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  2. CS50 - Wikipedia

    en.wikipedia.org/wiki/CS50

    CS50 (Computer Science 50) [a] is an introductory course on computer science taught at Harvard University by David J. Malan. The on-campus version of the course is Harvard's largest class with 800 students, 102 staff, and up to 2,200 participants in their regular hackathons .

  3. CodeHS - Wikipedia

    en.wikipedia.org/wiki/CodeHS

    CodeHS was founded in 2012 by Jeremy Keeshin and Zach Galant, both Stanford University Computer Science graduates. Keeshin and Galant based CodeHS on their experience as section leaders and teaching assistants for several of Stanford's introductory computer science courses. [3]

  4. Computer programming - Wikipedia

    en.wikipedia.org/wiki/Computer_programming

    Computer programming or coding is the composition of sequences of instructions, called programs, that computers can follow to perform tasks. [ 1 ] [ 2 ] It involves designing and implementing algorithms , step-by-step specifications of procedures, by writing code in one or more programming languages .

  5. It teaches fundamental principles of computer programming, including recursion, abstraction, modularity, and programming language design and implementation. MIT Press published the first edition in 1984, and the second edition in 1996. It was formerly used as the textbook for MIT's introductory course in computer science.

  6. Computer science - Wikipedia

    en.wikipedia.org/wiki/Computer_science

    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]

  7. Outline of computer programming - Wikipedia

    en.wikipedia.org/.../Outline_of_computer_programming

    Computer programming – process that leads from an original formulation of a computing problem to executable computer programs. Programming involves activities such as analysis, developing understanding, generating algorithms, verification of requirements of algorithms including their correctness and resources consumption, and implementation ...

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