• Que l'estudiant adquireixi una panoràmica dels models de la Programació Matemàtica i de les seves aplicacions.
• Que l'estudiant conegui la metodologia de construcció dels models de la Programació Matemàtica i llur paper en els
• processos de presa de decisions quantitatives.
• Que l'estudiant conegui les àrees bàsiques de la Programació Matemàtica, com ara la programació lineal i entera, els problemes de fluxos en xarxes, i la programació no lineal.
• Que l'estudiant conegui els fonaments teòrics de les classes de models considerades.
• Que l'estudiant conegui els principals procediments algorísmics per a resolució de les classes de models considerades.
• Que l'estudiant pugui aplicar de forma pràctica dels algorismes estudiats mitjançant el software de Programació Matemàtica disponible a la Facultat.

• Identifying when a problem is suitable to be modeled and solved as a stochastic optimization problem.
• Formulation of stochastic optimization problems, determining decisions in the first, second and next stages.
• Knowledge of the basic properties of stochastic optimization problems.
• Knowledge of specialized solution methods for stochastic problems.
• Knowledge and use of software for the solution of stochastic problems.

The overall objective of the course is for students to acquire the knowledge and the ability necessary for solving practical
decision-making problems, formulated as problems of mathematical programming, which may arise during a professional
or research career.

• Learn the mathematical formulation of some of the main mathematical programming models and develop the ability to formulate new ones.
• Acquire the ability to determine the most appropriate algorithm and the optimization software for solving these problems numerically.
• The ability to interpret correctly the results provided by the optimization software.

Skills to be learned

• Learn and understand some of the most important problems in linear, integer and nonlinear programming as well as network flows.
• Given the description of a new decision-making problem, be able to formulate the associated optimization problem correctly.
• The ability to implement and obtained the optimum solution for decision-making problems by selecting the most appropriate algorithm and optimization software in each particular case.

The overall objective of the course is for students to acquire the knowledge and the ability necessary for solving practical
decision-making problems, formulated as problems of mathematical programming, which may arise during a professional
or research career.

• Learn the mathematical formulation of some of the main mathematical programming models and develop the ability to formulate new ones.
• Acquire the ability to determine the most appropriate algorithm and the optimization software for solving these problems numerically.
• The ability to interpret correctly the results provided by the optimization software.

Skills to be learned

• Learn and understand some of the most important problems in linear, integer and nonlinear programming as well as network flows.
• Given the description of a new decision-making problem, be able to formulate the associated optimization problem correctly.
• The ability to implement and obtained the optimum solution for decision-making problems by selecting the most appropriate algorithm and optimization software in each particular case.