Which concept involves the synthesis of a series of steps to solve problems?

The concept that involves synthesizing a series of steps to solve problems is algorithmic thinking. This approach is fundamental in computer science as it requires breaking down a problem into smaller, manageable parts and developing a clear step-by-step procedure to solve it. Algorithmic thinking enables individuals to outline an algorithm — a precise set of instructions — to complete tasks or solve complex challenges efficiently.

Decomposition, while related, refers specifically to breaking a problem down into smaller sub-problems rather than synthesizing a series of steps. Dynamic programming focuses on optimizing algorithms that solve problems by storing and re-using previously computed results but does not inherently involve step synthesis as its core aim. Iterative development is a methodology in software development that emphasizes building software through repetitions (iterations) but is not primarily concerned with the synthesis of steps in problem-solving.

Overall, algorithmic thinking is essential for developing effective algorithms, which are crucial for programming and problem-solving across various contexts.