No requirements.

The student must acquire the following skills: - Understand the role of simulation as a tool to analyze communication systems. - Understand the concept of "model" to represent the objective to be analyzed in a complex communication system. - Understand the relationship between simulation and optimization as synergistic tools in the analysis and design of communication systems. At the end of the training process, students will be able to: - Use computer, mathematical and numerical tools necessary to design, analyze and / or optimize elements of a communication system.

Topic 1: Introduction       - Current communication systems: complexity and levels.       - Models as perspectives and objectives in the analysis and design of communication systems       - Examples. Topic 2: Optimization Tools and Game Theory with applications to communication systems      - Introduction to optimization: basic concepts, problem formulation and basic concepts.      - Deal with the real world: continuous variable optimization.      - Making it more difficult: full programming.       - Falcon or pigeon? Game theory is the answer. Topic 3: Stochastic models and simulation:     - Statistics and Information Theory: alphabets, probabilities and random variables.     - Statistical, time and mixed models: scales.     - Markov: chains, hidden models and examples. Graphic models in general.     - Simulation for Inference; Simple MonteCarlo, Markov-MonteCarlo. Simulation projects: individual and supervised.

Theoretical lessons and problems The lessons are composed of theory and practical examples with the aim of providing a better understanding. Lab practices Simulation of the practical cases described during the theoretical lessons. Practica case. A practical case in the framework of the cellular communications is proposed for simulation and analysis.