Time Complexity — Design & Analysis of Algorithms - Lecture 4

📘 In this Lecture 4 of Design and Analysis of Algorithms, we introduce the basic idea of time complexity—an essential concept for analyzing algorithm efficiency.

Whether you're preparing for exams, interviews, or just strengthening your computer science fundamentals, this tutorial covers what time complexity means, why it's important, and how to think about Big O notation with simple, relatable examples.

💡 Stay tuned for real-life analogies, tips for spotting common time complexities, and tricks to avoid performance traps in coding.

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⚠️ **Disclaimer**: This video is for educational purposes only.