Essential Game Algorithms for Beginners

Have you ever wondered how non-player characters find their way around obstacles, or how games detect when two objects collide in real time? Behind every engaging game lies a set of foundational algorithms that control movement, logic, and spatial awareness. This text-based course guides you through these essential concepts from scratch, translating complex mathematical theories into clear, readable logic.\n\nYou will transition from understanding basic coordinates to writing clean pseudocode for pathfinding, collision detection, and artificial intelligence. By focusing on the core logic rather than a specific commercial engine, you will build a versatile toolkit of problem-solving patterns that you can apply in any programming language or framework.\n\nWhat you'll learn:\n- Understand essential game math, including vectors, coordinate systems, and basic physics.\n- Implement pathfinding algorithms like A* and Dijkstra to guide characters through complex maps.\n- Apply collision detection techniques such as Axis-Aligned Bounding Boxes and circle sweeps.\n- Design game logic using Finite State Machines and behavior tree patterns.\n- Optimize performance using spatial partitioning techniques like grid hashing and quadtrees.\n- Practice translating algorithmic theory into clean, reusable game code.\n\nThe course begins with foundational terminology, breaking down how game loops manage state and frame rates. From there, you will explore spatial logic, path planning, and basic decision-making structures, building up to optimization strategies used in modern performance-critical systems.\n\nThis course is designed for beginner programmers, aspiring game developers, and computer science students who want to understand the mechanics under the hood of their favorite games. No advanced math or game engine experience is required to get started.\n\nStart learning the logic that brings virtual worlds to life today.