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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).
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.
A problem in computer science is considered unsolved when no solution is known or when experts in the field disagree about proposed solutions. ... at 11:18 (UTC).
The set of NP-complete problems is often denoted by NP-C or NPC. Although a solution to an NP-complete problem can be verified "quickly", there is no known way to find a solution quickly. That is, the time required to solve the problem using any currently known algorithm increases rapidly as the size of the problem grows.
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 ...
The use of recursive data structures and dynamically allocated structures were fundamental to AP Computer Science AB. AP Computer Science AB was equivalent to a full-year college course. [9] Due to low numbers of students taking the exam, AP Computer Science AB was discontinued following the May 2009 exam administration. [10] [11]
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Finally, introduce a class named Object with members to control its visibility (using a VisibilityDelegate), movability (using an UpdateDelegate), and solidity (using a CollisionDelegate). This class has methods which delegate to its members, e.g. update() simply calls a method on the UpdateDelegate: