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Una plantilla atractiva, moderna y dinámica para evaluaciones y guías de la UC.
Esta plantilla es una derivación directa de la plantilla existente y públicamente liberada de la Escuela de Ingeniería de la Universidad de Edinburgh. Puedes ver mas información de la licencia pertinente en LICENSE.md
La plantilla otorga diversas opciones que permiten formar un documento listo en minutos, con alta flexibilidad y código mantenible.
La plantilla otorga diversas opciones que permiten formar un documento listo en minutos, con alta flexibilidad y código mantenible, entre otras:
Soporte de emojis ✨
Soporte de bloques de código (con `formato`) ⌨️
Unidad Académica
Código del Curso y Título
Fecha del Documento
Presencia de respuestas (genera rúbricas automáticamente)
Número de preguntas que hay que responder
Si se puede utilizar calculadora
Si se incluye una hoja de fórmulas
Si la prueba es con libro abierto
Si requiere puntaje por pregunta
...
Se puede encontrar mas información y documentación sobre el proyecto en agucova.github.io/plantilla-uc
Agustín Covarrubias (derived from F. Teixeira-Dias, A. Giannopoulos)
This is the template I use for NASA ROSES Proposals. It represents only my personal interpretation of how a ROSES proposal should be structured and is no way endorsed by, or affiliated with, NASA. The compiled product is not guaranteed to conform to NASA formatting and content guidelines. Check the current guidebook for proposers and ROSES NRA before using.
This template is the official Final Year Project (FYP) thesis template for the Faculty of Electrical Engineering (FKE). This template was originally designed and developed by Lim Lian Tze of USM in 2014. A significant modification was made by Nor Hafeizah Hassan and Gede Pramudya (FTMK) in 2015. Later modified further by Ahmad Sadhiqin Mohd Isira in Dec 2020 for FKEKK and modified further for FKE by Ahmad Sadhiqin bin Mohd Isira in Apr 2022.
New thesis template for National Polytechnic School (EPN) of Ecuador
Version: No. CD 02-2016, July 2016
Mejoras 2017
Trabajo de titulación: "Proyecto Integrador"
Network Neuroscience features innovative scientific work that significantly advances our understanding of network organization and function in the brain across all scales, from molecules and neurons to circuits and systems.
Positioned at the intersection of brain and network sciences, the journal covers empirical and computational studies that record, analyze or model relational data among elements of neurobiological systems, including neuronal signaling and information flow in circuits, patterns of functional connectivity recorded with electrophysiological or imaging methodology, studies of anatomical connections among neurons and brain regions, and interactions among biomolecules or genes. The journal aims to cover studies carried out in all neurobiological systems and all species, including humans.
Network Neuroscience publishes Research, Methods, Data, Review and Perspective articles.
MIT Press and Overleaf
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