02. Time Complexity

This is the second short course – Time Complexity – of the Master Series on the Analysis of Algorithms. In this course, you will delve into the core concepts of time complexity, learning how to evaluate algorithm performance using various notations such as Big O, Big Omega, Little O, and Big Theta. Through the analysis of several practical examples, you’ll develop a deeper understanding of how to apply these notations in real-world scenarios to assess algorithm efficiency.