# Big O Notation - Full Course

This course will teach you how to understand and apply the concepts of Big O Notation to Software Engineering. Big-O notation is a way to describe how long an algorithm takes to run or how much memory is used by an algorithm.

This course will teach you how to understand and apply the concepts of Big O Notation to Software Engineering. Big-O notation is a way to describe how long an algorithm takes to run or how much memory is used by an algorithm.

⭐️ Course Contents ⭐️
⌨️ (0:00:00) Intro
⌨️ (0:00:39) What Is Big O?
⌨️ (0:07:08) O(n^2) Explanation
⌨️ (0:14:06) O(n^3) Explanation
⌨️ (0:26:29) O(log n) Explanation Recursive
⌨️ (0:31:12) O(log n) Explanation Iterative
⌨️ (0:36:08) O(log n) What Is Binary Search?
⌨️ (0:41:30) O(log n) Coding Binary Search
⌨️ (0:58:12) O(n log n) Explanation
⌨️ (1:02:50) O(n log n) Coding Merge Sort
⌨️ (1:17:04) O(n log n) Merge Sort Complexity Deep Dive
⌨️ (1:28:06) O(2^n) Explanation With Fibonacci
⌨️ (1:36:02) O(n!) Explanation
⌨️ (1:47:19) Space Complexity & Common Mistakes
⌨️ (1:55:53) End