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This course introduces algorithm analysis, compares measures of algorithm quality, and explains asymptotic analysis and Big O notation. It uses practical examples and coding to show how to calculate time complexity.
Syllabus
Introduction
What is Algorithm Analysis
What is Better Algorithm
Asymptotic Analysis
Practical Example
Algorithm Analysis
Coding
Big O Notation
Taught by
Simple Snippets
Reviews
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I recently completed the course “What Is Big O Notation and Time Complexity of Algorithms - Algorithm Analysis in Data Structures” and found it very useful for understanding the fundamentals of algorithm efficiency. The instructor explains Big O not…