Course Websites

CEE 498 MLO - Machine Learning in CEE

Last offered Spring 2023

Official Description

Subject offerings of new and developing areas of knowledge in civil and environmental engineering intended to augment the existing curriculum. See Class Schedule or departmental course information for topics and prerequisites. Course Information: 1 to 4 undergraduate hours. 1 to 4 graduate hours. May be repeated in the same or separate terms if topics vary.

Section Description

This course focuses on the theory and mathematical foundations behind advanced machine learning methods, and their applications on CEE problems. Topics include regression, Bayesian inference, deep neural networks, physics-based deep learning, and Gaussian Processes. Prerequisite: CEE 498 Data Science for CEE Restricted to online non-degree, online MCS, online MSAE, online MSME, and online MSCE students. For more details on this course section, please see http://engineering.illinois.edu/online/courses/. Non-Degree students may enroll on a space-available basis with consent of Program Coordinator, Meg Griffin (mgriffin@illinois.edu).

Related Faculty

Subject Area

  • Civil and Environmental Engineering

Course Description

This course focuses on the theory and mathematical foundations behind advanced machine learning methods, and their applications on CEE problems. Topics include regression, Bayesian inference, deep neural networks, physics-based deep learning, and Gaussian Processes. Prerequisite: CEE 498 Data Science for CEE Restricted to online non-degree, online MCS, online MSAE, online MSME, and online MSCE students.

Credit Hours

4 hours

TitleSectionCRNTypeHoursTimesDaysLocationInstructor
Machine Learning in CEEMLO59147E24 -    Hadi Meidani