Vídeo tutorial de introducción al uso de Matlab R2007a

[ES]Vídeo tutorial de introducción al uso de Matlab R2007a, dirigido a estudiantes de ingenierías

Vídeo tutorial de introducción al uso de Word (Office XP)

[ES]Vídeo tutorial de introducción al manejo de Word dentro del paquete Office XP

Vídeo tutorial de introducción al uso de Powerpoint (Office XP)

[ES]Vídeo tutorial de introducción al manejo de Powerpoint dentro del paquete Office XP

La acción tutorial en los estudiantes universitarios con discapacidad

Este aporte pone énfasis en la importancia de la acción tutorial dirigida al colectivo de estudiantes con discapacidad en el contexto universitario. Presenta los resultados más significativos del estudio que sobre actuaciones tutoriales realizan los Servicios, Unidades u Oficinas de atención a los estudiantes universitarios con discapacidad de más 45 universidades españolas, en relación con la promoción, la acogida, la permanencia y el egreso. Los aportes remarcan la importancia de organizar la respuesta a través de un Plan de Acción Tutorial orquestado desde las etapas de motivación y sensibilización, planificación, ejecución, evaluación e institucionalización. Entre las principales conclusiones, sobresale la importancia de avanzar hacia una universidad realmente inclusiva desde la acción tutorial, proporcionando, al respecto, una Guía para la atención a los alumnos universitarios con discapacidad.

A Tutorial on the Universality and Expressiveness of Fold

In functional programming, fold is a standard operator that encapsulates a simple pattern of recursion for processing lists. This article is a tutorial on two key aspects of the fold operator for lists. First of all, we emphasize the use of the universal property of fold both as a proof principle that avoids the need for inductive proofs, and as a definition principle that guides the transformation of recursive functions into definitions using fold. Secondly, we show that even though the pattern of recursion encapsulated by fold is simple, in a language with tuples and functions as first-class values the fold operator has greater expressive power than might first be expected.

'Artificial Immune Systems Tutorial'

The biological immune system is a robust, complex, adaptive system that defends the body from foreign pathogens. It is able to categorize all cells (or molecules) within the body as self-cells or non-self cells. It does this with the help of a distributed task force that has the intelligence to take action from a local and also a global perspective using its network of chemical messengers for communication. There are two major branches of the immune system. The innate immune system is an unchanging mechanism that detects and destroys certain invading organisms, whilst the adaptive immune system responds to previously unknown foreign cells and builds a response to them that can remain in the body over a long period of time. This remarkable information processing biological system has caught the attention of computer science in recent years. A novel computational intelligence technique, inspired by immunology, has emerged, called Artificial Immune Systems. Several concepts from the immune have been extracted and applied for solution to real world science and engineering problems. In this tutorial, we briefly describe the immune system metaphors that are relevant to existing Artificial Immune Systems methods. We will then show illustrative real-world problems suitable for Artificial Immune Systems and give a step-by-step algorithm walkthrough for one such problem. A comparison of the Artificial Immune Systems to other well-known algorithms, areas for future work, tips & tricks and a list of resources will round this tutorial off. It should be noted that as Artificial Immune Systems is still a young and evolving field, there is not yet a fixed algorithm template and hence actual implementations might differ somewhat from time to time and from those examples given here.

'Artificial Immune Systems Tutorial'

The biological immune system is a robust, complex, adaptive system that defends the body from foreign pathogens. It is able to categorize all cells (or molecules) within the body as self-cells or non-self cells. It does this with the help of a distributed task force that has the intelligence to take action from a local and also a global perspective using its network of chemical messengers for communication. There are two major branches of the immune system. The innate immune system is an unchanging mechanism that detects and destroys certain invading organisms, whilst the adaptive immune system responds to previously unknown foreign cells and builds a response to them that can remain in the body over a long period of time. This remarkable information processing biological system has caught the attention of computer science in recent years. A novel computational intelligence technique, inspired by immunology, has emerged, called Artificial Immune Systems. Several concepts from the immune have been extracted and applied for solution to real world science and engineering problems. In this tutorial, we briefly describe the immune system metaphors that are relevant to existing Artificial Immune Systems methods. We will then show illustrative real-world problems suitable for Artificial Immune Systems and give a step-by-step algorithm walkthrough for one such problem. A comparison of the Artificial Immune Systems to other well-known algorithms, areas for future work, tips & tricks and a list of resources will round this tutorial off. It should be noted that as Artificial Immune Systems is still a young and evolving field, there is not yet a fixed algorithm template and hence actual implementations might differ somewhat from time to time and from those examples given here.