In this module, you will be introduced to the foundational concept of algorithms, including their characteristics and how they are integral to solving computational problems. You’ll explore the basics of algorithmic complexity and efficiency, providing a strong foundation for the advanced topics in subsequent modules.

In this module, you will explore the powerful and elegant Gale-Shapley algorithm, originally developed to solve the stable marriage problem. This algorithm, widely used in real-world applications such as college admissions and job matching, ensures that individuals are paired in a way that avoids instability—where two participants could form a better match with someone else. By understanding the principles behind stable matching and the mechanics of this algorithm, you'll gain insight into one of the most influential solutions in game theory, optimization, and computer science.

In this module, you'll begin by summarizing key concepts like computational tractability, asymptotic growth, and the notations used to evaluate algorithm efficiency. You'll then dive into time complexity, learning how to optimize algorithms for different scenarios and classify them into appropriate complexity classes. By the end, you'll be able to apply these analysis techniques to real-world problems, optimizing solutions while considering the implications and limitations of algorithm analysis.