CSCI325

This course is an introduction to AI via various techniques and theory including, but not limited to, state space search strategies; deterministic and nondeterministic finite automata and Turing machines; neural networks and deep learning; natural language processing (NLP); computer vision; reinforcement learning; and large language models (LLMs). Prerequisite: Computer Science 212.