4. Does the course cover dynamic programming and recursion in depth?

  • Introduces recursive patterns, backtracking, and base/recursive case planning.
  • Includes classic DP problems like Knapsack, Coin Change, and LCS.
  • Hands-on exercises help learners visualize problem-solving approaches.
  • Teaches memoization, tabulation, and optimization techniques.
  • Prepares learners to confidently solve advanced algorithmic challenges.

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