jueves, 23 de junio de 2011
sábado, 6 de marzo de 2010
martes, 2 de marzo de 2010
martes, 23 de febrero de 2010
Programa del curso
Planificación del módulo
Temario
1. Introducción
Definiciones básicas para pensar la sociedad de la información.
Conceptos clave para pensar la sociedad de la información: Platón, Pierre Bourdieu, Roman
2. Producir y consumir en la sociedad de la informacion
a. El proceso coperativo
b. El mundo económico: de Pareto a la larga cola.
c. Procesos politicos: política 2.0 y nuevo periodismo.
d. El mundo del trabajo
3. Educar en la sociedad de la información
Competencias del siglo XXI, e-competencias.
Mediaciones (ver video y explorar el concepto)
Nativos digitales
Conceptos claves
Procesos de producción y consumo
Educación:
Recreos
Literatura e internet (la novela de barcelona)
noticias
tim burton
moma
aldo sessa
Temario
1. Introducción
Definiciones básicas para pensar la sociedad de la información.
Conceptos clave para pensar la sociedad de la información: Platón, Pierre Bourdieu, Roman
2. Producir y consumir en la sociedad de la informacion
a. El proceso coperativo
b. El mundo económico: de Pareto a la larga cola.
c. Procesos politicos: política 2.0 y nuevo periodismo.
d. El mundo del trabajo
3. Educar en la sociedad de la información
Competencias del siglo XXI, e-competencias.
Mediaciones (ver video y explorar el concepto)
Nativos digitales
Conceptos claves
Procesos de producción y consumo
Educación:
Recreos
Literatura e internet (la novela de barcelona)
noticias
tim burton
moma
aldo sessa
materiales
Planificación del Módulo (en función de lo propuesto en el proyecto)
Un material didáctico de base (PDF)
El léxico correspondiente a los términos del módulo (formato PDF)
Bibliografía indicativa de las principales referencias (formato PDF)
Actividades parciales y Actividad de Integración (formato PDF)
Sugerencia de lecturas, audios, vídeos, vínculos Internet (formato PDF, HTML, AVI)
Una síntesis del módulo, al finalizar el módulo (formato PPT)
Un material didáctico de base (PDF)
El léxico correspondiente a los términos del módulo (formato PDF)
Bibliografía indicativa de las principales referencias (formato PDF)
Actividades parciales y Actividad de Integración (formato PDF)
Sugerencia de lecturas, audios, vídeos, vínculos Internet (formato PDF, HTML, AVI)
Una síntesis del módulo, al finalizar el módulo (formato PPT)
domingo, 17 de enero de 2010
Generalidades y definiciones generales
Volumen
http://alt1040.com/2009/09/si-imprimieramos-todo-internet
estadisticas reales
http://www.worldometers.info/es/
Entrevista a manuel castells
http://pbongiovanni.blogspot.com/2009/09/entrevista-manuel-castells-en-el.html
la era del petabyte
THE END OF THEORY
Will the Data Deluge Makes the Scientific Method Obsolete?
By Chris Anderson
Sixty years ago, digital computers made information readable. Twenty years ago, the Internet made it reachable. Ten years ago, the first search engine crawlers made it a single database. Now Google and like-minded companies are sifting through the most measured age in history, treating this massive corpus as a laboratory of the human condition. They are the children of the Petabyte Age.
The Petabyte Age is different because more is different. Kilobytes were stored on floppy disks. Megabytes were stored on hard disks. Terabytes were stored in disk arrays. Petabytes are stored in the cloud. As we moved along that progression, we went from the folder analogy to the file cabinet analogy to the library analogy to — well, at petabytes we ran out of organizational analogies.
At the petabyte scale, information is not a matter of simple three- and four-dimensional taxonomy and order but of dimensionally agnostic statistics. It calls for an entirely different approach, one that requires us to lose the tether of data as something that can be visualized in its totality. It forces us to view data mathematically first and establish a context for it later. For instance, Google conquered the advertising world with nothing more than applied mathematics. It didn't pretend to know anything about the culture and conventions of advertising — it just assumed that better data, with better analytical tools, would win the day. And Google was right.
Google's founding philosophy is that we don't know why this page is better than that one: If the statistics of incoming links say it is, that's good enough. No semantic or causal analysis is required. That's why Google can translate languages without actually "knowing" them (given equal corpus data, Google can translate Klingon into Farsi as easily as it can translate French into German). And why it can match ads to content without any knowledge or assumptions about the ads or the content
Lectura
Introduccion sobre la singularidad de nuestro tiempo que corresponde al inicio de la segunda edad contemporánea
que busquen definición, criterios y características.
http://alt1040.com/2009/09/si-imprimieramos-todo-internet
estadisticas reales
http://www.worldometers.info/es/
Entrevista a manuel castells
http://pbongiovanni.blogspot.com/2009/09/entrevista-manuel-castells-en-el.html
la era del petabyte
THE END OF THEORY
Will the Data Deluge Makes the Scientific Method Obsolete?
By Chris Anderson
Sixty years ago, digital computers made information readable. Twenty years ago, the Internet made it reachable. Ten years ago, the first search engine crawlers made it a single database. Now Google and like-minded companies are sifting through the most measured age in history, treating this massive corpus as a laboratory of the human condition. They are the children of the Petabyte Age.
The Petabyte Age is different because more is different. Kilobytes were stored on floppy disks. Megabytes were stored on hard disks. Terabytes were stored in disk arrays. Petabytes are stored in the cloud. As we moved along that progression, we went from the folder analogy to the file cabinet analogy to the library analogy to — well, at petabytes we ran out of organizational analogies.
At the petabyte scale, information is not a matter of simple three- and four-dimensional taxonomy and order but of dimensionally agnostic statistics. It calls for an entirely different approach, one that requires us to lose the tether of data as something that can be visualized in its totality. It forces us to view data mathematically first and establish a context for it later. For instance, Google conquered the advertising world with nothing more than applied mathematics. It didn't pretend to know anything about the culture and conventions of advertising — it just assumed that better data, with better analytical tools, would win the day. And Google was right.
Google's founding philosophy is that we don't know why this page is better than that one: If the statistics of incoming links say it is, that's good enough. No semantic or causal analysis is required. That's why Google can translate languages without actually "knowing" them (given equal corpus data, Google can translate Klingon into Farsi as easily as it can translate French into German). And why it can match ads to content without any knowledge or assumptions about the ads or the content
Lectura
Introduccion sobre la singularidad de nuestro tiempo que corresponde al inicio de la segunda edad contemporánea
que busquen definición, criterios y características.
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