Difference between revisions of "Category:Computer science"

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Its fields can be divided into theoretical and [[wikipedia:practical disciplines|practical disciplines]]. For example, the [[wikipedia:theory of computation|theory of computation]] concerns abstract [[wikipedia:models of computation|models of computation]] and general classes of [[wikipedia:computational problem|problems]] that can be solved using them, while [[wikipedia:Computer graphics (computer science)|computer graphics]] or [[wikipedia:computational geometry|computational geometry]] emphasize more specific applications. [[wikipedia:Algorithm|Algorithm]]s and [[wikipedia:data structures|data structures]] have been called the heart of computer science.<ref>{{Cite book|last=Harel, David.|url=http://worldcat.org/oclc/876384882|title=Algorithmics The Spirit of Computing|date=2014|publisher=Springer Berlin|isbn=978-3-642-44135-6|oclc=876384882}}</ref> [[wikipedia:Programming language theory|Programming language theory]] considers approaches to the description of computational processes, while [[wikipedia:computer programming|computer programming]] involves the use of them to create [[wikipedia:complex system|complex system]]s. [[wikipedia:Computer architecture|Computer architecture]] describes construction of computer components and computer-operated equipment. [[wikipedia:Artificial intelligence|Artificial intelligence]] aims to synthesize goal-orientated processes such as problem-solving, decision-making, environmental adaptation, [[wikipedia:Automated planning and scheduling|planning]] and [[wikipedia:Computational learning theory|learning]] found in humans and animals. A digital computer is capable of simulating various [[wikipedia:information processing|information processes]].<ref>{{Cite web|last=|first=|date=2006-05-25|title=COMPUTER SCIENCE: THE DISCIPLINE|url=http://www.idi.ntnu.no/emner/dif8916/denning.pdf|url-status=live|archive-url=https://web.archive.org/web/20060525195404/http://www.idi.ntnu.no/emner/dif8916/denning.pdf|archive-date=May 25, 2006|access-date=2021-01-04}}</ref> The fundamental concern of computer science is determining what can and cannot be automated.<ref>{{Cite web|last=The MIT Press|title=What Can Be Automated? Computer Science and Engineering Research Study {{!}} The MIT Press|url=https://mitpress.mit.edu/books/what-can-be-automated|url-status=live|archive-url=|archive-date=|access-date=|website=mitpress.mit.edu|language=en}}</ref> Computer scientists usually focus on academic research. The [[wikipedia:Turing Award|Turing Award]] is generally recognized as the highest distinction in computer sciences.
Its fields can be divided into theoretical and [[wikipedia:practical disciplines|practical disciplines]]. For example, the [[wikipedia:theory of computation|theory of computation]] concerns abstract [[wikipedia:models of computation|models of computation]] and general classes of [[wikipedia:computational problem|problems]] that can be solved using them, while [[wikipedia:Computer graphics (computer science)|computer graphics]] or [[wikipedia:computational geometry|computational geometry]] emphasize more specific applications. [[wikipedia:Algorithm|Algorithm]]s and [[wikipedia:data structures|data structures]] have been called the heart of computer science.<ref>{{Cite book|last=Harel, David.|url=http://worldcat.org/oclc/876384882|title=Algorithmics The Spirit of Computing|date=2014|publisher=Springer Berlin|isbn=978-3-642-44135-6|oclc=876384882}}</ref> [[wikipedia:Programming language theory|Programming language theory]] considers approaches to the description of computational processes, while [[wikipedia:computer programming|computer programming]] involves the use of them to create [[wikipedia:complex system|complex system]]s. [[wikipedia:Computer architecture|Computer architecture]] describes construction of computer components and computer-operated equipment. [[wikipedia:Artificial intelligence|Artificial intelligence]] aims to synthesize goal-orientated processes such as problem-solving, decision-making, environmental adaptation, [[wikipedia:Automated planning and scheduling|planning]] and [[wikipedia:Computational learning theory|learning]] found in humans and animals. A digital computer is capable of simulating various [[wikipedia:information processing|information processes]].<ref>{{Cite web|last=|first=|date=2006-05-25|title=COMPUTER SCIENCE: THE DISCIPLINE|url=http://www.idi.ntnu.no/emner/dif8916/denning.pdf|url-status=live|archive-url=https://web.archive.org/web/20060525195404/http://www.idi.ntnu.no/emner/dif8916/denning.pdf|archive-date=May 25, 2006|access-date=2021-01-04}}</ref> The fundamental concern of computer science is determining what can and cannot be automated.<ref>{{Cite web|last=The MIT Press|title=What Can Be Automated? Computer Science and Engineering Research Study {{!}} The MIT Press|url=https://mitpress.mit.edu/books/what-can-be-automated|url-status=live|archive-url=|archive-date=|access-date=|website=mitpress.mit.edu|language=en}}</ref> Computer scientists usually focus on academic research. The [[wikipedia:Turing Award|Turing Award]] is generally recognized as the highest distinction in computer sciences.
[[Category:Formal sciences]]

Latest revision as of 16:55, September 13, 2021

Computer science is the study of algorithmic processes, computational machines and computation itself.[1] As a discipline, computer science spans a range of topics from theoretical studies of algorithms, computation and information to the practical issues of implementing computational systems in hardware and software.[2][3]

Its fields can be divided into theoretical and practical disciplines. For example, the theory of computation concerns abstract models of computation and general classes of problems that can be solved using them, while computer graphics or computational geometry emphasize more specific applications. Algorithms and data structures have been called the heart of computer science.[4] Programming language theory considers approaches to the description of computational processes, while computer programming involves the use of them to create complex systems. Computer architecture describes construction of computer components and computer-operated equipment. Artificial intelligence aims to synthesize goal-orientated processes such as problem-solving, decision-making, environmental adaptation, planning and learning found in humans and animals. A digital computer is capable of simulating various information processes.[5] The fundamental concern of computer science is determining what can and cannot be automated.[6] Computer scientists usually focus on academic research. The Turing Award is generally recognized as the highest distinction in computer sciences.

  1. "What is Computer Science? - Computer Science.The University of York". www.cs.york.ac.uk. Retrieved 2020-06-11.
  2. "WordNet Search—3.1". Wordnetweb.princeton.edu. Retrieved 14 May 2012.
  3. "Definition of computer science | Dictionary.com". www.dictionary.com. Retrieved 2020-06-11.
  4. Harel, David. (2014). Algorithmics The Spirit of Computing. Springer Berlin. ISBN 978-3-642-44135-6. OCLC 876384882.
  5. "COMPUTER SCIENCE: THE DISCIPLINE" (PDF). 2006-05-25. Archived (PDF) from the original on May 25, 2006. Retrieved 2021-01-04.
  6. The MIT Press. "What Can Be Automated? Computer Science and Engineering Research Study | The MIT Press". mitpress.mit.edu.

Pages in category "Computer science"

This category contains only the following page.