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The motivation, philosophy, and organization of a course on artificial intelligence in chemical engineering is presented. The purpose is to teach undergraduate and graduate students how to build AI-based models that incorporate a first principles-based understanding of our products, processes, and systems. This is achieved by combining symbolic AI with data-driven numeric AI. In this respect, this course is different from the standard machine learning course, which typically does not address the symbolic AI component.
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Venkat Venkatasubramanian (2022) studied this question.
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