1st Year Computer Science - Chapter 3: Problem Solving and Algorithms
In this video, we explore Dynamic Programming (DP) from 11th Class Computer Chapter 3— a powerful technique used to solve complex problems by breaking them into smaller sub-problems and storing their solutions to avoid repeated work.
✅ What you’ll learn:
What Dynamic Programming is and why it’s used
The difference between recursion, greedy algorithms, and dynamic programming
Key concepts: overlapping subproblems and optimal substructure
Examples of DP problems (like Fibonacci series, knapsack problem)
How dynamic programming improves performance
Introduction to memoization and tabulation
This lesson is part of Chapter 3: Problem Solving and Algorithms for 1st Year Computer Science students and provides step-by-step explanations with simple examples to help you understand this advanced technique easily.
💡 Learn how to solve problems faster and smarter using Dynamic Programming! #newsyllabus2025 #1styearcomputerscience #computerscienceclass11 #computerscience #fsccomputerscience #ics #education #DynamicAlgorithm
