Vector Analysis:  derivatives, gradient, divergence and curl; integration and Green, Gauss and Stokes theorems; curvilinear coordinates.

Linear Algebra: basic concepts; vectors and matrices in n-dimensions; trace, determinant, eigenvalues and eigenvectors; solutions of a linear set of algebraic and differential equations.
And if there is time: Introduction to Tensor Analysis: What is a tensor? Simple operations and physical applications.