Introduction: Sets, functions, graphs and proofs, Linear Algebra: matrices, vectors, determinants, system of linear equations, eigenvalue and eigenvectors; Differentiation: partial and total derivatives, concave and convex functions, maxima and minima of functions of one and several variables, Classical optimization: Lagrange and Kuhn-Tucker methods, Integral calculus: methods, solution for ordinary differential equation.
