Teaching Artificial Intelligence to Chemical Engineers

Experience from a 35-year-old Course

Autores/as

  • Venkat Venkatasubramanian Columbia University

DOI:

https://doi.org/10.18260/2-1-370.660-130423

Resumen

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.

Biografía del autor/a

Venkat Venkatasubramanian, Columbia University

Venkat Venkatasubramanian is the Samuel Ruben-Peter G. Viele Professor of Engineering in the Department of Chemical Engineering at Columbia University. He considers himself an artist in science, whose natural tendency is to conduct curiosity-driven research in a style that might be considered impressionistic, emphasizing conceptual issues over mere techniques. Venkat’s research interests are diverse, ranging from AI to systems engineering to theoretical physics to economics, but with a focus on understanding complexity and emergent behavior in different domains. 

Descargas

Publicado

2022-10-25

Número

Vol. 56 Núm. 4 (2022): Fall 2022

Sección

Manuscripts