Loading course details…
Loading course details…
Baylor University · 3 credits · UGRD

This course introduces the core principles and methods of artificial intelligence, including maximum likelihood estimation, numerical optimization, artificial neural networks, convolutional neural networks, deep reinforcement learning, graphical models, transformers, and large language models. Students will learn both the theoretical foundations and practical techniques for designing, implementing, and evaluating intelligent systems in real-world settings.
Fall 2026 · 1 section
Aug 24 – Dec 9
| Section | Days & time | Location | Instructor |
|---|---|---|---|
| 01Class #54404 | Mo We Fr · 1:25 – 2:15 PM | CASHN C202 | Chen Zhao |