Educational guide
IDENTIFYING DATA 2011_12
Subject SIMULACION NUMERICA EN INGENIERIA Code 00805024
Study programme
ITM-RECURSOS ENERG., COMBUST. Y EXPLOSIVOS
Descriptors Credit. Type Year Period
4.5 Optional Second First
Language
Castellano
Prerequisites
Department MATEMATICAS
Coordinador
SÁEZ SCHWEDT , ANDRÉS
E-mail asaes@unileon.es
mpvicm@unileon.es
Lecturers
SÁEZ SCHWEDT , ANDRÉS
VICENTE MATILLA , MARÍA DEL PILAR
Web http://
General description The main objective of the subject "Numerical Simulation in Engineering" is to be able to model and solve mathematical and engineering problems which require numerical simulation techniques, either because the exact solution is not known or very expensive to obtain, or because random processes are involved.
Tribunales de Revisión
Tribunal titular
Cargo Departamento Profesor
Tribunal suplente
Cargo Departamento Profesor

Objetivos
The main objective of the subject "Numerical Simulation in Engineering" is to be able to model and solve mathematical and engineering problems which require numerical simulation techniques, either because the exact solution is not known or very expensive to obtain, or because random processes are involved.

Methodologies

Warning: this subject belongs to an old curriculum (study plan), and is not taught anymore.

When the subject was taught, the methodologies were the following:

- master lessons (usual lectures)
- practical lessons in computer lab, with the professor's assistance.
- practical exercises and team work outside of the classroom.
- use of computer software to perform calculations, simulations and checking of results.

Contents
Topic Sub-topic
1. Introduction to numerical simulation with a computer 1.1 Introduction to Scilab and other simulation software.
1.2 Basic concepts of Simulation. Systems and models.
2. Random numbers and random variables 2.1. Pseudo-random sequences and methods of generation.
2.2. Generation of main discrete and continuos random variables.
3. Event simulation 3.1 Discrete event simulation
3.2 Continuous event simulation
3.3 Introduction to simulation languages
4. Simulation and optimization 4.1 Local and global optimization: random search
4.2 Modern methods of global optimization: simulated annealing and genetic algorithms.

Personalized attention

Assessment
  Description Qualification
Others Unique exam with computer software total 100%
 
Other comments and second call
<p>The subject belongs to an old learning plan (syllabus) and is not taught anymore. The only assessment procedure is a unique written examination with the use of computer software.</p>

Basic Cross R., Simulación, Limusa, 2000
Ross, S.M., Simulación, Prentice-Hall, 1999
Creus Solé, A., Simulación y control de procesos por ordenador, Marcombo, 2007
Cross R., Simulación, un enfoque práctico, Limusa, 2000
Ríos Insua D. y otros, Simulación. Métodos y aplicaciones, Rama, 1997
Law, A. y Kelton, D., Simulation modeling and analysis, McGraw-Hill, 2000
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