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Algorithmic Thinking, Algorithm, Simple and Complex Problems and Computational Thinking | Ch 4 | Lec 1 | Oxford | Keyboard Computer Science With Application Software ?
Discussed with detailed what is Algorithmic , Algorithm , Complex and Simple Problems and What is Computational Thinking
what is Algorithm
An algorithm is a step-by-step set of instructions or rules used to perform a specific task or solve a problem. It is a well-defined procedure that takes an input and produces an output through a finite sequence of well-defined computational steps. Algorithms are commonly used in computer science, mathematics, and various other fields to automate processes and make decisions.
What is simple and complex problems ?
Simple problems refer to those that can be easily solved or understood with straightforward algorithms or methods. These problems usually have clear and well-defined solutions that can be achieved in a relatively short amount of time and with minimal computational effort.

On the other hand, complex problems are those that are difficult to solve due to their intricacy, size, or ambiguity. These problems often require more sophisticated algorithms, extensive computation, or even heuristic approaches to find a solution. They may involve multiple variables, dependencies, or unknown factors, making them challenging to tackle using straightforward methods.
What is Computational Thinking?
Computational thinking is a problem-solving approach that involves breaking down complex problems into smaller, manageable steps and expressing those steps as a series of instructions or algorithms that a computer can follow. It emphasizes logical reasoning, abstraction, pattern recognition, and algorithmic thinking to solve problems efficiently and effectively, not only in computer science but also in various fields and everyday life.
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