Dave Churchill Courses

EntityManager and 2D Game Math for Game Programming - Lecture 6

Explore EntityManager implementation, 2D game math concepts, and C++ programming techniques for game development. Learn about data separation, vector operations, and collision detection.

• YouTube
• 1 hour 12 minutes
• Self-Paced
• Free Video

Game Programming: SFML Circles, Polygons, and Collisions - Lecture 7

Explore game programming concepts, including SFML graphics, entity-component systems, and game architecture. Learn to implement player controls, enemies, scoring, and special abilities.

• YouTube
• 1 hour 17 minutes
• Self-Paced
• Free Video

Introduction to Entity Component System (ECS) in Game Programming - Lecture 5

Explore Entity Component System (ECS) architecture for game programming, covering design principles, implementation details, and practical coding examples using C++ and SFML.

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

SFML and ImGui Tutorial for Game Programming - Lecture 4

Explore SFML and ImGui for game programming, covering Makefiles, widgets, windows, events, drawing, sprites, and transformations. Learn practical skills for creating interactive graphics.

• YouTube
• 1 hour 14 minutes
• Self-Paced
• Free Video

Computer Science Graduate School Research and Programming Best Practices

Learn essential research and programming practices for computer science grad school, from version control to experiment organization and data visualization.

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

Game Programming: Assignment 1 and C++ Environment Setup - Lecture 3

Learn game programming fundamentals, including vector math, rendering, AI, and physics. Set up C++ environment and understand assignment structure for creating functional games using ECS architecture and SFML library.

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

Introduction to C++ Programming Language - Fundamentals and Game Development

Master C++ fundamentals, from basic syntax to advanced concepts like memory management, pointers, and object-oriented programming. Includes live coding sessions for practical application.

• YouTube
• 4 hours
• Self-Paced
• Free Video

Game Programming: Introduction to Course and Fundamentals - Lecture 1

Explore game programming fundamentals, including vector math, rendering, AI, physics, and UI. Learn to create functional games using ECS architecture, C++, and SFML graphics library.

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

Introduction to Deep Neural Networks - Lecture 21

Explore deep neural networks, their architecture, and applications in AI. Learn key concepts and techniques for implementing advanced machine learning models.

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

Introduction to Artificial Intelligence: Neural Networks - Lecture 20

Explore fundamental concepts of neural networks, their structure, and applications in AI problem-solving environments.

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

Intro to Artificial Intelligence - Temporal Difference Learning - Lecture 19

Explore temporal difference learning and its applications in AI, focusing on practical implementations and problem-solving techniques.

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

Intro to Artificial Intelligence - RL Monte Carlo Methods - Lecture 18

Explore Monte Carlo methods in reinforcement learning, applying algorithmic techniques to solve AI problems in gaming environments.

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

Intro to Artificial Intelligence - Markov Decision Process (MDP) - Lecture 17

Explore Markov Decision Processes (MDPs) in AI, learning algorithmic techniques for modern problem-solving in uncertain environments.

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

Introduction to Artificial Intelligence - Bandit Algorithms - Lecture 16

Explore bandit algorithms in AI, learning key techniques for optimizing decision-making in uncertain environments through practical applications and examples.

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

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

Explore reinforcement learning fundamentals, including key concepts and applications in AI problem-solving environments for modern algorithmic techniques.

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