052113 VU Software Tools for Computational and Data Science (2024S)

We discuss software tools for computational and data science in the field of Linear Algebra, Ordinary Differential Equations, Sparse Linear Solvers, Optimization and Neural Networks including their foundational numerical algorithms. The students get familiar with using important computational software like BLAS and LAPACK, MPFR, and PETSc. Computational results are evaluated to ensure good performance. Hands-on experience is strengthened by in-depth discussions.

The students are expected to have good general programming skills, basic familiarity with programming in C and Python (other languages upon request), and experience in using GNU/Linux and Bash. The course builds upon the contents of the modules "Introduction to Numerical Computing" (NUM) and "Combinatorial and Numerical Algorithms" (CNA).