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Updated in [July 17th, 2023]
By taking this course, learners can gain a comprehensive understanding of dynamic programming, including the two popular techniques of memoization and tabulation, as well as the ability to solve dynamic programming problems in Java, JavaScript, and Python. Learners will also gain valuable experience in coding exercises and quizzes that will help them to further their understanding of the topics presented. With this course, learners can gain the knowledge and skills necessary to become proficient in dynamic programming and be able to apply it to their own projects.
Course Syllabus
Introduction
Basics Of Dynamic Programming
Minimum Number Of Bills to Return an Amount
Number Of Ways to Return an Amount
Knapsack With Repetition
Knapsack Without Repetition
Number Of Subsets that Add Up to A Specific Number
Longest Common Subsequence
Longest Increasing Subsequence
Final Message