CPSC 443Foundations of AI

Catalog

This course provides an introduction to the mathematical and computational foundations essential for graduate-level study in Artificial Intelligence (AI). Topics include linear algebra, probability and statistics, calculus, optimization, programming skills in Python for data manipulation, algorithm implementation, and model development. Students will also explore core AI concepts such as supervised and unsupervised learning, neural networks, and gain an overview of AI-related fields including machine learning, data sciences, deep learning, reinforcement learning, adversarial machine learning, natural language processing, and the fundamentals of how large language models work. Hands-on programming assignments and theoretical problem sets will be assigned throughout the course.