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The history of computational thinking as a concept dates back at least to the 1950s but most ideas are much older. [6] [3] Computational thinking involves ideas like abstraction, data representation, and logically organizing data, which are also prevalent in other kinds of thinking, such as scientific thinking, engineering thinking, systems thinking, design thinking, model-based thinking, and ...
A finite-state automaton from automata theory, a branch of theoretical computer science. Theoretical computer science is a subfield of computer science and mathematics that focuses on the abstract and mathematical foundations of computation. It is difficult to circumscribe the theoretical areas precisely.
Computer science is the study of computation, information, and automation. [1] [2] [3] Computer science spans theoretical disciplines (such as algorithms, theory of computation, and information theory) to applied disciplines (including the design and implementation of hardware and software). [4] [5] [6]
The goals of the project are to build a community of interest around computer science, and to provide a focal point for coordinating efforts to improve Wikipedia's computer science articles. The scope of the project includes all articles in the area of computer science , including computer programming and software engineering .
The BBC Computer Literacy Project 2012 was an initiative to develop students' marketable information technology and computer science skills. Computer programming skills were introduced into the National Curriculum in 2014. [19] [20] It was reported in 2017 that roughly 11.5 million United Kingdom citizens did not have basic computer literacy ...
The philosophy of computer science is concerned with the philosophical questions that arise within the study of computer science.There is still no common understanding of the content, aims, focus, or topics of the philosophy of computer science, [1] despite some attempts to develop a philosophy of computer science like the philosophy of physics or the philosophy of mathematics.
Programming involves activities such as analysis, developing understanding, generating algorithms, verification of requirements of algorithms including their correctness and resources consumption, and implementation (commonly referred to as coding [1] [2]) of algorithms in a target programming language.
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