Review of linear algebra, including applications to networks, structures, and estimation. Also covers differential equations of equilibrium; Laplace’s equation and potential flow; initial value and boundary-value problems; minimum principles and calculus of variations; numerical methods; and optimization

This course covers fundamentals of algorithm development, high-level language, programming applications, and coding solutions to computing problems.