Big O Notation in Practice
Learn how Big O affects real applications
Module 1
Foundations
Essential concepts for understanding data structures
2 lessons
Memory & Performance
Understanding memory allocation and cache performance
Module 2
Linear Structures
Arrays, lists, stacks, and queues in action
4 lessons
Arrays & Dynamic Arrays
Shopping carts, dynamic resizing, and performance
Linked Lists in Action
Music playlists, undo systems, and memory efficiency
Stacks & Call Stacks
Browser history, expression evaluation, function calls
Queues & Task Processing
Job queues, breadth-first search, scheduling
Module 3
Tree Structures
Hierarchical data and tree algorithms
3 lessons
Binary Trees & File Systems
File navigation, decision trees, parsing
BST & Database Indexing
Search optimization, database indexes, auto-complete
Heaps & Priority Systems
Task scheduling, priority queues, heap sort
Module 4
Hash Structures
Hash tables, maps, and advanced hashing
2 lessons
Hash Tables & Caching
Caching systems, database optimization, symbol tables
Bloom Filters & Web Crawling
Duplicate detection, space-efficient filtering
Module 5
Graph Structures
Networks, paths, and graph algorithms
3 lessons
Graph Basics & Social Networks
Social connections, network analysis, representations
Path Finding & Navigation
GPS routing, shortest paths, A* algorithm
Network Flow & Resource Allocation
Max flow, resource optimization, matching problems