Introduction To Problem Solving In Computer Science - Datukun, Kalamba;Igbinosa, Godwin
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Solving problems is the core of computer science. Programmers must first understand how a human solves a problem, then understand how to translate this "algorithm" into something a computer can do, and finally how to "write" the specific syntax (required by a computer) to get the job done. It is sometimes the case that a machine will solve a problem in a completely different way than a human. An algorithm is a step-by-step procedure that will always produce a correct solution. A mathematical formula is a good example of a problem-solving algorithm. While an algorithm guarantees an accurate…mehr

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Produktbeschreibung
Solving problems is the core of computer science. Programmers must first understand how a human solves a problem, then understand how to translate this "algorithm" into something a computer can do, and finally how to "write" the specific syntax (required by a computer) to get the job done. It is sometimes the case that a machine will solve a problem in a completely different way than a human. An algorithm is a step-by-step procedure that will always produce a correct solution. A mathematical formula is a good example of a problem-solving algorithm. While an algorithm guarantees an accurate answer, it is not always the best approach to problem-solving. This strategy is not practical for many situations because it can be so time-consuming. For example, if you were trying to figure out all of the possible number combinations to a lock using an algorithm, it would take a very long time.
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Autorenporträt
DATUKUN, Kalamba Aristarkus, Ph.D. é o Diretor do Departamento de Informática da Universidade Estatal de Plateau Bokkos. É professor desde 2013 no departamento, tendo sido antes disso o responsável pelos exames durante cerca de quatro anos. Trabalhou também na Salem University Lokoja como Programador I de 2009 a 2013.