Transferencia de momentum, calor y masa computacional from Coursera

En este MOOC el estudiante desarrollará competencias de computación científica y métodos numéricos para resolver problemas de transferencia de momentum, calor y masa. En concreto, el estudiante creará y utilizará códigos Python para encontrar la solución numérica a ecuaciones diferenciales ordinarias y ecuaciones diferenciales parciales.

En fenómenos de transporte, estas ecuaciones provienen de problemas a los valores iniciales (PVI), problemas a los valores de contorno (PVC) y problemas a los valores iniciales y de contorno (PVIC). Las competencias a desarrollar en este curso son necesarias para modelar y simular realistamente intercambiadores de calor, estanques de almacenamiento, equipos de separación, motores, celdas de combustible, dispersión de contaminantes y transmisión de enfermedades infecciosas.

Con las competencias desarrolladas en el curso, el estudiante será capaz de diseñar y optimizar sistemas ingenieriles para maximizar su seguridad, efectividad y eficiencia.

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Bienvenida al curso

¡Bienvenidos y bienvenidas! Muchos fenómenos cotidianos e industriales están gobernados por ecuaciones de conservación de calor, masa y momentum. Estas ecuaciones son modelos matemáticos que se derivan de balances microscópicos y macroscópicos. En la mayoría de las aplicaciones importantes de interés ingenieril, estos modelos no tienen una solución analítica. En este curso, aprenderán a resolver computacionalmente las ecuaciones diferenciales resultantes de los balances de calor, masa y momentum utilizando métodos numéricos. Esto permitirá analizar el diseño y la operación de equipos y sistemas de interés ingenieril y científico.

Módulo 1: Introducción a métodos numéricos para fenómenos de transporte

En este módulo, se conocerán las ecuaciones fundamentales de fenómenos de transporte, aplicaciones de interés ingenieril y conceptos de programación para emplearlos en este tipo de problemas.

Módulo 2: Balances macroscópicos y problemas a los valores iniciales

En este módulo tratará los balances macroscópicos y sus aplicaciones. También se hablará sobre los problemas a los valores iniciales los cuales nos dan las condiciones necesarias para poder resolver este tipo de balances.

Módulo 3: Balances microscópicos en estado estacionario

En este módulo, se conocerán distintos tipos de resoluciones de problemas a los valores de contorno, tales como el método de diferencias finitas y método de punto fijo.

Módulo 4: Balances microscópicos en estado no estacionario

En este módulo, se conocerán métodos de resolución a los problemas a los valores iniciales y a los problemas a los valores de contorno, las cuales originan ecuaciones diferenciales parciales.

Módulo 5: Balances microscópicos multidimensionales

En este módulo se conocerá el método de sobre relajación sucesiva, el cuál nos permite resolver balances microscópicos multidimensionales.

Cierre del curso

Les queremos agradecer el habernos acompañado en el curso. Esperamos que los contenidos abordados sean un real aporte en tu carrera profesional /laboral.

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Estudiantes de ciencias, tecnología, ingeniería o matemáticas que tienen conocimientos básicos en matemáticas y ciencias de la computación

Profesionales que requieren un sólido conocimiento de fenómenos de transporte

Ingenieros que buscan profundizar sus habilidades en modelado y simulación

Instructores por Felipe Huerta Pérez, experto en fenómenos de transporte

Requiere conocimientos previos en matemáticas y ciencias de la computación

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Learners who complete Transferencia de momentum, calor y masa computacional will develop knowledge and skills that may be useful to these careers:

Computational Scientist

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Mechanical Engineer

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Chemical Engineer

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Materials Scientist

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Nuclear Engineer

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Computer Engineer

Computer Engineers design, build, and maintain computer systems. This course can help prepare you for a career as a Computer Engineer by providing you with a strong foundation in computational methods for solving problems in computer architecture, operating systems, and networking.

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Environmental Engineer

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Petroleum Engineer

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Biomedical Engineer

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Civil Engineer

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Electrical Engineer

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Data Scientist

Data Scientists use scientific methods, processes, algorithms and systems to extract knowledge and insights from data. This course may be useful for aspiring Data Scientists, as it provides a strong foundation in computational methods for solving problems in science and engineering.

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Operations Research Analyst

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Financial Analyst

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