Graph Search Fundamentals: Breadth-First Search

Graph traversal is a fundamental concept in computer science, powering everything from social network connections to routing protocols. Through this written course, you will build a clear mental model of how the Breadth-First Search (BFS) algorithm explores data level by level, enabling you to solve pathfinding problems efficiently. What you will learn: • Understand foundational graph concepts like vertices, edges, and adjacency lists. • Implement the FIFO queue data structure required for BFS. • Track distances and predecessors to find the shortest path in unweighted graphs. • Write clean, type-hinted code to execute BFS on custom structures. • Analyze time and space complexity using Big O notation. • Apply traversal logic to real-world scenarios like network routing. The course starts with key definitions and basic queue mechanics before moving into step-by-step written tracing of the algorithm and practical coding exercises. This course is perfect for beginner programmers and computer science students. No prior graph theory experience is required. Start reading today to master the foundations of graph traversal.