Johns Hopkins University 3 credits Systems Engineering
This course explores the application of Artificial Intelligence (AI) across the systems engineering (SE) lifecycle. Students examine how AI can augment traditional systems engineering activities including requirements analysis, functional decomposition, architecture development, test and evaluation, decision analysis, risk management, and technical project management. Emphasis is placed on responsible, traceable, and auditable use of AI as an engineering tool—not a decision authority. Through lectures, discussions, hands-on labs, and a multi-week team project, students gain practical experience integrating AI into systems engineering workflows while critically evaluating its limitations, risks, and ethical implications. The course concludes with an exploration of Model-Based Systems Engineering (MBSE) combined with AI and a discussion of future trends in the discipline. Students are expected to register for ChatGPT Plus for the duration of the semester as the primary tool used in the course.
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