Mathematical methods

This course aims to introduce students to optimization methods in a static context. The instruments,
explained during the course, are crucial to describe the efficient behaviour of economic agents.
Both unconstrained and constrained optimization methods will be presented during the course.
At the end of the course students should be able to represent the behaviour of agents
through the formalization of a constrained optimization problem and solve it using the mathematical
results and the graphical approaches discussed during classes.

At the end of the course, the student will know the basic elements of the optimization theory in a static framework; will be able to formulate appropriate optimization problems; will possess an adequate mathematical terminology; will learn the main theoretical results and practical methods related to the optimization problems that can describe the behaviour of an economic agent.