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INFORMATICA & ELECTRONICA  

La informática es la disciplina que estudia el tratamiento automático de la información utilizando dispositivos electrónicos y sistemas computacionales. También es definida como el procesamiento de información en forma automática. Para ello los sistemas informáticos deben realizar las siguientes tareas básicas:
bulletEntrada: Captación de información.
bulletProcesamiento o tratamiento de dicha información.
bulletSalida: Transmisión de resultados.

(Estas tres tareas básicas en conjunto son lo que se conoce como algoritmo)

El vocablo Informática proveniente del francés informatique, acuñado por el ingeniero Philippe Dreyfus en 1962, acrónimo de las palabras information y automatique. En lo que hoy conocemos como informática confluyen muchas de las técnicas y de las máquinas que el hombre ha desarrollado a lo largo de la historia para apoyar y potenciar sus capacidades de memoria, de pensamiento y de comunicación.

La informática se aplica a diversidad areas, como por ejemplo: gestión de negocio, almacenamiento de información, monitorización y control de procesos, robots industriales, comunicaciones, control de transportes, investigación, desarrollo de juegos, diseño computarizado, aplicaciones/herramientas multimedia, etc.

En la informática convergen los fundamentos de las ciencias de la computación (hardware), la programación y las metodologías para el desarrollo de software, la arquitectura de computadores, las redes de datos como Internet, la inteligencia artificial, así como determinados temas de electrónica. Se puede entender por informática a la unión sinérgica de todo este conjunto de disciplinas.

Fuente: Wikipedia

 
Computer science is frequently derided by the sentence "Any field which has to have 'science' in its name isn't one." This was placed in print by physicist Richard Feynman in his Lectures on Computation (1996).

Despite its name, a significant amount of computer science does not involve the study of computers themselves. Because of this, several alternative names have been proposed. Danish scientist Peter Naur suggested the term datalogy, to reflect the fact that the scientific discipline revolves around data and data treatment, while not necessarily involving computers. The first scientific institution to use the term was the Department of Datalogy at the University of Copenhagen, founded in 1969, with Peter Naur being the first professor in datalogy. The term is used mainly in the Scandinavian countries. Also, in the early days of computing, a number of terms for the practitioners of the field of computing were suggested in the Communications of the ACMturingineer, turologist, flow-charts-man, applied meta-mathematician, and applied epistemologist.[9] Three months later in the same journal, comptologist was suggested, followed next year by hypologist.[10] Recently the term computics has been suggested.[11] Infomatik was a term used in Europe with more frequency.

The renowned computer scientist Edsger Dijkstra stated, "Computer science is no more about computers than astronomy is about telescopes." The design and deployment of computers and computer systems is generally considered the province of disciplines other than computer science. For example, the study of computer hardware is usually considered part of computer engineering, while the study of commercial computer systems and their deployment is often called information technology or information systems. Computer science is sometimes criticized as being insufficiently scientific, a view espoused in the statement "Science is to computer science as hydrodynamics is to plumbing", credited to Stan Kelly-Bootle[12] and others. However, there has been much cross-fertilization of ideas between the various computer-related disciplines. Computer science research has also often crossed into other disciplines, such as artificial intelligence, cognitive science, physics (see quantum computing), and linguistics.

Computer science is considered by some to have a much closer relationship with mathematics than many scientific disciplines.[13] Early computer science was strongly influenced by the work of mathematicians such as Kurt Gödel and Alan Turing, and there continues to be a useful interchange of ideas between the two fields in areas such as mathematical logic, category theory, domain theory, and algebra.

The relationship between computer science and software engineering is a contentious issue, which is further muddied by disputes over what the term "software engineering" means, and how computer science is defined. David Parnas, taking a cue from the relationship between other engineering and science disciplines, has claimed that the principal focus of computer science is studying the properties of computation in general, while the principal focus of software engineering is the design of specific computations to achieve practical goals, making the two separate but complementary disciplines.[14]

The academic political and funding aspects of computer science tend to have roots as to whether a department in the U.S. formed with either a mathematical emphasis or an engineering emphasis. In general, electrical engineering-based computer science departments have tended to succeed as computer science and/or engineering departments.[citation needed] Computer science departments with a mathematics emphasis and with a numerical orientation consider alignment computational science. Both types of departments tend to make efforts to bridge the field educationally if not across all research.

Source: Wikipedia