Recursion is a type of programming technique that repeats code and is used to solve complex problems. It is often used to solve problems where the solution is often found by breaking down a bigger problem into smaller ones. It can be used on a wide variety of problems, from data analysis to sorting algorithms. Recursion is used to solve many problems in Coursera. For example, one problem that recursion can help solve is the Tower of Hanoi puzzle. This puzzle involves stacking disks of varying sizes on three pegs. To solve the puzzle, the disks must be arranged in order of size on a different peg. To do this, the elements must be moved one piece at a time while following a certain set of rules. Since the problem is complex and contains multiple elements, it can be solved using recursion. Recursion is also used in other areas of the Coursera courses. For example, it can be used to solve many sorting algorithms, including Bead Sort and Shell Sort. Recursion can also be used to solve complex algorithms, such as Knuth-Morris-Pratt string searching algorithm. In addition, recursion is often used to compute algorithms such as QuickSort, Binary Search Tree, and Selection Sort. Overall, recursion is a powerful programming technique used to solve complicated problems. By breaking down bigger problems into smaller ones, students can find solutions more quickly and efficiently. This makes recursion an important tool for students studying for their Coursera classes.