CEE 598

Fall 2026 All Classes

All Classes

Special Topics

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.

May be repeated in the same or separate terms if topics vary.

My Favorites

My Schedule

Section Status updates every 10 minutes.

CEE 598 class schedule data for fall 2026
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
39918	Lecture-Discussion	DL	2:00PM -3:20PM	TR	2015 Civil & Envir Eng Bldg	Alipour, M	Availability: Open Part of Term: 1 Date Range: 08/24/26-12/09/26 Credit: 4 hours Section Title: Deep Learning for CEE Section Info: This course focuses on deep learning within all areas of civil and environmental engineering. In addition to examining the basics of deep learning, students will investigate practical applications in sensor data processing, information extraction, remote sensing, surrogate modeling, and predictive analytics. Topics of interest include deep convolutional networks, recurrent neural networks, and generative adversarial learning. Students will learn to identify, understand, and compare different deep learning techniques and formulate civil engineering problems using appropriate techniques. The focus will be on understanding why and how deep learning methods may improve civil engineering problem-solving and determining the conditions when deep learning may not be a helpful approach. Ultimately, the concepts will be leveraged to formulate and solve data-intensive real-world CEE problems using the techniques discussed. Prerequisite: CEE 492, or equivalent
55907	Online	DLC	ARRANGED	n.a.	n.a.	Alipour, M	Availability: Open (Restricted) Part of Term: 1 Date Range: 08/24/26-12/09/26 Special Approval: Departmental Approval Required Credit: 4 hours Section Title: Deep Learning for CEE Section Info: Deep Learning for CEE This course focuses on deep learning within all areas of civil and environmental engineering. In addition to examining the basics of deep learning, students will investigate practical applications in sensor data processing, information extraction, remote sensing, surrogate modeling, and predictive analytics. Topics of interest include deep convolutional networks, recurrent neural networks, and generative adversarial learning. Students will learn to identify, understand, and compare different deep learning techniques and formulate civil engineering problems using appropriate techniques. The focus will be on understanding why and how deep learning methods may improve civil engineering problem-solving and determining the conditions when deep learning may not be a helpful approach. Ultimately, the concepts will be leveraged to formulate and solve data-intensive real-world CEE problems using the techniques discussed. Prerequisite: CEE 492, or equivalent Restriction(s): Restricted to Graduate - Urbana-Champaign.
47399	Online	DLO	ARRANGED	n.a.	n.a.	Alipour, M	Availability: Open (Restricted) Part of Term: 1 Date Range: 08/24/26-12/09/26 Credit: 4 hours Section Title: Deep Learning for CEE Section Info: This course focuses on deep learning within all areas of civil and environmental engineering. In addition to examining the basics of deep learning, students will investigate practical applications in sensor data processing, information extraction, remote sensing, surrogate modeling, and predictive analytics. Topics of interest include deep convolutional networks, recurrent neural networks, and generative adversarial learning. Students will learn to identify, understand, and compare different deep learning techniques and formulate civil engineering problems using appropriate techniques. The focus will be on understanding why and how deep learning methods may improve civil engineering problem-solving and determining the conditions when deep learning may not be a helpful approach. Ultimately, the concepts will be leveraged to formulate and solve data-intensive real-world CEE problems using the techniques discussed. Prerequisite: CEE 492, or equivalent Restriction(s): Restricted to Graduate - Urbana-Champaign. Restricted to 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, MENG:ENGR:Digital Ag ONL- UIUC, or MENG:Engr:ChemEngLead ONL-UIUC.
45663	Lecture-Discussion	GFM	12:30PM -1:50PM	MW	1311 Newmark Civil Engineering Bldg	Duarte, C	Availability: Open (Restricted) Part of Term: 1 Date Range: 08/24/26-12/09/26 Credit: 4 hours Section Title: Generalized FEM Section Info: Theory and applications of Generalized/eXtended Finite Element Methods: high-order approximations, conditioning control, verification and validation, implementation in research and commercial software, solution of 2-D and 3-D fracture mechanics problems, problems with weak discontinuities, and multiscale problems. Students will gain hands-on experience with a 3D Generalized FEM software package used to explore and apply the method to representative example problems. Prerequisite: Introductory finite element method course: CEE 570, AE 420, ME 471, or equivalent, or approval of the instructor. Restriction(s): Restricted to Graduate - Urbana-Champaign.
47401	Online	GFO	ARRANGED	n.a.	n.a.	Duarte, C	Availability: Open (Restricted) Part of Term: 1 Date Range: 08/24/26-12/09/26 Credit: 4 hours Section Title: Generalized FEM Section Info: Theory and applications of Generalized/eXtended Finite Element Methods: high-order approximations, conditioning control, verification and validation, implementation in research and commercial software, solution of 2-D and 3-D fracture mechanics problems, problems with weak discontinuities, and multiscale problems. Students will gain hands-on experience with a 3D Generalized FEM software package used to explore and apply the method to representative example problems. Prerequisite: Introductory finite element method course: CEE 570, AE 420, ME 471, or equivalent, or approval of the instructor. Restricted to online grad 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 Graduate - Urbana-Champaign. Restricted to 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, MENG:ENGR:Digital Ag ONL- UIUC, or MENG:Engr:ChemEngLead ONL-UIUC.
52073	Lecture-Discussion	TSA	9:00AM -10:20AM	MW	2312 Newmark Civil Engineering Bldg	Ouyang, Y	Availability: Open Part of Term: 1 Date Range: 08/24/26-12/09/26 Credit: 4 hours Section Title: Transportation Safety Analysis Section Info: Transportation Safety Analysis
42388	Online	TSO	ARRANGED	n.a.	n.a.	Ouyang, Y	Availability: Open (Restricted) Part of Term: 1 Date Range: 08/24/26-12/09/26 Credit: 4 hours Section Title: Transportation Safety Analysis Section Info: Transportation Safety Analysis Restriction(s): Restricted to 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, MENG:ENGR:Digital Ag ONL- UIUC, or MENG:Engr:ChemEngLead ONL-UIUC.
31554	Lecture-Discussion	UTM	3:30PM -4:50PM	TR	3310 Newmark Civil Engineering Bldg	Kontou, E	Availability: Open (Restricted) Part of Term: 1 Date Range: 08/24/26-12/09/26 Credit: 4 hours Section Title: Urban Transportation Models Restriction(s): Restricted to Graduate - Urbana-Champaign.
60530	Online	UTO	ARRANGED	n.a.	n.a.	Kontou, E	Availability: Open (Restricted) Part of Term: 1 Date Range: 08/24/26-12/09/26 Credit: 4 hours Section Title: Urban Transportation Models Restriction(s): Restricted to 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, MS:Biomed ImageComput ONL-UIUC, MENG:ENGR:Digital Ag ONL- UIUC, or MENG:Engr:ChemEngLead ONL-UIUC.