AI/ML in Chemical and Life Science Engineering.

Catalog description

Semester course; 3 lecture hours. 3 credits. Enrollment is restricted to students with senior or graduate standing in the College of Engineering or Department of Chemistry, or by permission of the instructor. Students should have an introductory course in computer programming and the ability to code in Python at an intermediate level. Digital technology has penetrated nearly every commercial sector of the global economy with tremendous implications. In this course, the fundamental basis and applications of basic tools of AI/ML in the areas of chemical and materials engineering are developed, including molecular structure-property prediction and product development, text-to-procedure extraction, and automation-assisted chemical process development. Student learning and course performance will be assessed with a combination of exams as individual and group-based project work.