{"id":300,"date":"2017-09-10T22:06:31","date_gmt":"2017-09-10T22:06:31","guid":{"rendered":"https:\/\/ryma.cinvestav.mx\/ngarcia\/?page_id=300"},"modified":"2026-02-19T01:25:08","modified_gmt":"2026-02-19T01:25:08","slug":"clases","status":"publish","type":"page","link":"https:\/\/ryma.cinvestav.mx\/ngarcia\/clases\/","title":{"rendered":"CURSOS"},"content":{"rendered":"

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\n\t\t\t\t\t

Interfaces H\u00e1pticas: <\/b>Curso <\/b>te\u00f3rico y <\/b>experimental<\/b><\/em><\/h1><\/div><\/div>\n

Duraci\u00f3n: <\/strong>40 horas<\/h3>\n

Requisitos: <\/strong>Programaci\u00f3n b\u00e1sica en C++<\/h3>\n

Resumen del Curso<\/strong><\/h3>\n
\n
Este curso ofrece una visi\u00f3n integral de la tecnolog\u00eda h\u00e1ptica<\/b>, centrada en la recreaci\u00f3n del sentido del tacto mediante fuerzas, vibraciones y movimientos. El objetivo es que el estudiante domine los conceptos fundamentales a trav\u00e9s de un enfoque mixto que combina teor\u00eda, pr\u00e1cticas de laboratorio, an\u00e1lisis de literatura cl\u00e1sica y contempor\u00e1nea, y el desarrollo de un proyecto de investigaci\u00f3n final.\u00a0<\/h6>\n
En las sesiones de laboratorio, los alumnos aprender\u00e1n a programar comportamientos de retroalimentaci\u00f3n (haptic feedback<\/i>) utilizando interfaces especializadas. Asimismo, las lecturas cr\u00edticas fomentar\u00e1n el pensamiento anal\u00edtico sobre el estado del arte en la disciplina, permitiendo a los estudiantes cuestionar trabajos previos y formular hip\u00f3tesis propias que dar\u00e1n sustento a su proyecto final.<\/h6>\n<\/blockquote>\n

Contenido del curso<\/strong><\/h3>\n

1. Introducci\u00f3n a las Interfaces H\u00e1pticas<\/p>\n

2. Fundamentos de la Interacci\u00f3n H\u00e1ptica: Exploraci\u00f3n Motriz y Percepci\u00f3n Somatosensorial<\/p>\n

3. Componentes de una interfaz h\u00e1ptica<\/p>\n

4. Renderizado h\u00e1ptico b\u00e1sico<\/p>\n

5. Proyecto modelo de CHAI3D y OpenGL<\/p>\n

6. Renderizado h\u00e1ptico avanzado<\/p>\n

7. Din\u00e1micas simples de objetos<\/p>\n

8. Psicof\u00edsica<\/p>\n

9. Dise\u00f1o de experimentos y estad\u00edstica<\/p>\n

Pr\u00e1cticas de Laboratorio<\/strong><\/h3>\n

Lab 1. Introducci\u00f3n a CHAI3D<\/p>\n

Lab 2. Proyecto modelo de CHAI3D y OpenGL<\/p>\n

Lab 3. Programaci\u00f3n de interacciones h\u00e1pticas din\u00e1micas<\/p>\n

Estructura del Curso<\/strong><\/h3>\n
    \n
  • \n

    Clases te\u00f3ricas 10-14<\/p>\n<\/li>\n

  • \n

    Tareas escritas 2-3<\/p>\n<\/li>\n

  • \n

    Clases pr\u00e1cticas (laboratorio) 2-3<\/p>\n<\/li>\n

  • \n

    Tareas de Laboratorio 3-4<\/p>\n<\/li>\n

  • \n

    Presentaci\u00f3n de Articulo<\/p>\n<\/li>\n

  • \n

    Lectura de Art\u00edculos<\/p>\n<\/li>\n

  • \n

    Proyecto final<\/p>\n<\/li>\n

  • \n

    Presentaci\u00f3n del proyecto final y demo<\/p>\n<\/li>\n<\/ul>\n

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    Matem\u00e1ticas I: Algebra Lineal<\/b><\/h1><\/div><\/div>\n

    Duraci\u00f3n: <\/strong>40 horas<\/h3>\n

    Resumen del Curso<\/strong><\/h3>\n
    \n
    El curso desarrolla en el estudiante la capacidad de comprender y aplicar los conceptos fundamentales del \u00e1lgebra lineal, incluyendo sistemas de ecuaciones lineales, matrices, vectores, espacios vectoriales y transformaciones lineales, para modelar, analizar y resolver problemas, principalmente en el \u00e1rea de la rob\u00f3tica.\u00a0<\/h6>\n
    En el curso se proporcionar\u00e1n interpretaciones geom\u00e9tricas de los conceptos m\u00e1s relevantes de \u00e1lgebra lineal para facilitar su comprensi\u00f3n. Adem\u00e1s se\u00a0ense\u00f1ar\u00e1 el uso de MATLAB como herramienta para resolver problemas de \u00e1lgebra lineal.<\/h6>\n<\/blockquote>\n

    Contenido del curso<\/strong><\/h3>\n
    1. Introducci\u00f3n<\/h6>\n

    1.1 Matrices<\/span><\/p>\n

    1.2 Operaciones b\u00e1sicas con matrices<\/span><\/p>\n

    1.3 Inversa de una matriz<\/span><\/p>\n

    2. Sistema de ecuaciones lineales y matrices<\/h6>\n

    2.1 Introducci\u00f3n<\/p>\n

    2.2 Tres ecuaciones con Tres inc\u00f3gnitas: Representaci\u00f3n Geom\u00e9trica<\/p>\n

    2.3 Ecuaciones con \u00a0inc\u00f3gnitas: eliminaci\u00f3n de Gauss-Jordan y Gaussiana<\/p>\n

    2.4 Sistema Homog\u00e9neo de Ecuaciones<\/p>\n

    2.5 Representaci\u00f3n Matricial de un Sistema de Ecuaciones Lineales<\/p>\n

    2.6 Regla de cramer<\/p>\n

    3. Vectores en el espacio bidimensional y tridimensional<\/h6>\n

    3.1 Introducci\u00f3n<\/p>\n

    3.2 Vectores en R2 y R3<\/p>\n

    4. Espacios Vectoriales<\/h6>\n

    4.1 Definici\u00f3n y Propiedades B\u00e1sicas<\/p>\n

    4.2 Subespacios<\/p>\n

    4.3 Combinaci\u00f3n Lineal<\/p>\n

    4.4 Espacio Generado<\/p>\n

    4.5 Independencia Lineal<\/p>\n

    4.6 Bases y Dimensi\u00f3n<\/p>\n

    4.7 Rango y Nulidad<\/p>\n

    4.8 Bases ortogonales: proceso de Gram-Schmidt<\/p>\n

    5. Transformaciones lineales<\/h6>\n

    5.1 Propiedades de las transformaciones lineales<\/p>\n

    5.2 Imagen y N\u00facleo de las transformaciones lineales<\/p>\n

    Bibliograf\u00eda<\/strong><\/h3>\n

    [1]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Ant\u00f3n, Howard, Introducci\u00f3n al \u00c1lgebra Lineal, 4\u00aa ed. Limusa Wiley, 2008.<\/p>\n

    [2]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Grossman, Stanley I, \u00c1lgebra Lineal, 6\u00aa ed., Mc Graw Hill, 2008.<\/p>\n

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    \n\t\t\t\t\t

    Matem\u00e1ticas II: Probabilidad<\/b><\/h1><\/div><\/div>\n

    Duraci\u00f3n: <\/strong>40 horas<\/h3>\n

    Requisitos: <\/strong>Haber cursado Matem\u00e1ticas I<\/h3>\n

    Resumen del Curso<\/strong><\/h3>\n
    \n
    Este curso permite aprender conceptos y herramientas de probabilidad que ayudan a resolver situaciones o experimentos cuyo resultado est\u00e1 siendo afectado por incertidumbres. En particular, en este curso se aprende a describir la incertidumbre en t\u00e9rminos de modelos probabil\u00edsticos y a d<\/span>esarrollar la habilidad de razonamiento probabil\u00edstico.<\/h6>\n<\/blockquote>\n

    Contenido del curso<\/strong><\/h3>\n

    1. Introducci\u00f3n<\/p>\n

    1.1 Conceptos B\u00e1sicos<\/p>\n

    1.2 Modelos de Probabilidad y Axiomas<\/p>\n

    1.3 Probabilidad condicional<\/p>\n

    1.4 Teorema de probabilidad total<\/p>\n

    1.5 Regla de Bayes<\/p>\n

    1.6 Independencia<\/p>\n

    1.7 Conteo<\/p>\n

    2. Variables aleatorias y distribuciones de probabilidad<\/p>\n

    2.1 Variables aleatorias discretas<\/p>\n

    2.2 Variables aleatorias continuas<\/p>\n

    2.3 Temas adicionales sobre variables aleatorias<\/p>\n

    3. Procesos estoc\u00e1sticos<\/p>\n

    Bibliograf\u00eda<\/strong><\/h3>\n

    1.<\/strong> G. Schay. Introduction to Probability with Statistical Applications<\/em>. Birkhauser<\/p>\n

    2. <\/b>F. M. Dekking, C. Kraaikamp, H. P. Lopuha\u00e4, and L. E. Meester. A modern introduction to probability and statistics<\/em>. Understanding why and how. Spinger<\/p>\n

    3. <\/b>R. L. Scheaffer and L. J. Young. Introduction to Probability and its Applications<\/em>. Duxbury<\/p>\n

    \u00a0<\/h6>\n

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    \n

    Av. Industrial\u00a0Metalurgia\u00a0#1062,\u00a0Parque Ind. Ramos Arizpe,\u00a0Ramos Arizpe, Coah.\u00a0C.P. 25900, M\u00e9xico. \u00a0Tel. +52 (844) 438-9600<\/p>\n

    [\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"

    \n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t<\/div>
    \n\t\t\t\t\t
    Interfaces H\u00e1pticas: Curso te\u00f3rico y experimental<\/div><\/div> Duraci\u00f3n: 40 horas Requisitos: Programaci\u00f3n b\u00e1sica en C++ Resumen del Curso Este curso ofrece una visi\u00f3n integral de la tecnolog\u00eda h\u00e1ptica, centrada en la recreaci\u00f3n del sentido del tacto mediante fuerzas, vibraciones y movimientos. El objetivo es que el estudiante domine los conceptos fundamentales a trav\u00e9s […]<\/p>\n","protected":false},"author":13,"featured_media":0,"parent":0,"menu_order":4,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"class_list":["post-300","page","type-page","status-publish","hentry"],"yoast_head":"\nCURSOS - Prof. Dra. 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