{"id":4957,"date":"2024-02-08T16:40:09","date_gmt":"2024-02-08T21:40:09","guid":{"rendered":"https:\/\/academia.utp.edu.co\/sneia\/?page_id=4957"},"modified":"2024-08-15T14:08:27","modified_gmt":"2024-08-15T19:08:27","slug":"formacion","status":"publish","type":"page","link":"https:\/\/academia.utp.edu.co\/sneia\/formacion\/","title":{"rendered":"Formaci\u00f3n"},"content":{"rendered":"\n<h2 class=\"wp-block-heading has-text-align-center has-text-color has-background has-link-color wp-elements-69e20fba7870aff637bf97d632d625f3\" style=\"color:#063564;background-color:#c7cccf;margin-right:0;margin-left:0;text-transform:none\">Fase inicial (Primer semestre)<\/h2>\n\n\n\n<p class=\"has-text-align-center\"><strong>La Fase Inicial est\u00e1 dise\u00f1ada para proporcionar a los nuevos integrantes una introducci\u00f3n s\u00f3lida a la inteligencia artificial, asegurando que adquieran los conocimientos b\u00e1sicos necesarios para su posterior desarrollo en neuroinform\u00e1tica e inclusi\u00f3n en futuros proyectos del semillero.<\/strong><\/p>\n\n\n\n<h5 class=\"wp-block-heading\">2024-2<\/h5>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-28f84493 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<div class=\"wp-block-group is-layout-constrained wp-block-group-is-layout-constrained\">\n<p class=\"has-text-align-center\"><strong>Semana 1<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Bienvenida<\/li>\n<\/ul>\n\n\n\n<p class=\"has-text-align-center\"><strong>Semana 2<\/strong><\/p>\n<\/div>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Introducci\u00f3n a Neuroinform\u00e1tica e IA<\/li>\n<\/ul>\n\n\n\n<p class=\"has-text-align-center\"><strong>Semana 3<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Python \/ Bases y ejercicios sesi\u00f3n1<\/li>\n<\/ul>\n\n\n\n<p class=\"has-text-align-center\"><strong>Semana 4<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Python \/ Bases y ejercicios sesi\u00f3n2<\/li>\n<\/ul>\n\n\n\n<p class=\"has-text-align-center\"><strong>Semana 5<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Machine Learning \/ K-means&amp;SVM (teor\u00eda)<\/li>\n<\/ul>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<p class=\"has-text-align-center\"><strong>Semana 6<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Machine Learning \/ K-means&amp;SVM (ejemplos pr\u00e1cticos)<\/li>\n<\/ul>\n\n\n\n<p class=\"has-text-align-center\"><strong>Semana 7<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Machine Learning \/ Random Forest<\/li>\n<\/ul>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<p class=\"has-text-align-center\"><strong>Semana 8<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Neural Networks \/ Introducci\u00f3n a DNN con mnist<\/li>\n<\/ul>\n\n\n\n<p class=\"has-text-align-center\"><strong>Semana 9<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Neural Networks \/ Introducci\u00f3n a CNN con fashion_mnist<\/li>\n<\/ul>\n\n\n\n<p class=\"has-text-align-center\"><strong>Semana 10<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Neural Networks \/ CNN m\u00e1s complejas y t\u00e9cnicas de mejora de accuracy<\/li>\n<\/ul>\n\n\n\n<p class=\"has-text-align-center\"><strong>Semana 11<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Neural Networks \/ Introducci\u00f3n a Transfer Learning<\/li>\n<\/ul>\n\n\n\n<p class=\"has-text-align-center\"><strong>Semana 12<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Neural Networks \/ RNN y LSTM<\/li>\n<\/ul>\n\n\n\n<p class=\"has-text-align-center\"><strong>Semana 13<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Neural Networks \/ Introducci\u00f3n a Transformers<\/li>\n<\/ul>\n<\/div>\n<\/div>\n\n\n\n<h5 class=\"wp-block-heading\">2024-2<\/h5>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-28f84493 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<div class=\"wp-block-group is-layout-constrained wp-block-group-is-layout-constrained\">\n<p class=\"has-text-align-center\"><strong>Semana 1<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Bienvenida<\/li>\n<\/ul>\n\n\n\n<p class=\"has-text-align-center\"><strong>Semana 2<\/strong><\/p>\n<\/div>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Introducci\u00f3n a Neuroinform\u00e1tica e Inteligencia Artificial, junto con socializaci\u00f3n de posibles proyectos de investigaci\u00f3n<\/li>\n<\/ul>\n\n\n\n<p class=\"has-text-align-center\"><strong>Semana 3<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Bases y ejercicios de Python sesi\u00f3n1<\/li>\n<\/ul>\n\n\n\n<p class=\"has-text-align-center\"><strong>Semana 4<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Bases y ejercicios de Python sesi\u00f3n2<\/li>\n<\/ul>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<p class=\"has-text-align-center\"><strong>Semana 5<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Machine Learning \/ K-means &amp; SVM (teor\u00eda)<\/li>\n<\/ul>\n\n\n\n<p class=\"has-text-align-center\"><strong>Semana 6<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Machine Learning \/ K-means &amp; SVM (ejemplos)<\/li>\n<\/ul>\n\n\n\n<p class=\"has-text-align-center\"><strong>Semana 7<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Machine Learning \/ Random Forest<\/li>\n<\/ul>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<p class=\"has-text-align-center\"><strong>Semana 8<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Neural Networks \/ Introducci\u00f3n a DNN con mnist<\/li>\n<\/ul>\n\n\n\n<p class=\"has-text-align-center\"><strong>Semana 9<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Neural Networks \/ Introducci\u00f3n a CNN con fashion_mnist<\/li>\n<\/ul>\n\n\n\n<p class=\"has-text-align-center\"><strong>Semana 10<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Neural Networks \/ CNN m\u00e1s complejas y t\u00e9cnicas de mejora de CNN<\/li>\n<\/ul>\n\n\n\n<p class=\"has-text-align-center\"><strong>Semana 11<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Neural Networks \/ Introducci\u00f3n a Transfer Learning con ejemplo<\/li>\n<\/ul>\n\n\n\n<p class=\"has-text-align-center\"><strong>Semana 12<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Neural Networks \/ RNN y LSTM<\/li>\n<\/ul>\n\n\n\n<p class=\"has-text-align-center\"><strong>Semana 13<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Neural Networks \/ Introducci\u00f3n a Transformers<\/li>\n<\/ul>\n<\/div>\n<\/div>\n\n\n\n<div style=\"height:100px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading has-text-align-center has-text-color has-background has-link-color wp-elements-f032a8fff4c433ad71b601a3a13cea67\" style=\"color:#063564;background-color:#c7cccf;margin-right:0;margin-left:0;text-transform:none\">Fase de Ense\u00f1anza (Segundo semestre)<\/h2>\n\n\n\n<p class=\"has-text-align-center\"><strong>La fase de ense\u00f1anza del semillero se centra en la consolidaci\u00f3n del conocimiento de inteligencia artificial a trav\u00e9s de la rotaci\u00f3n de responsabilidades docentes entre miembros avanzados y nuevos, promoviendo el aprendizaje activo y el desarrollo de habilidades pedag\u00f3gicas y comunicativas.<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Objetivos:<\/strong> La fase de ense\u00f1anza est\u00e1 dise\u00f1ada para mantener el dinamismo del semillero y asegurar que los nuevos miembros adquieran una s\u00f3lida comprensi\u00f3n de los conceptos b\u00e1sicos de inteligencia artificial. Al mismo tiempo, se busca que los miembros avanzados refuercen y consoliden sus conocimientos previamente adquiridos, desarrollen habilidades pedag\u00f3gicas y mejoren sus capacidades de comunicaci\u00f3n.<\/li>\n\n\n\n<li><strong>Metodolog\u00eda: <\/strong>\n<ul class=\"wp-block-list\">\n<li><strong>Rotaci\u00f3n de Ense\u00f1anza:<\/strong> Los miembros que ya han pasado la primer fase se encargan de ense\u00f1ar a los nuevos integrantes, alternando la responsabilidad de impartir las sesiones. Esta rotaci\u00f3n permite que todos los miembros tengan la oportunidad de ense\u00f1ar y aprender de diferentes perspectivas.<\/li>\n\n\n\n<li><strong>T\u00e9cnica Feynman:<\/strong> Bas\u00e1ndonos en la t\u00e9cnica Feynman, promovemos la idea de aprender explicando. Los miembros de esta fase consolidan su conocimiento al ense\u00f1arlo a otros, convirtiendo el proceso de aprendizaje en una actividad din\u00e1mica y efectiva.<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>Actividades: <\/strong>\n<ul class=\"wp-block-list\">\n<li><strong>Reuniones Preparatorias:<\/strong> Antes de cada sesi\u00f3n de ense\u00f1anza, se realiza una reuni\u00f3n simulacro con el miembro que impartir\u00e1 la clase. En esta reuni\u00f3n, se proporcionan retroalimentaci\u00f3n y aclaraciones sobre los conceptos a ense\u00f1ar, asegurando que el contenido sea claro y preciso.<\/li>\n\n\n\n<li><strong>Sesiones de Ense\u00f1anza:<\/strong> Durante la sesi\u00f3n, el miembro encargado realiza una explicaci\u00f3n te\u00f3rica del tema seguida de una actividad pr\u00e1ctica con ejemplos. Estas sesiones cuentan con el apoyo del tutor del semillero y de otros miembros avanzados para proporcionar asistencia en caso de ser necesario.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<p><strong>Nota:<\/strong> Se permite a los nuevos integrantes comenzar a asistir a las sesiones de la fase avanzada cuando se sientan preparados.<\/p>\n\n\n\n<div style=\"height:100px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading has-text-align-center has-text-color has-background has-link-color wp-elements-0f649229af7c79951fc7539cd53aa6c0\" style=\"color:#063564;background-color:#c7cccf;margin-right:0;margin-left:0;text-transform:none\">Fase Avanzada (Tercer semestre en adelante)<\/h2>\n\n\n\n<p class=\"has-text-align-center\"><strong>La Fase Avanzada del semillero se enfoca en la exploraci\u00f3n profunda de temas especializados en neuroinform\u00e1tica. Esta fase tiene como prop\u00f3sito desarrollar habilidades avanzadas de investigaci\u00f3n y manejo de datos, preparando a los miembros para contribuir significativamente en proyectos de investigaci\u00f3n.<\/strong><\/p>\n\n\n\n<h5 class=\"wp-block-heading\">2024-1<\/h5>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Principios b\u00e1sicos de la Electroencefalograf\u00eda desde el \u00e1mbito m\u00e9dico<\/li>\n\n\n\n<li>Ubicaci\u00f3n de electrodos<\/li>\n\n\n\n<li>Introducci\u00f3n a MATLAB para el procesamiento de se\u00f1ales.<\/li>\n\n\n\n<li>Instalaci\u00f3n y configuraci\u00f3n de EEGLab.<\/li>\n\n\n\n<li>Carga, visualizaci\u00f3n de datos EEG en EEGLab<\/li>\n\n\n\n<li>Aplicaci\u00f3n espec\u00edfica de la EEG en la medicina (ejemplo de proyecto en curso)<\/li>\n\n\n\n<li>Explicacion de lo que se ha trabajado en los proyectos<\/li>\n\n\n\n<li>Artefactos comunes en las Se\u00f1ales EEG<\/li>\n\n\n\n<li>Preprocesamiento de datos EEG continuos con EEGLab<\/li>\n\n\n\n<li>ICA para remoci\u00f3n de artefactos<\/li>\n<\/ul>\n\n\n\n<h5 class=\"wp-block-heading\">2024-2<\/h5>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n","protected":false},"excerpt":{"rendered":"<p>Fase inicial (Primer semestre) La Fase Inicial est\u00e1 dise\u00f1ada para proporcionar a los nuevos integrantes una introducci\u00f3n s\u00f3lida a la inteligencia artificial, asegurando que adquieran los conocimientos b\u00e1sicos necesarios para [&hellip;]<\/p>\n","protected":false},"author":1917,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_uag_custom_page_level_css":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"class_list":["post-4957","page","type-page","status-publish","hentry"],"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false},"uagb_author_info":{"display_name":"michellguevara","author_link":"https:\/\/academia.utp.edu.co\/sneia\/author\/michellguevara\/"},"uagb_comment_info":0,"uagb_excerpt":"Fase inicial (Primer semestre) La Fase Inicial est\u00e1 dise\u00f1ada para proporcionar a los nuevos integrantes una introducci\u00f3n s\u00f3lida a la inteligencia artificial, asegurando que adquieran los conocimientos b\u00e1sicos necesarios para [&hellip;]","_links":{"self":[{"href":"https:\/\/academia.utp.edu.co\/sneia\/wp-json\/wp\/v2\/pages\/4957","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/academia.utp.edu.co\/sneia\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/academia.utp.edu.co\/sneia\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/academia.utp.edu.co\/sneia\/wp-json\/wp\/v2\/users\/1917"}],"replies":[{"embeddable":true,"href":"https:\/\/academia.utp.edu.co\/sneia\/wp-json\/wp\/v2\/comments?post=4957"}],"version-history":[{"count":23,"href":"https:\/\/academia.utp.edu.co\/sneia\/wp-json\/wp\/v2\/pages\/4957\/revisions"}],"predecessor-version":[{"id":5420,"href":"https:\/\/academia.utp.edu.co\/sneia\/wp-json\/wp\/v2\/pages\/4957\/revisions\/5420"}],"wp:attachment":[{"href":"https:\/\/academia.utp.edu.co\/sneia\/wp-json\/wp\/v2\/media?parent=4957"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}