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SYSE 574 - AI-Augmented Systems Engineering

  • 3 credits
View available sections
Covers AI approaches such as machine learning, neural networks, generative AI, and data science techniques that support human engineers in the system engineering effort. Learn the conceptual architecture, challenges, and ethical debates that articulate employing AI as an assistant systems engineer and apply this knowledge to specific applications in the systems engineering domain.

Instructors

Steve Conrad

Steve.Conrad@colostate.edu

Dr. Steve Conrad has conducted research and consulted with the water and energy industry for over 25 years on the feedbacks between human-environmental systems through the coupling of social and engineering sciences to inform decision making and visualization, the quantification and modelling of system function, system optimization and resilience, and policy and planning as applied to energy, water and food systems, sustainable community design, and climate change adaptation.