Early studies in algorithms focus on rearranging and finding data: Moving from Linear Search ( ) to Binary Search ( ), which requires sorted data.

Arrays are collections of elements stored in contiguous memory locations. Fast access via index ( Cons: Fixed size; insertions and deletions are costly ( ) as elements must be shifted. 3.2 Dynamic Structures: Linked Lists

These are "Last-In, First-Out" (LIFO) and "First-In, First-Out" (FIFO) structures, respectively.

Used in recursion management and "Undo" functions (Push/Pop operations).

Used in printer buffers and CPU task scheduling (Enqueue/Dequeue operations). 5. Basic Algorithmic Logic: Searching and Sorting

At the heart of computer science lies the relationship between data and the logic used to process it. An is a finite, well-defined sequence of steps to solve a problem, while a data structure is a specialized format for organizing, processing, retrieving, and storing data. The synergy between the two determines the performance and scalability of any software system. 2. Complexity Analysis (Big O Notation)

Part 1 of this study focuses on structures where elements are arranged sequentially: 3.1 Static Structures: Arrays