Problem Solving Strategies: General Overview

Covers recursion, dynamic programming, and algorithm design using divide and conquer strategies.

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

Introduces the CS-250 Algorithms course, covering its structure, objectives, and key topics in algorithmic problem-solving.

Explores binary search, merge sort, recursion in algorithms, Fibonacci numbers, and dynamic programming.

Explores dynamic programming through binomial coefficients calculation, emphasizing efficiency and memoization in problem-solving.