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Computer science is the study of information and computation. Many diverse fields exist within the broader discipline of computer science; some emphasize the computation of specific results (such as graphics), while others (such as computational complexity theory) relate to properties of algorithms used in performing computations. Still others, like computer programming, study the process of formally describing computations (using programming languages) for use in computer systems.

Because of its relative newness, there are some alternative definitions of computer science and its strict definition is often hotly debated. Much of the reason for this debate lies in the diversity of educational programs available in computer science, and in the variety of careers pursued by computer science graduates.

History

Main article: history of computer science

The history of computer science predates the modern digital computer, though certain fields within computer science (such as operating systems) developed in parallel with the computer; other fields, such as computer vision, have developed more recently. Early computer scientists like Kurt Gödel, Alonzo Church, Alan Turing, and others studied the computability of algorithms and mathematical functions before they could be easily automated.

Theory and practice

Many universities teach computer science as a theoretical study of computation and algorithmic reasoning. These programs often feature the theory of computation, analysis of algorithms, formal methods, concurrency control, databases, computer graphics and systems analysis, among others. They typically also teach computer programming, but treat it as a vessel for the support of other fields of computer science rather than a central focus of high-level study.

In some colleges and universities, and especially in secondary schools and vocational programs, computer science curricula emphasize the practice of advanced computer programming rather than the theory of algorithms and computation. Such curricula focus on those skills that are important to workers entering the software industry; for this reason, the practice of computer programming is often called software engineering.

Computer science rarely refers to the study of computers themselves. The renowned computer scientist Edsger Dijkstra is often quoted as saying, "Computer science is no more about computers than astronomy is about telescopes." The study of computer hardware is usually called computer engineering, and the study of commercial computer systems and their deployment is often called information technology or information systems.

Fields of computer science

Computer Science has a number of major sub-fields which can be classified by a number of means (for example the ACM classification system).

Algorithms
formal processes used for computation, and the efficiency of these processes
Applications
design and development software for everyday use
Artificial intelligence
implementation and study of systems that exhibit (either behaviourally or seemingly) an autonomous intelligence or behaviour of their own, sometimes inspired by the characteristics of living beings. Computer science is closely tied with AI, as software and computers are primary tools for the development and progression of artificial intelligence
Compilers
ways of efficiently translating algorithms from one form (usually a programming language) to another
Computational complexity theory
fundamental bounds (esp. time and storage space) on computations
Computer programming
the act of writing algorithms in a programming language
Computer graphics
algorithms both for generating visual images synthetically and for integrating or altering visual and spatial information sampled from the real world
Computer vision
algorithms for extracting three dimensional objects from a two dimensional picture
Cryptography
algorithms for protecting private data, including encryption
Data mining
study of algorithms for searching and processing information in documents and databases; closely related to information retrieval
Data structures
the organization and storage of data
Networking
algorithms and protocols for reliably communicating data across long distances, often including error correction
Operating systems
systems for managing computer programs and data structures
Programming languages
formal languages for expressing algorithms and the properties of these languages
Robotics
algorithms for controlling the behavior of robots
Scientific computing
algorithms for use in the sciences, especially (but not exclusively) biology (as in bioinformatics), physics, and chemistry
Software engineering
the process of designing, developing, and testing programs
Steganography
algorithms for covertly hiding data in seemingly unrelated documents, such as graphics
Type Theory
formal analysis of the types of data, and the use of these types to understand properties of programs, especially program safety

Careers

Graduates in Computer Science may pursue careers in (among others):

Computer programming writing the software that runs on a computer
Software engineering designing, managing, and writing large software systems
Systems analysis solving computer problems and applying computer technology to meet the individual needs of an organization
Computer science performing research, often in a specialized field of computer science
Database administration designing and managing computer database systems and managing the security of those systems, a job often also done by specialists in information technology
Web development design, development, and maintenance of World Wide Web sites, though web development is also frequently the domain of graphic designers and information technology specialists.

See also

References

External links

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