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Disciplina asociada:Tecnologías Computacionales |
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Escuela:
Ingeniería y Ciencias
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Departamento Académico:
Computación
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Programas académicos: |
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Competencias que se desarrollan: |
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Requisitos:Haber Cursado TC2008B y (Estar Cursando WKTC3002S o Haber Cursado WKTC3002S) |
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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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Objetivo general de la Unidad de Formación: |
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Al terminar la unidad de formación el alumno: - Implementa algoritmos computacionales que solucionan problemas. - Optimiza algoritmos computacionales que se aplican en el desarrollo de soluciones. - Genera modelos computacionales para la solución de problemas. - Implementa modelos computacionales en la solución numérica de un problema. |
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Técnica didáctica sugerida: |
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| No especificado | |||||
Bibliografía sugerida: |
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LIBROS DE TEXTO: * Jerry Banks ... [et al.], Discrete-event system simulation, 3rd ed., New Jersey, USA : Prentice Hall, 2004, 0130887021 * Chollet, F. , Deep Learning with Python, Shelter Island, NY : Manning Publications Company, 2018, * Géron, A , Hands-On Machine Learning with Scikit-Learn and TensorFlow Concepts, Tools, and Techniques to Build Intelligent Systems, O'Reilly Media, 2017, * Alfred V. Aho , Monica S. Lam, Ravi Sethi, Jeffrey D. Ullman , Compilers: Principles, Techniques, and Tools,, Addison-Wesley , 2014, |
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Perfil del Profesor: |
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(110701)Maestría en Ciencias Computacionales ; (110101)Maestría en Ciencias Computacionales/de Información ; (110102)Maestría en Inteligencia Artificial /Robótica ; (110103)Maestría en Tecnología de la Información/Informática/Sistemas Computacionales ; (110201)Maestría en Programación/Programador Computacional ; (140901)Maestría en Ingeniería Computacional ; (270301)Maestría en Matemáticas Aplicadas ; (270303)Maestría en Matemáticas Computacionales ; (110701)Doctorado en Ciencias Computacionales ; (110101)Doctorado en Ciencias Computacionales/de Información ; (110102)Doctorado en Inteligencia Artificial /Robótica ; (110103)Doctorado en Tecnología de la Información/Informática/Sistemas Computacionales ; (110201)Doctorado en Programación/Programador Computacional ; (140901)Doctorado en Ingeniería Computacional ; (270301)Doctorado en Matemáticas Aplicadas ; (270303)Doctorado en Matemáticas Computacionales CIP: 110701, 110101, 110102, 110103, 110201, 140901, 270301, 270303 |
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Discipline:Computer Technologies |
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School:
Engineering and Sciences
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Academic Department:
Computing
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Programs: |
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Competitions:STC0102C ; STC0104C ; SICT0301C ; STC0101C ; STC0103C ; SEG0702C ; |
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Prerequisites:TC2008B and (WKTC3002S Corequisite or WKTC3002S ) |
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Equivalences:None. |
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Course intention within the general study plan context: |
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Course objective: |
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At the end of the training unit, the student: - Implements computational algorithms that solve problems. - Optimizes computational algorithms that are applied in the development of solutions. - Generates computational models for solving problems. - Implements computational models in the numerical solution of a issue. |
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Teaching and learning tecniques: |
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| Not Specified | |||||
Suggested Bibliography: |
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TEXT BOOKS: * Jerry Banks ... [et al.], Discrete-event system simulation, 3rd ed., New Jersey, USA : Prentice Hall, 2004, 0130887021 * Chollet, F. , Deep Learning with Python, Shelter Island, NY : Manning Publications Company, 2018, * Géron, A , Hands-On Machine Learning with Scikit-Learn and TensorFlow Concepts, Tools, and Techniques to Build Intelligent Systems, O'Reilly Media, 2017, * Alfred V. Aho , Monica S. Lam, Ravi Sethi, Jeffrey D. Ullman , Compilers: Principles, Techniques, and Tools,, Addison-Wesley , 2014, |
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Academic credentials required to teach the course: |
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(110701)Master Degree in Computational Sciences ; (110101)Master Degree in Computer/Information Sciences ; (110102)Master Degree in Artificial Intelligence/Robotics ; (110103)Master Degree in Information Technology. ; (110201)Master Degree in Computer Programming/Programmer ; (140901)Master Degree in Computational Engineering ; (270301)Master Degree in Applied Mathematics ; (270303)Master Degree in Computational Mathematics ; (110701)Doctoral Degree in Computational Sciences ; (110101)Doctoral Degree in Computer/Information Sciences ; (110102)Doctoral Degree in Artificial Intelligence/Robotics ; (110103)Doctoral Degree in Information Technology. ; (110201)Doctoral Degree in Computer Programming/Programmer ; (140901)Doctoral Degree in Computational Engineering ; (270301)Doctoral Degree in Applied Mathematics ; (270303)Doctoral Degree in Computational Mathematics CIP: 110701, 110101, 110102, 110103, 110201, 140901, 270301, 270303 |
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