CEE 498

Spring 2026 All Classes

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Credit: 1 TO 4 hours.

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.

1 to 4 undergraduate hours. 1 to 4 graduate hours. May be repeated in the same or separate terms if topics vary.

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CEE 498 class schedule data for spring 2026
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
59029	Lecture-Discussion	CDR	3:00PM -4:50PM	TR	3019 Civil & Envir Eng Bldg	Barros, A Exposito, A Khan, H Koloutsou-Vakakis, S Lee, J Lombardo, F Ouyang, Y Stillwell, A Van Riper, C Verma, V	Part of Term: 1 Date Range: 01/20/26-05/06/26 Special Approval: Departmental Approval Required Credit: 4 hours Section Title: Community Disaster Resilience Section Info: Community Disaster Resilience
50877	Lecture-Discussion	MLC	11:00AM -12:20PM	TR	2015 Civil & Envir Eng Bldg	Meidani, H Thapa, A	Part of Term: 1 Date Range: 01/20/26-05/06/26 Credit: 4 hours Section Title: Machine Learning in CEE Section Info: 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.
59147	Online	MLO	ARRANGED	n.a.	n.a.	Meidani, H Thapa, A	Part of Term: 1 Date Range: 01/20/26-05/06/26 Credit: 4 hours Section Title: Machine Learning in CEE Section Info: 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. 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). Restriction(s): Restricted to NDEG:Engineering UG ONL - UIUC, MS: Civil Engr - Online - UIUC, MS:Industrial Engr Online-UIUC, MS:Mechanical Engineerng -UIUC, MS:Env Engr CivilEngr ONL-UIUC, NDEG:Engineering GR ONL - UIUC, MS: Aerospace Engr-Online-UIUC, MENG:Mech Engineering Onl-UIUC, MENG:Elec & Comp Eng ONL -UIUC, MENG:Engr:Energy Sys Onl-UIUC, MENG:Engr:AeroSys Online- UIUC, or MENG:ENGR:Digital Ag ONL- UIUC.
49381	Online	MOC	ARRANGED	n.a.	n.a.	Meidani, H Thapa, A	Part of Term: 1 Date Range: 01/20/26-05/06/26 Special Approval: Departmental Approval Required Credit: 4 hours Section Title: Machine Learning in CEE Section Info: 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. Students in this section will complete this course completely online except for the following which must be completed on-campus: Exams (will be completed in the classroom with the instructor/TA), Homework/exam sessions, Office Hours. Contact Becky Stillwell (rborden@illinois.edu), Meg Griffin (mgriffn@illinois.edu), and the course instructor for permission to register.