Module Artifacts
A structured outline of the module's core topics — including the definition of recursion, base and recursive cases, call stack mechanics, and classic implementations like factorial and Fibonacci — that serves as a navigational guide for learners and instructors to understand the scope and sequence of the module's content.
Introduces recursion as a programming technique in which a function calls itself to break a problem into smaller instances of the same problem, and serves as a conceptual reading for learners beginning the module.
Explains the two essential components of any recursive function — the base case (stopping condition) and the recursive case (self-referential step) — and is used by learners to understand how to structure correct, non-infinite recursive solutions.
Describes how the call stack manages function execution, local data, and return addresses during recursive calls, helping learners understand the runtime mechanics and memory implications of recursion.
Walks through implementing the factorial function recursively, using its naturally self-referential mathematical definition to illustrate how to translate a recursive formula directly into working code.
Covers the recursive implementation of the Fibonacci sequence, demonstrating how a function can make two recursive calls and highlighting the resulting redundant computation as an entry point for discussing efficiency trade-offs.
Demonstrates how to traverse a JavaScript array recursively by splitting it into a head element and a remaining subarray, providing learners with a practical pattern for applying recursion to list-processing problems.
Examines the trade-offs between recursion and iterative loops, guiding learners and instructors in identifying problem types — such as tree traversal and divide-and-conquer — where recursion is most appropriate versus where iteration is preferred.
Examines the trade-offs between recursion and iterative loops, guiding learners and instructors in identifying problem types — such as tree traversal and divide-and-conquer — where recursion is most appropriate versus where iteration is preferred.