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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
Course Schedule
Registration Date/Time:
3/31/2026 7:30am Central Time
Event Dates/Times:
3/31/2026 8:00am - 4:30pm Central Time
4/1/2026 8:00am - 4:30pm Central Time
Location and Lodging
Course Location
Lodging
Room: rates start at $160
Accommodations include: Complimentary WiFi, Local/Airport Shuttle, Pool, and Fitness Center.
Accommodations include: Enjoy complimentary business center, WiFi and Local/Airport Shuttle. Each room has a refrigerator, microwave, 42-inch HDTV, and executive desk. Parking available $15/night.
Room: rates start at $170
Accommodations include: Your stay includes hot breakfast buffet, fitness center, business center, convenient on-site parking. Guest rooms are complete with Keurig coffee maker, refrigerator, complimentary high-speed Internet, and 40-inch, flat screen, high-def TVs.
Course Notes
A laptop is required to complete the course exercises.
Laptop rental information will be available closer to the course start date.
This course is offered in a HyFlex format, meaning you can attend either in person or online. Your registration is for one format only; please plan to attend all sessions in the format you selected. If you have questions or need to switch formats, contact us.
After registering, you'll receive instructions on how to setup your NetID and access the course site in Canvas. All course materials, including instructional content, participation certificates, and evaluations, will be available through Canvas.
All materials are digital and can only be accessed on the Canvas site.
Online participants will join sessions via Zoom. The Zoom link will be sent a few days before the course begins.
Please check the email address you used to register for important updates and pre-course information. Check your spam folder for the "@wisc.edu" address if you are not receiving emails.
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