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  2. Rubber duck debugging - Wikipedia

    en.wikipedia.org/wiki/Rubber_duck_debugging

    In software engineering, rubber duck debugging (or rubberducking) is a method of debugging code by articulating a problem in spoken or written natural language. The name is a reference to a story in the book The Pragmatic Programmer in which a programmer would carry around a rubber duck and debug their code by forcing themselves to explain it ...

  3. CS50 - Wikipedia

    en.wikipedia.org/wiki/CS50

    CS32 (Computational Thinking and Problem Solving), taught by Michael D. Smith, [29] is an alternative to CS50 but does not have a free online version. [30] The next course in sequence after CS32 or CS50 is CS51: Abstraction and Design in Computation, instructed by Stuart M. Shieber with Brian Yu as co-instructor. [31]

  4. David J. Malan - Wikipedia

    en.wikipedia.org/wiki/David_J._Malan

    David Jay Malan (/ m eɪ l ɛ n /) is an American computer scientist and professor. Malan is a Gordon McKay Professor of Computer Science at Harvard University, and is best known for teaching the course CS50, [2] [3] which is the largest open-learning course at Harvard University and Yale University and the largest massive open online course at EdX, with lectures being viewed by over a million ...

  5. SAT solver - Wikipedia

    en.wikipedia.org/wiki/SAT_solver

    In computer science and formal methods, a SAT solver is a computer program which aims to solve the Boolean satisfiability problem.On input a formula over Boolean variables, such as "(x or y) and (x or not y)", a SAT solver outputs whether the formula is satisfiable, meaning that there are possible values of x and y which make the formula true, or unsatisfiable, meaning that there are no such ...

  6. Computational thinking - Wikipedia

    en.wikipedia.org/wiki/Computational_thinking

    Computational thinking (CT) refers to the thought processes involved in formulating problems so their solutions can be represented as computational steps and algorithms. [1] In education, CT is a set of problem-solving methods that involve expressing problems and their solutions in ways that a computer could also execute. [ 2 ]

  7. Problem solving environment - Wikipedia

    en.wikipedia.org/wiki/Problem_solving_environment

    The Problem Solving Environment for Parallel Scientific Computation was introduced in 1960, where this was the first Organised Collections with minor standardisation. [2] In 1970, PSE was initially researched for providing high-class programming language rather than Fortran, [ citation needed ] also Libraries Plotting Packages advent.

  8. Problem set - Wikipedia

    en.wikipedia.org/wiki/Problem_set

    A problem set, sometimes shortened as pset, [1] is a teaching tool used by many universities.Most courses in physics, math, engineering, chemistry, and computer science will give problem sets on a regular basis. [2]

  9. Competitive programming - Wikipedia

    en.wikipedia.org/wiki/Competitive_programming

    Problems related to constraint programming and artificial intelligence are also popular in certain competitions. Irrespective of the problem category, the process of solving a problem can be divided into two broad steps: constructing an efficient algorithm , and implementing the algorithm in a suitable programming language (the set of ...