SYSEN 5493

Coding with Generative AI for Systems Engineers

Course Description

Course information provided by the 2025-2026 Catalog.

Coding with Generative AI for Systems Engineers is a 1-credit course that introduces students to the use of generative artificial intelligence tools for coding tasks in systems engineering. Students learn how to leverage AI coding assistants (such as large language models) to generate, refine, and debug code, and to integrate these models into engineering workflows. Topics include prompt engineering for code generation, the use of AI in model-based systems engineering, and understanding the limitations and ethical considerations of AI-generated code. Through lectures and small hands-on projects, students gain practical experience employing generative AI to solve real-world engineering problems. The course culminates in a final project where students demonstrate AI-assisted coding in a systems context. This course equips future systems engineers with essential skills in AI-augmented software development.

Enrollment Priority Priority given to: Systems Engineering M.Eng. students.

Last 4 Terms Offered (None)

Learning Outcomes

• Identify and explain the capabilities and limitations of generative AI tools for coding tasks within systems engineering projects.
• Apply prompt engineering techniques and generative AI models to generate, debug, and optimize code as part of solving systems engineering problems.
• Develop a small-scale project integrating AI-generated code into a systems engineering application, and evaluate the results, including ethical considerations of AI-assisted development.

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