Rod Cutting and Change-Making Problem

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Explores dynamic programming with Bellman-Ford, Dijkstra, greedy strategies, and activity scheduling problems.

Covers the Compiler Extension Lab, focusing on adding new functionality to a simple functional language compiler.

Demonstrates dynamic programming to find the number of ways to make change using different coin denominations.

Covers dynamic programming with a focus on Fibonacci numbers and the rod cutting problem.

Explores designing algorithms with recursion and dynamic programming, covering concepts like the Towers of Hanoi and efficient solutions.

Explores the concept of divide and conquer in recursive algorithms, exemplified by the Towers of Hanoi.

Explores the concepts of greedy strategy and dynamic programming in building optimal solutions for various problems.

Explores the project structure for solving WS1S formulas and planned additions.

Explores problem-solving strategies like recursion and divide and conquer methods, with examples such as the Towers of Hanoi.

Covers types of errors in programming and emphasizes the importance of debugging and optimization techniques.