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Explore game programming concepts, including SFML graphics, entity-component systems, and game architecture. Learn to implement player controls, enemies, scoring, and special abilities.
Explore collision detection and resolution in game programming, focusing on bounding shapes, AABB techniques, and practical examples like Super Mario Bros.
Explore Nash Equilibrium and game theory concepts through analysis of number-choosing and investment games, with examples and applications in artificial intelligence.
Explore game textures and animations, mastering techniques for creating visually appealing and dynamic game elements using C++ and SFML.
Explore game theory fundamentals, strategic decision-making, and AI applications in competitive environments. Gain insights into rational agent behavior and equilibrium concepts.
Explore collision detection in game programming, focusing on AABB techniques. Learn to implement and resolve collisions for realistic gameplay mechanics.
Explore hash functions in AI, covering algorithmic techniques and data structures for modern problem-solving in simple games.
Explore game programming fundamentals, including vector math, rendering, AI, and ECS architecture. Learn to create functional games using C++ and SFML in this comprehensive lecture.
Explore search optimizations in AI, including techniques for efficient problem-solving and algorithm enhancement. Learn practical applications through game-related assignments.
Explore EntityManager implementation and essential 2D game math concepts for efficient game development and engine architecture.
Explore heuristic search techniques and the A* algorithm for efficient problem-solving in AI, with practical applications in game development.
Explore Entity Component System architecture for game development, enhancing performance and flexibility in C++ game programming.
Explore game theory fundamentals and its applications in AI, focusing on strategic decision-making and problem-solving techniques in competitive environments.
Explore hash functions and tables in AI, learning algorithmic techniques for efficient data storage and retrieval in modern problem-solving environments.
Explore game programming fundamentals, including vector math, rendering, AI, and physics. Learn to create functional games using ECS architecture, C++, and SFML.
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