the fields of linear algebra and high-performance computing (HPC).

COMP_SCI 496: Randomized Algorithms in Linear Algebra and Scientific Computing VIEW ALL COURSE TIMES AND SESSIONS Description *Please note this will be a 0 credit 3-week course during the weeks of May ...

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