Solving Game Problems in Coding Interviews

Game-related questions like Tic-Tac-Toe, Minesweeper, and the Game of Life are incredibly common in technical interviews, yet many candidates struggle to structure their code cleanly under time pressure. This text-based course guides you through the foundational concepts of game state modeling, grid manipulation, and algorithmic decision-making, helping you write structured, readable, and performant code. What you'll learn: * Understand foundational game state representations using matrices, graphs, and custom data structures * Implement coordinate-based traversal and boundary-checking techniques safely * Apply search algorithms like Breadth-First Search (BFS) and Depth-First Search (DFS) to game boards * Design clean, modular game logic using modern object-oriented principles and type hints * Analyze the time and space complexity of your algorithmic solutions * Practice step-by-step problem-solving patterns for popular grid-based interview challenges We begin with essential terminology and fundamental grid traversal techniques before walking through specific, high-frequency interview problems. Each concept is reinforced with clear written explanations, structured code snippets, and conceptual exercises. This course is ideal for software engineering candidates preparing for technical interviews who want to build confidence in matrix manipulation and algorithmic game logic. No prior game development experience is required. Equip yourself with the structured strategies needed to solve game problems with confidence.