Learn about time complexity in algorithms through this comprehensive 1-hour 12-minute lecture. Explore various aspects of algorithmic efficiency, including problem types, input sizes, measuring running time, and worst-case scenarios. Delve into intrinsic complexity, palindrome algorithms, and multiplication techniques. Examine the concept of polynomial time and its implications for efficiency. Gain insights into common progress paradigms for problem-solving and enhance your understanding of algorithmic analysis.