CEE 498

Spring 2025 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 2025
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
50877	Lecture-Discussion	MLC	11:00AM -12:20PM	TR	2015 Civil & Envir Eng Bldg	Meidani, H Zhong, V	Part of Term: 1 Date Range: 01/21/25-05/07/25 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 Zhong, V	Part of Term: 1 Date Range: 01/21/25-05/07/25 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 Zhong, V	Part of Term: 1 Date Range: 01/21/25-05/07/25 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.
44733	Lecture-Discussion	MP	9:30AM -10:50AM	TR	2310 Newmark Civil Engineering Bldg	Matthews, M	Part of Term: 1 Date Range: 01/21/25-05/07/25 Credit: 4 hours Section Title: Modeling Plants Gene-Ecosystem Section Info: This course is an introduction to how we quantitatively study plants and their interactions with their surrounding environment. In this course, we will study different levels of biological organization that govern plant behavior, focusing on gene regulation, metabolism, physiology, and environmental feedbacks. Students will learn and apply mathematical, statistical, and computational approaches to gain insight into the structure and behavior of complex systems. Analysis tools will include, but are not limited to, the simulation and analysis of nonlinear ordinary differential equations, network analysis, constraint-based optimization modeling, and machine learning/data-driven modeling. It is expected that students will already be familiar with the fundamentals of differential equations and linear algebra and have prior experience with python (or similar programming language). A background in biology is not required.
40626	Lecture-Discussion	MP3	9:30AM -10:50AM	TR	Location Pending		Part of Term: 1 Date Range: 01/21/25-05/07/25 Credit: 3 hours Section Title: Modeling Plants Gene-Ecosystem Section Info: Survey of offshore industries, structures, and site characterization. Renewable energy systems, offshore developments. Wave generation phenomenon, statistics, and linear theory. Hydrodynamic forces on offshore structures. Seabed sediment transport and scour. Geotechnical design aspects of subsea pipelines, cables, foundations, and anchor piles.
70794	Online	MPC	ARRANGED	n.a.	n.a.	Matthews, M	Part of Term: 1 Date Range: 01/21/25-05/07/25 Special Approval: Departmental Approval Required Section Title: Modeling Plants Gene-Ecosystem Section Info: Choose four credit hours. 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.
59028	Online	MPO	ARRANGED	n.a.	n.a.	Matthews, M	Part of Term: 1 Date Range: 01/21/25-05/07/25 Section Title: Modeling Plants Gene-Ecosystem Section Info: This course is an introduction to how we quantitatively study plants and their interactions with their surrounding environment. In this course, we will study different levels of biological organization that govern plant behavior, focusing on gene regulation, metabolism, physiology, and environmental feedbacks. Students will learn and apply mathematical, statistical, and computational approaches to gain insight into the structure and behavior of complex systems. Analysis tools will include, but are not limited to, the simulation and analysis of nonlinear ordinary differential equations, network analysis, constraint-based optimization modeling, and machine learning/data-driven modeling. It is expected that students will already be familiar with the fundamentals of differential equations and linear algebra and have prior experience with python (or similar programming language). A background in biology is not required. 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:Bioeng:Gen Bioeng On-UIUC, MENG:Bioeng:Bioinstr Onl -UIUC, MENG:Engr:AeroSys Online- UIUC, or MENG:ENGR:Digital Ag ONL- UIUC.
41466	Lecture-Discussion	TF	11:00AM -12:50PM	MF	2310 Newmark Civil Engineering Bldg	Ouyang, Y	Part of Term: B Date Range: 03/17/25-05/07/25 Credit: 3 hours Section Title: Traffic Flow Analysis Section Info: 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. Restriction(s): Restricted to Graduate - Urbana-Champaign.
59423	Online	TFC	ARRANGED	n.a.	n.a.	Ouyang, Y	Part of Term: B Date Range: 03/17/25-05/07/25 Special Approval: Departmental Approval Required Credit: 4 hours Section Title: Traffic Flow Analysis Section Info: Restricted to online non-degree, online MCS, online MSAE, online MSME, and online MSCE students. Center for Innovation in Teaching & Learning (CITL) restrictions and assessments apply, see http://www.citl.illinois.edu. 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 MS: Civil Engr - Online - UIUC, MCS:Computer Sci Online -UIUC, MS:Industrial Engr Online-UIUC, MS:Mechanical Engineerng -UIUC, MS:Env Engr CivilEngr ONL-UIUC, MS: Aerospace Engr-Online-UIUC, MENG:Engr:Energy Sys Onl-UIUC, NDEG:Graduate OR - UIUC, NDEG:Undergraduate OR - UIUC, MENG:Mech Engineering Onl-UIUC, MENG:Elec & Comp Eng ONL -UIUC, or MENG:Engr:AeroSys Online- UIUC.
60843	Online	TFO	ARRANGED	n.a.	n.a.	Ouyang, Y	Part of Term: B Date Range: 03/17/25-05/07/25 Credit: 3 hours Section Title: Traffic Flow Analysis Section Info: 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.