Course Summary
Quantitative Methods is designed to tackle two related challenges. First, it aims to equip students with a solid and up-to-date foundation in mathematics for economists and introduce them to modern econometrics with applications in petroleum, energy economics and law. Specific topics to be taught include: Matrix Algebra; Systems of Linear Equations and Matrix Algebra; Solving Systems of Linear
Equations with Economic Applications, including Input- Output Model; Quadratic Forms; Applications in Calculus; Economic Applications of Univariate Calculus; Economic Applications of Multivariate Analysis; Economic Applications of Integral Calculus; Static Optimization; Unconstrained Optimization; Economic Applications of Univariate Optimization; Extreme Values of Multivariate Functions; Constrained Optimization; Dynamic Analysis and Optimization; Dynamic Analysis, Economic Applications c>f Difference Equations; Economic Applications of Differential Equations; Dynamic Optimization (Dynamic Optimization in Discrete Time; Optimal Control Theory).