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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Dive into Linear Algebra: Foundations to Frontiers, an edX course that offers a deep understanding of linear algebra principles and their application in matrix software development. This challenging yet rewarding program is ideal for mathematicians, engineers, scientists, and data professionals looking to enhance their analytical capabilities.
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Discover how to systematically develop correct, loop-based programs with 'LAFF – On Programming for Correctness' on edX. Learn essential skills in formal methods to ensure your programs are reliable and produce the right output every time. Perfect for programmers seeking to enhance their ability to create error-free software.
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Dive into Advanced Linear Algebra: Foundations to Frontiers (ALAFF) and elevate your understanding of linear algebra's role in computing and data science. This course will equip you with advanced knowledge, practical skills in algorithm implementation, and insights into the nuances of floating-point arithmetic.