Teaching

Applied linear algebra: matrices, vector spaces, eigenvalues, orthogonality and least squares.

Undergraduate numerical analysis: floating-point error, nonlinear equations, linear systems, interpolation, numerical calculus, and ODEs, with hands-on MATLAB computing.