Faculty member proposing: Adrian Sandu

Email address: asandu@mtu.edu

Course syllabus:

	Knowledge  NUMERICAL METHODS  Mastery     Solve liniar systems by direct methods    Solve nonlinear systems    Interpolation    Function approximation    Numerical integration and differentiation    Fast Fourier Transform Familiarity     Eigenvalue calculation, Singular value decomposition, Solution of liniar systems by iterative methods    Unconstrained optimization    Numerical solution of ODE    Numerical solution of PDE by finite difference methods Exposure     Constrained optimization    Finite element methods		Skills  NUMERICAL METHODS   Mastery     Read and understand numerical methods literature    Select suitable numerical algorithms for the problem at hand    Modify existing algorithms to make them suitable for the problem at hand Familiarity     Create new problem-specific algorithms    Debug numerical algorithms (understand error sources and their propagation, and fix excessive errors)
	Knowledge  SOFTWARE  Mastery     Knowledge of some off-the-shelf numerical software packages; Asses their usefulness for a specific application		Skills  SOFTWARE   Mastery     Develop new numerical software    Understand and maintain existing numerical software