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Because of this, several alternative names have been proposed. Danish scientist Peter Naur suggested the term datalogy, [28] to reflect the fact that the scientific discipline revolves around data and data treatment, while not necessarily involving computers.

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The first scientific institution to use the term was cam roullete Department of Datalogy at the University of Copenhagen, founded inwith Peter Naur being the first professor in datalogy. The term is used mainly in the Scandinavian countries. An alternative term, also proposed by Naur, is data science ; this is now used for a multi-disciplinary field of data analysis, including statistics and databases.

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 ACM—turingineer, turologist, my free cs, applied meta-mathematician, and applied epistemologist. For example, the study of computer hardware is usually considered part of computer engineering my free cs, while the study of commercial computer systems and their deployment is often called information technology or information systems. However, there has been much cross-fertilization of ideas between the various computer-related disciplines.

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Computer science research also often intersects other disciplines, such as philosophy, cognitive sciencelinguisticsmathematicsphysicsbiologyEarth sciencestatisticsand logic. Computer science is considered by some to have a much closer relationship with mathematics than many scientific disciplines, with some observers saying that computing is a mathematical science.

Computer science departments with a mathematics emphasis and with a numerical orientation consider alignment with my free cs science. Both types of departments tend to make efforts to bridge the field educationally if not across all research.

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Main article: Philosophy of computer science A number of computer scientists have argued for the distinction of three separate paradigms in computer science. Peter Wegner argued that those paradigms are science, technology, and mathematics. Eden described them as the "rationalist paradigm" which treats computer science as a branch of mathematics, which is prevalent in theoretical computer science, and mainly employs deductive reasoningthe "technocratic paradigm" which might be found in engineering approaches, most prominently in software engineeringand my free cs "scientific paradigm" which approaches computer-related artifacts from the empirical perspective of natural sciencesidentifiable in some branches of artificial intelligence.

In addition to these four areas, CSAB also identifies fields such as software engineering, artificial intelligence, computer networking and communication, database systems, parallel my free cs, distributed computation, human—computer interaction, computer graphics, operating systems, and numerical and symbolic computation as being important areas of computer science. Its aim is to understand the nature of computation and, learn more here a consequence of this understanding, provide more efficient methodologies.

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Theory of computation[ edit ] Main article: Theory of computation According to Peter Denningthe fundamental question underlying computer science is, "What can be automated? In an effort to answer the first question, computability theory examines which computational problems are solvable on various theoretical models of computation.

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The second question is addressed by computational complexity theorywhich studies the time and space costs associated with different approaches to solving a multitude of computational problems.]

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