Robert van de Geijn

With a Ph.D. in applied mathematics, Robert van de Geijn is a professor of Computer Science and a member of the Institute for Computational Engineering and Sciences and the Division of Statistics and Scientific Computation at the University of Texas at Austin. Prof. van de Geijn is a leading expert in the areas of high-performance computing, linear algebra libraries, parallel processing, and formal derivation of algorithms. He is the recipient of the 2007-2008 President’s Associates Teaching Excellence Award from The University of Texas at Austin.
More info: http://www.cs.utexas.edu/~rvdg/

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Advanced Linear Algebra: Foundations to Frontiers (edX)

Learn advanced linear algebra for computing. Linear algebra is one of the fundamental tools for computational and data scientists. In Advanced Linear Algebra: Foundations to Frontiers (ALAFF), you will build your knowledge, understanding, and skills in linear algebra, practical algorithms for matrix computations, and the analysis of the effects [...]

LAFF – On Programming for Correctness (edX)

Learn to apply formal methods to systematically develop correct, loop-based programs, an essential skill for computer programmers. Is my program correct? Will it give the right output for all possible permitted inputs? Computers are now essential in everyday life. Incorrect programs lead to frustration in the [...]

Linear Algebra - Foundations to Frontiers (edX)

Learn the mathematics behind linear algebra and link it to matrix software development. Linear Algebra: Foundations to Frontiers (LAFF) is packed full of challenging, rewarding material that is essential for mathematicians, engineers, scientists, and anyone working with large datasets.