Dynamic Programming - Learn to Solve Algorithmic Problems & Coding Challenges

Master dynamic programming techniques to solve complex algorithmic problems and coding challenges in this comprehensive 5-hour course. Designed for beginners, the course uses JavaScript to teach concepts applicable across programming languages. Explore memoization and tabulation strategies through visualizations and animations, tackling problems like Fibonacci sequences, grid traversal, sum calculations, and string construction. Learn to optimize solutions for technical interviews and improve your problem-solving skills. Progress through carefully structured lessons, including practical recipes for both memoization and tabulation approaches. By the end, you'll be equipped to apply dynamic programming to a wide range of algorithmic challenges, enhancing your coding abilities and interview readiness.

Syllabus

) course introduction.
) fib memoization.
) gridTraveler memoization.
) memoization recipe.
) canSum memoization.
) howSum memoization.
) bestSum memoization.
) canConstruct memoization.
) countConstruct memoization.
) allConstruct memoization.
) fib tabulation.
) gridTraveler tabulation.
) tabulation recipe.
) canSum tabulation.
) howSum tabulation.
) bestSum tabulation.
) canConstruct tabulation.
) countConstruct tabulation.
) allConstruct tabulation.
) closing thoughts.