Course Description:
This course provides a deep understanding of algorithmic design principles, efficiency analysis, and problem-solving techniques. It covers fundamental algorithms, including sorting, searching, graph algorithms, and dynamic programming. Students will learn how to evaluate algorithm complexity using Big-O notation and explore various algorithmic paradigms,  including divide-and-conquer, greedy methods, and backtracking. By the end of the course, learners will be able to analyze problems critically and design optimized solutions for real-world applications.