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Disciplina asociada:Mecatrónica |
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Escuela:
Ingeniería y Ciencias
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Departamento Académico:
Mecatrónica
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Programas académicos: |
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Competencias que se desarrollan: |
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Requisitos:Haber Cursado MR3001C o Estar Cursando MR3001C |
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Equivalencia:No tiene. |
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Intención del curso en el contexto general del plan de estudios: |
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Es un curso de nivel avanzado en el área de ingeniería, que tiene la intención de que el estudiante resuelva un reto en el área de sistemas cyber-físicos. Requiere conocimientos previos de sistemas de control, sistemas digitales y programación. Como resultado del aprendizaje el alumno integrará los conceptos de administración de proyectos como herramienta para gestionar un reto de internet industrial de las cosas utilizando conceptos de manufactura inteligente, cómputo en la nube y computación cognitiva aplicados en el ámbito de sistemas ciber-físicos de acuerdo con criterios previamente definidos. |
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Objetivo general de la Unidad de Formación: |
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Al concluir la unidad de formación, el alumno es capaz de: - Aplicar tecnologías de manufactura automatizada, para generar soluciones que generen valor a la organización con apego a las regulaciones vigentes - Analizar escenarios de infraestructura computacional desde una perspectiva interdisciplinar orientada a la ciberseguridad, y evaluar la solidez de las soluciones propuestas. - Implementar sistemas con inteligencia artificial que permitan dar soluciones de vanguardia en base a la normativa vigente. |
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Técnica didáctica sugerida: |
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| Aprendizaje orientado a proyectos | |||||
Bibliografía sugerida: |
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LIBROS DE TEXTO: * Martínez Aguiló Jaume, Industria 40 : la transformación digital en la industria, Barcelona : Editorial UOC, 2019, spa, 9788491804925 * Géron, Aurélien, Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow : concepts, tools and techniques to build intelligent systems, Second edition., Sebastopol, CA : O'Reilly Media, Inc., 2019, eng, 1492032646 * Elgendy, Mohamed, Deep learning for vision systems, eng, 9781617296192 LIBROS DE CONSULTA: * Joyanes Aguilar, Luis, Industria 40 : la cuarta revolución industrial, Primera edición., Ciudad de México : AlfaOmega, ©2018, spa, 9786076229422 * Dudek, Gregory, Computational principles of mobile robotics, 2nd ed., New York : Cambridge University Press, 2010, 0521692121 (pbk.) * Bruno Siciliano Oussama Khatib (eds), Springer handbook of robotics, 2nd edition., Berlin : Springer, ©2016, spa, 3319325507 * edited by David Ian Wimpenny, Pulak M. Pandey L. Jyothish Kumar, Advances in 3D Printing & Additive Manufacturing Technologies, 1st ed. 2017., eng, 9789811008122 * Chua Chee Kai, Standards, quality control and measurement sciences in 3D printing and additive manufacturing, San Diego, CA : Academic Press, an imprint of Elsevier, 2017, eng, 0128134895 * edited by David Saad, On-line learning in neural networks, New York : Cambridge University Press, 1998, 0521652634 |
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Perfil del Profesor: |
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(141001)Maestría en Ingeniería Eléctrica/Electrónica y Comunicaciones ; (141901)Maestría en Ingeniería Mecánica ; (143601)Maestría en Ingeniería de Manufactura ; (141201)Maestría en Ingeniería Física ; (142701)Maestría en Ingeniería de Sistemas ; (143501)Maestría en Ingeniería Industrial ; (110101)Maestría en Ciencias Computacionales/de Información ; (110102)Maestría en Inteligencia Artificial /Robótica ; (141001)Doctorado en Ingeniería Eléctrica/Electrónica y Comunicaciones ; (141901)Doctorado en Ingeniería Mecánica ; (143601)Doctorado en Ingeniería de Manufactura ; (141201)Doctorado en Ingeniería Física ; (142701)Doctorado en Ingeniería de Sistemas ; (143501)Doctorado en Ingeniería Industrial ; (110101)Doctorado en Ciencias Computacionales/de Información ; (110102)Doctorado en Inteligencia Artificial /Robótica CIP: 141001, 141901, 143601, 141201, 142701, 143501, 110101, 110102 |
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Discipline:Mechatronics |
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School:
Engineering and Sciences
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Academic Department:
Mechatronics
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Programs: |
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Competitions:SMR0304C ; STE0104C ; SICT0303C ; SEG0702B ; |
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Prerequisites:MR3001C or MR3001C Corequisite |
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Equivalences:None. |
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Course intention within the general study plan context: |
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In this advanced level engineering course, the student is intended to solve a challenge in the area of cyber-physical systems by applying the competencies developed in the focus stage in their study plan. Requires prior knowledge of control systems, digital systems and programming. As a result of the learning, the student will integrate the concepts of project management as a tool to manage a challenge of the industrial internet of things using concepts of intelligent manufacturing, cloud computing and cognitive computing applied in the field of cyber-physical systems. according to previously defined criteria. |
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Course objective: |
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Upon completition of this educational unit, the student is able to: - Apply automated manufacturing technologies, to generate solutions that generate value to the organization in compliance with current regulations. - Analyze computational infrastructure scenarios from an interdisciplinary perspective oriented to cybersecurity, and evaluate the soundness of the proposed solutions. - Implement systems with artificial intelligence that allow giving cutting-edge solutions based on current regulations. |
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Teaching and learning tecniques: |
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| Learning-oriented projects | |||||
Suggested Bibliography: |
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TEXT BOOKS: * Martínez Aguiló Jaume, Industria 40 : la transformación digital en la industria, Barcelona : Editorial UOC, 2019, spa, 9788491804925 * Géron, Aurélien, Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow : concepts, tools and techniques to build intelligent systems, Second edition., Sebastopol, CA : O'Reilly Media, Inc., 2019, eng, 1492032646 * Elgendy, Mohamed, Deep learning for vision systems, eng, 9781617296192 BOOKS FOR CONSULTATION: * Joyanes Aguilar, Luis, Industria 40 : la cuarta revolución industrial, Primera edición., Ciudad de México : AlfaOmega, ©2018, spa, 9786076229422 * Dudek, Gregory, Computational principles of mobile robotics, 2nd ed., New York : Cambridge University Press, 2010, 0521692121 (pbk.) * Bruno Siciliano Oussama Khatib (eds), Springer handbook of robotics, 2nd edition., Berlin : Springer, ©2016, spa, 3319325507 * edited by David Ian Wimpenny, Pulak M. Pandey L. Jyothish Kumar, Advances in 3D Printing & Additive Manufacturing Technologies, 1st ed. 2017., eng, 9789811008122 * Chua Chee Kai, Standards, quality control and measurement sciences in 3D printing and additive manufacturing, San Diego, CA : Academic Press, an imprint of Elsevier, 2017, eng, 0128134895 * edited by David Saad, On-line learning in neural networks, New York : Cambridge University Press, 1998, 0521652634 |
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Academic credentials required to teach the course: |
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(141001)Master Degree in Electrical Engineering/ Electronics and Communications ; (141901)Master Degree in Mechanical Engineering ; (143601)Master Degree in Manufacturing Engineering ; (141201)Master Degree in Physical Engineering ; (142701)Master Degree in Systems Engineering ; (143501)Master Degree in Industrial Engineering ; (110101)Master Degree in Computer/Information Sciences ; (110102)Master Degree in Artificial Intelligence/Robotics ; (141001)Doctoral Degree in Electrical Engineering/ Electronics and Communications ; (141901)Doctoral Degree in Mechanical Engineering ; (143601)Doctoral Degree in Manufacturing Engineering ; (141201)Doctoral Degree in Physical Engineering ; (142701)Doctoral Degree in Systems Engineering ; (143501)Doctoral Degree in Industrial Engineering ; (110101)Doctoral Degree in Computer/Information Sciences ; (110102)Doctoral Degree in Artificial Intelligence/Robotics CIP: 141001, 141901, 143601, 141201, 142701, 143501, 110101, 110102 |
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