Graph Algorithms in C#: Pathfinding for Technical Interviews

Graphs are among the most common and challenging data structures encountered in technical interviews, yet many developers struggle with navigating them. This text-based course breaks down graph traversal, showing you exactly how to determine if a path exists between any two vertices. You will learn to write clean, efficient, and modern C# code to solve these fundamental connectivity problems with confidence. By reading this course, you will transition from understanding basic graph theory to writing optimized search implementations. You will build a strong mental model of how data flows through nodes and edges, allowing you to tackle complex algorithmic challenges systematically. What you'll learn: - Understand foundational graph terminology, representation methods, and basic connectivity concepts - Implement Breadth-First Search (BFS) in C# to find the shortest path in unweighted graphs - Master Depth-First Search (DFS) using both recursive and iterative approaches with modern collection types - Apply type safety and modern C# features to write clean, readable graph algorithms - Analyze time and space complexity to ensure your solutions meet performance requirements - Practice debugging and tracing pathfinding algorithms step-by-step through written execution flows This course begins with essential definitions of vertices, edges, adjacency lists, and matrices. From there, you will explore step-by-step written walkthroughs of BFS and DFS implementations, learning how to handle edge cases like cyclic graphs and disconnected components. This course is designed for beginner to intermediate developers who have a basic grasp of C# and want to master graph data structures for coding interviews. No advanced computer science background is required. Begin reading today to master graph traversal and ace your next technical interview.