Artificial Intelligence — Notes & Labs

Concise, practical notes for Artificial Intelligence (Fall 2025).
Built around Russell & Norvig’s Artificial Intelligence: A Modern Approach (4th ed) and class topics.
Includes runnable notebooks, diagrams, cheatsheets, and bite-size labs.

📚 Course Topics

• Introduction to AI & Environments
• Search (DFS, BFS, heuristics, A*, adversarial search, local search)
• Uncertainty & Bayesian Networks
• Machine Learning (Perceptron, Logistic Regression, Neural Networks)
• Generative AI
• Logic, Predicate Logic, Prolog
• Ethics of AI
• Project Presentations

🚀 Quickstart

conda env create -f env/environment.yml
conda activate ai-notes
jupyter lab