Swift Coding Interviews: Solve Coin Change with Dynamic Programming

Dynamic programming is one of the most intimidating topics in coding interviews, yet mastering it is key to unlocking top-tier software engineering roles. This course demystifies the core concepts of algorithms by focusing on a classic, real-world scenario: the Coin Change problem. You will transition from struggling with complex recursion to confidently writing optimized, iterative solutions in Swift. By breaking down the problem step-by-step, you will learn how to identify overlapping subproblems, store intermediate results, and write clean, modern Swift code that interviewers look for. What you'll learn: - Understand the foundational concepts of recursion, memoization, and dynamic programming. - Analyze the Coin Change problem to identify its recursive structure and base cases. - Implement top-down memoization strategies using Swift dictionaries and arrays. - Build bottom-up iterative solutions to optimize time and space complexity. - Apply modern Swift features, such as type safety and expressive collection methods, to write elegant algorithmic code. - Test your solutions systematically using standard Swift testing approaches to ensure correctness. The course begins with essential algorithmic definitions and basic recursive structures before moving on to optimization techniques. You will progress from naive recursive approaches to highly efficient bottom-up dynamic programming solutions, studying detailed written code explanations along the way. This course is designed for beginner to intermediate Swift developers preparing for technical interviews, with no advanced computer science background required. Start reading today to master dynamic programming and elevate your coding interview preparation.