Module Artifacts — 8 items
A structured outline of the module's topics covering array fundamentals, insertion and deletion operations, and searching algorithms, used by learners and instructors to navigate and sequence the learning content.
Introduces Big O notation and explains how to evaluate the time and space efficiency of algorithms as input size grows, serving as a conceptual reference learners read before or alongside coding exercises to understand why efficiency matters.
Explains what lists and arrays are, how they store and organize multiple data items, and how they differ, giving learners a foundational reference to read before studying specific array operations and algorithms.
Covers how inserting a new value into an array works at different positions (beginning, middle, and end), explains the shifting cost that re-indexing requires, and serves as a reading resource for learners analyzing the performance trade-offs of insertion.
Explains how deleting elements from an array at various positions triggers internal re-indexing in JavaScript, describes the performance implications of different deletion scenarios, and is read by learners to understand the hidden cost of removal operations.
Introduces linear and binary search algorithms, explains how each scans a data structure to locate a target value, and is used by learners to compare the conditions, steps, and efficiency of each searching approach.
Explains systematic techniques for visiting every element in an array or list in a defined order, covering common loop-based and iterator-based traversal patterns that learners apply before implementing sorting, searching, or transformation operations.
Introduces Big O notation and explains how to evaluate the time and space efficiency of algorithms as input size grows, serving as a conceptual reference learners read before or alongside coding exercises to understand why efficiency matters.