Computational thinking is a fundamental skill applicable beyond computer science. IIt is useful for everyday decision-making as well as for disciplines like mathematics, physics, and engineering. By promoting structured problem-solving, logical reasoning, and adaptability, computational thinking equips individuals to address complex challenges in our increasingly technology-driven world.

Key components of computational thinking include:

Decomposition: It involves breaking a problem into smaller subproblems or components, making it more manageable.

Pattern Recognition: Identifying recurring patterns, trends, or regularities within data or problems to facilitate understanding.

Abstraction: Removing unnecessary details while retaining essential information to create simplified models of problems.

Algorithmic Thinking: Developing step-by-step procedures (algorithms) to solve problems or perform tasks efficiently.