Un Recorrido de Estudio e Investigación para el aprendizaje del concepto devariable aleatoria discreta mediante métodos de Monte Carlo
[EN] The concept of random variable is a mathematical construct that presents some theoretical complexity. However,learning this concept can be facilitated if it is presented as the end of a sequential process of modeling of a realevent. More speci cally, to learn the concept of discrete random vari...
| Autores: | , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2017 |
| País: | España |
| Institución: | Universitat Politècnica de València (UPV) |
| Repositorio: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia |
| Idioma: | español |
| OAI Identifier: | oai:riunet.upv.es:10251/90052 |
| Acceso en línea: | https://riunet.upv.es/handle/10251/90052 |
| Access Level: | acceso abierto |
| Palabra clave: | Variable aleatoria discreta Modelización Simulación Métodos de Monte Carlo Microsoft Excel Matlab Discrete random variable Modeling Simulation Monte Carlo methods |
| Sumario: | [EN] The concept of random variable is a mathematical construct that presents some theoretical complexity. However,learning this concept can be facilitated if it is presented as the end of a sequential process of modeling of a realevent. More speci cally, to learn the concept of discrete random variable, the Monte Carlo simulation can providean extremely useful tool because in the process of modeling / simulation one can approach the theoretical conceptof random variable, while the random variable is observed \in action". This paper presents a Research and StudyCourse (RSC) based on series of activities related to random variables such as training and introduction of si-mulation elements, then the construction of the model is presented, which is the substantial part of the activity,generating a random variable and its probability function. Starting from a simple situation related to reproductionand survival of the litter of a rodent, with random components, step by step, the model that represents the realraised situation is built obtaining an \original" random variable. In the intermediate stages of the construction ofthe model have a fundamental role the uniform discrete and binomial distributions. The trajectory of these stagesallows reinforcing the concept of random variable while exploring the possibilities o ered by Monte Carlo methodsto simulate real cases and the simplicity of implementing these methods by means of the Matlabcprogramminglanguage. |
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