CEE 498

Spring 2024 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 2024
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
41466	Lecture-Discussion Lecture-Discussion	ISL ISL	10:00AM -10:50AM 1:00PM -2:50PM	MWF T	2310 Newmark Civil Engineering Bldg Location Pending	Henschen, J	Part of Term: 1 Date Range: 01/16/24-05/01/24 Credit: 4 hours Section Title: CE Measurement and Experiments Section Info: Infrastructure Sensing Lab Course description: Students will learn basic strategies for experimental design, and gain experience working with a variety of CEE sensing techniques; with components in experimental design and approaches to terrestrial, field, and laboratory-based measurements and experiential learning to explore sensor types and technologies. The course will have modules on 4 sensing applications: (1) mechanics and materials, (2) water and environment, (3) transportation, and (4) construction.
60843	Online	ISO	ARRANGED	n.a.	n.a.	Henschen, J	Part of Term: 1 Date Range: 01/16/24-05/01/24 Credit: 4 hours Section Title: CE Measurement and Experiments Section Info: Infrastructure Sensing Lab Course description: Students will learn basic strategies for experimental design, and gain experience working with a variety of CEE sensing techniques; with components in experimental design and approaches to terrestrial, field, and laboratory-based measurements and experiential learning to explore sensor types and technologies. The course will have modules on 4 sensing applications: (1) mechanics and materials, (2) water and environment, (3) transportation, and (4) construction. Restricted to online non-degree, online MCS, online MSME and online MSCEE 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.
50877	Lecture-Discussion	MLC	11:00AM -12:20PM	TR	1017 Civil & Envir Eng Bldg	Meidani, H	Part of Term: 1 Date Range: 01/16/24-05/01/24 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	Part of Term: 1 Date Range: 01/16/24-05/01/24 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. 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). 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	Part of Term: 1 Date Range: 01/16/24-05/01/24 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. Prerequisite: CEE 498 Data Science for CEE 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.