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Course Outline
Module 1 Overview of AI in engineers: overview, history, and AI classifications, potential and pitfalls
Module 2 Core concepts of machine learning
Module 3 Core concepts of deep learning and generative AI
Module 4 Core concepts in optimization and simulation
Module 5 Evaluating AI system performance: accuracy, reliability, and robustness
Module 6 AI deployment, auditing, and lifecycles
Module 7 AI applications in manufacturing, logistics, and transportation
Module 8 AI applications in healthcare systems (radiology and medical decision-making), infrastructure management
Instructor and Program Director
Instructor
Laura Albert, Ph.D.
Laura Albert, Ph.D. is a Professor of Industrial & Systems Engineering at the University of Wisconsin–Madison and a leading expert in operations research and data analytics. Her work has advanced homeland security, public safety, and election resilience, and her research on aviation security provided the foundation for TSA PreCheck, an achievement recognized with the INFORMS Impact Prize. She is a Fellow of AAAS, INFORMS, and IISE, and the recipient of major honors including a Fulbright Award and NSF CAREER Award.
As Department Chair from 2021-24, she guided UW-Madison's Industrial & Systems Engineering program to new heights in research, rankings, and student success. A Fellow of AAAS, INFORMS, and IISE, she is widely honored for her research and teaching. Known for making complex topics accessible and engaging, Prof. Albert has delivered dozens of keynote talks, written popular blogs, and frequently appeared in national media. She brings that same energy and clarity to the classroom, helping learners see how AI and data analytics can transform engineering and society.
Program Director
Susan Ottmann