Graph Algorithms in C#: Finding the Shortest Path Using BFS

Understanding how to navigate network structures is a fundamental skill in software development, whether you are building social networks, mapping routing protocols, or designing game AI. This course introduces you to graph theory basics and guides you through solving the classic shortest path problem. You will transition from understanding basic graph concepts to writing a clean, efficient Breadth-First Search (BFS) algorithm in C#. You will learn how to represent graphs in code, track distances between nodes, and reconstruct the exact shortest path step-by-step using modern C# programming standards. What you will learn: Learn foundational graph terminology including vertices, edges, adjacency lists, and pathfinding principles; Implement a Breadth-First Search (BFS) algorithm from scratch using clean, modern C# syntax; Track distances and map parent nodes to determine the shortest route between any two vertices; Reconstruct and output the exact shortest path step-by-step through practical coding logic; Apply best practices for managing queues and memory efficiently during graph traversal; Analyze the time and space complexity of BFS to write optimized code. The course begins with essential graph definitions and representations before moving into the step-by-step construction of the BFS algorithm. You will work through structured written explanations and complete code implementations to solidify your understanding. This course is designed for beginner to intermediate programmers who want to master fundamental data structures and algorithms using C#. No prior experience with graph theory is required. Start reading today to add powerful pathfinding algorithms to your software engineering toolkit.