Dynamic Programming Masterclass

This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Master dynamic programming (DP) with this masterclass, where you will learn to solve complex algorithmic problems using efficient DP techniques like recursion and memoization. Starting with the basics of DP, you’ll tackle problems such as the "Staircase Problem" and progress to more advanced challenges like the "Longest Increasing Subsequence" (LIS) and "Longest Common Subsequence" (LCS). You will also dive into practical applications like maximizing stock trading profits, finding unique paths in grids, and solving tree-related problems like the "House Robber in Binary Tree." With each problem, you’ll refine your problem-solving approach and enhance your algorithmic thinking. Ideal for programmers and algorithm enthusiasts, this course builds your ability to confidently solve DP problems for interviews, coding competitions, and real-world applications. Prior programming knowledge is recommended. By the end of the course, you will be able to solve complex dynamic programming problems efficiently and confidently apply DP techniques to a wide range of scenarios.