Dave Churchill Courses

Introduction to Game Theory in Artificial Intelligence - Lecture 8

Explore game theory fundamentals through practical examples like Prisoner's Dilemma, strategy domination, and Nash equilibrium, with applications in decision-making and problem-solving scenarios.

• YouTube
• 1 hour 9 minutes
• Self-Paced
• Free Video

Introduction to Artificial Intelligence - Deep Neural Networks - Lecture 21

Dive into the fundamentals of deep neural networks, exploring key concepts and algorithmic techniques used in modern AI problem-solving environments.

• YouTube
• 55 minutes
• Self-Paced
• Free Video

Introduction to Artificial Intelligence - Introduction to Neural Networks - Lecture 20

Explore the fundamentals of neural networks, from biological neurons to perceptrons, network structures, training methods, and practical applications in AI, with interactive demos and game AI examples.

• YouTube
• 1 hour 8 minutes
• Self-Paced
• Free Video

Introduction to Artificial Intelligence - Lecture 15 - Introduction to Reinforcement Learning

Dive into reinforcement learning fundamentals, exploring key concepts and algorithmic techniques used in modern AI problem-solving environments for games and decision-making systems.

• YouTube
• 1 hour 6 minutes
• Self-Paced
• Free Video

Introduction to Artificial Intelligence - Lecture 18 - Monte Carlo Methods

Explore Monte Carlo methods in artificial intelligence, learning algorithmic techniques for modern problem-solving and game applications.

• YouTube
• 1 hour 2 minutes
• Self-Paced
• Free Video

Introduction to Artificial Intelligence - Lecture 17 - MDP / Dynamic Programming

Explore Markov Decision Processes and Dynamic Programming techniques for AI problem-solving, with applications to game environments.

• YouTube
• 52 minutes
• Self-Paced
• Free Video

Intro to Artificial Intelligence - Evolutionary Computing - Lecture 13

Explore evolutionary computing principles and techniques in artificial intelligence, including algorithmic approaches for solving complex problems through simulated evolution.

• YouTube
• 1 hour 13 minutes
• Self-Paced
• Free Video

Introduction to Artificial Intelligence: Minimax Search Enhancements - Lecture 10

Explore advanced minimax search techniques and enhancements for AI game algorithms, focusing on practical implementations and optimization strategies in modern problem-solving.

• YouTube
• 1 hour 20 minutes
• Self-Paced
• Free Video

Introduction to Artificial Intelligence: MiniMax and AlphaBeta Search - Lecture 9

Dive into advanced game theory algorithms with MiniMax and Alpha-Beta pruning techniques for developing efficient AI decision-making strategies in adversarial environments.

• YouTube
• 1 hour 13 minutes
• Self-Paced
• Free Video

Introduction to Artificial Intelligence: Assignment 3 and Game AI Implementation - Lecture 11

Dive into game AI development through practical implementation of Alpha-Beta pruning, Zobrist hashing, and evaluation functions for creating intelligent game-playing agents.

• YouTube
• 1 hour 10 minutes
• Self-Paced
• Free Video

Introduction to Artificial Intelligence: Hash Functions and Hash Tables - Lecture 6

Master hash functions and tables through comprehensive coverage of fundamental concepts, properties, collision handling, and practical implementations in AI problem-solving environments.

• YouTube
• 1 hour 16 minutes
• Self-Paced
• Free Video

Introduction to Artificial Intelligence: States, Actions, and Search Optimizations - Lecture 7

Explore AI problem-solving techniques through practical game-based assignments, covering heuristic functions, state spaces, optimization strategies, and bidirectional search implementation.

• YouTube
• 1 hour 15 minutes
• Self-Paced
• Free Video

Game Programming: Particle Systems and Entity Component Systems - Lecture 22

Master particle system implementation in game development through ECS architecture, vertex arrays, and practical coding demonstrations for efficient rendering and system design.

• YouTube
• 1 hour 5 minutes
• Self-Paced
• Free Video

Game Programming: Visual Code Profiling and Performance Analysis - Lecture 21

Master code profiling techniques and performance optimization in game development, from Singleton patterns to visual profiling tools and practical implementations using C++ timers and macros.

• YouTube
• 1 hour 27 minutes
• Self-Paced
• Free Video

Game Programming: Textures, Animations, and A3 Architecture - Lecture 9

Explore textures, animations, and A3 architecture upgrades in game programming. Learn SFML textures, sprite transformations, and texture-based animations for enhanced game development skills.

• YouTube
• 1 hour 4 minutes
• Self-Paced
• Free Video