This course examines the integration of contemporary generative-AI techniques into systems engineering practice, emphasizing applications in aerospace, defense, and transportation. Students analyze the theoretical underpinnings of large language models and related transformer architectures; assess methods for requirements generation, design exploration, Retrieval-Augmented Generation (RAG) pipelines, and agent-based workflows; and evaluate governance, safety, and ethical considerations across the systems engineering lifecycle. Virtual laboratory sessions provide hands-on experience with frontier cloud models and locally hosted open-source counterparts, enabling participants to prototype requirement refactoring, code and model synthesis, simulation test generation, and multi-agent orchestration while maintaining rigorous verification, validation, and human-oversight mechanisms essential to high-consequence engineered systems.
Course Offerings
New
Open
AI for Systems Engineering
08/25/2025 - 12/09/2025
Tues 4:30 p.m. - 7:10 p.m. |