This lecture introduces dynamic programming as a method to solve the coin change problem efficiently. It contrasts the limitations of the greedy algorithm with the systematic exploration of all possible paths provided by dynamic programming. The instructor explains the recursive nature of dynamic programming and demonstrates its application in solving the coin change problem step by step, emphasizing the importance of exploring different paths to find the optimal solution.