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Subject offerings of new and developing areas of knowledge in nuclear, plasma, and radiological engineering intended to augment the existing curriculum. See Class Schedule or departmental course information for topics and prerequisites. Course Information: May be repeated in the same or separate terms if topics vary.

The course introduces students to the conceptual foundations and practical uses of transformer-based language models, their structure, capabilities, and limitations. Students will learn to interact with both local open-weight models and remote API-based systems. Through a sequence of hands-on projects, students design and build custom AI tools and applications such as personal interactive chatbot and recommendation system, Q&A document assistants ("talk to my documents"), LLM-based debate agents, and personal tutoring or research agents. Emphasis is placed on experimentation, system design, validation, and responsible use of LLMs. The course is for students with basic programming experience. Prerequisite: CS 101, CS 105, CS 107, CS 124.