Teaching Artificial Intelligence to Chemical Engineers: Experience from a 35-year-old Course
Venkat Venkatasubramanian
Abstract
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.
Topics & Concepts
Course (navigation)Computer scienceArtificial intelligenceComponent (thermodynamics)Symbolic artificial intelligenceMathematics educationCognitive scienceArtificial intelligence, situated approachEngineeringPsychologyPhysicsThermodynamicsAerospace engineeringReservoir Engineering and Simulation MethodsMineral Processing and Grinding