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Explore artificial intelligence fundamentals through this university lecture that covers midterm exam preparation and demonstrates Assignment 3 implementation in a game-based learning environment. Learn about AI algorithmic techniques and data structures as Professor David Churchill walks through practical applications including GameState.js architecture, random and greedy player implementations, and student assignment requirements. Discover how modern AI problem-solving methods are applied to simple games, with detailed explanations of code structure, testing procedures, and player strategy development that bridge theoretical concepts with hands-on programming experience in this graduate-level computer science course.
Syllabus
- Intro
- Midterm Exam Info
- Assignment 3 Demo
- Assignment 3 Tests
- GameState.js
- Players.js Random / Greedy
- Player_Student.js
Taught by
Dave Churchill