University at Buffalo 3 credits Industrial and Systems Engineering
This course introduces undergraduate students to the use of artificial intelligence in Engineering Management as a decision, systems, and implementation problem rather than a coding problem. Students learn how to frame engineering and operational challenges, assess where AI can add value, evaluate whether data and processes are ready for AI use, and design responsible AI-enabled workflows that support better decisions. The course covers practical AI concepts relevant to engineering managers, including machine learning, generative AI, prompt-based decision support, analytics, and human-AI collaboration. Students examine how AI can be applied in operations, product development, quality, supply chains, and systems improvement, with attention to process understanding, baseline performance metrics, economic justification, validation, and risk. Requisites: EAS 305 and IE 423.
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