Computational thinking is the process of approaching a problem in a systematic manner and creating and expressing a solution such that it can be carried out by a computer. Many quantitative and data-centric problems can be solved using computational thinking and an understanding of computational thinking will give a foundation for solving problems that have real-world, social impact. The four cornerstones of computational thinking are decomposition, pattern recognition, abstraction, and algorithms. Decomposition is the break down of complex problems into smaller, simpler problems. Pattern recognition makes connections between similar problems and experience. Abstraction is the identification of important information while ignoring unrelated or irrelevant details. Lastly, algorithms is the design of simple steps to solve problems. The presentation will equip you with more details.

Gokul JL

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