DSA and coding
“Learn About DFS and BFS from basics to be able to solve leetcode easy/medium problems”
Graph Representation and Breadth-First Search (BFS) Basics
By the end of this module you will be able to understand graph data structures, represent them using adjacency lists, and implement the Breadth-First Search algorithm.
Applying BFS to Solve Problems
By the end of this module you will be able to identify problems solvable with BFS and apply the algorithm to find shortest paths in unweighted graphs, solve grid-based problems, and understand its use in level-order tree traversal.
Depth-First Search (DFS) Algorithm and Implementation
By the end of this module you will be able to understand the Depth-First Search algorithm, implement it recursively and iteratively, and analyze its time and space complexity.
Advanced DFS Applications and Problem Solving
By the end of this module you will be able to apply DFS to solve problems involving connected components, cycle detection, and pathfinding in graphs and trees, specifically targeting LeetCode easy/medium difficulty.
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