Advanced Optimisation Models in Engineering (533), 2012/13

Advanced Optimisation Models in Engineering

Advanced Optimisation Models in Engineering
UMH subject: 533

 


ciencias-sociales

AUTHORS: Natividad Llorca Pascual. Joaquín Sánchez Soriano. Juan Francisco Monge Ivars


Natividad Llorca Pascual
Joaquín Sánchez Soriano
Juan Francisco Monge Ivars


Dept. Statistics, Mathematics and Computer Science

Area Statistics and Operation Research

This subject has been teached in 
Master's degree in Research in Industrial Technologies and Telecommunication, 
year 2012-2013


Course Description

Study of the most common advanced optimisation models in engineering problems, both Industrial and Telecommunication. 


Description

All the materials here included are used by students during the year 2012/13 in the subject 533  called Advanced Optimisation Models in Engineering.



Subject NameNumberCTCPCTOT
ADVANCED OPTIMISATION MODELS IN ENGINEERING533303
TypeElectiveSemesterFirstCourse1
DescriptionStudy of the most common advanced optimisation models in engineering problems, both Industrial and Telecommunication. 
DepartmentSTATISTICS, MATHEMATICS AND COMPUTER SCIENCE
AreaSTATISTICS AND OPERATIONS RESEARCH
DegreeMASTER'S DEGREE IN RESEARCH IN INDUSTRIAL TECHNOLOGIES AND TELECOMMUNICATION
InstituteESCUELA POLITÉCNICA SUPERIOR DE ELCHE



Learning objectives

The global subject objectives in this subject are the following: 


  • Acquire skills for the mathematical modeling of systems and engineering problems.
  • Know the main techniques of optimization problems and mathematically modeled systems.
  • Improve the ability of quantitative analysis of problems and systems engineering.

Teaching method

  • Exercise and problem resolution:  Exercising, rehearsing and to put in practice prior knowledge through routine repetition.
  • Presentation/Master class:  To pass on knowledge and to activate cognitive processes in the students, involving their participation.

Evaluation system


The procedure for evaluation is the following: 

 

  • To pass the course students must attend at least 80 % of classes and deliver the exercises and assignments given by teachers. The final evaluation will depend on the number of exercises and submitted work and the quality of the same.

Instructor(s)


 Nombre  E-mail
 NATIVIDAD LLORCA PASCUAL  nllorca@umh.es
 JOAQUIN SANCHEZ SORIANO  joaquin@umh.es
 JUAN FRANCISCO MONGE IVARS  monge@umh.es


Learning materials


Download: cooperative-games.ppt


Course Download

Download: optmisation-models-533.rar


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