Course Websites
AE 598 GDO - Generative Design Synthesis
Last offered Spring 2026
Official Description
Subject offerings of new and developing areas of knowledge in aerospace engineering intended to augment existing formal courses. Topics and prerequisites vary for each section. See Class Schedule or departmental course information for both. Course Information: May be repeated in the same or separate terms if topics vary to a maximum of 12 hours.
Section Description
This course covers the use of generative models for design synthesis and optimization. Topics covered include optimization theory and problem formulation, autoencoding deep neural architectures, as well as the testing and validation of generated design results via model-based simulation.
Pre-Requisites: AE 498 Data-Driven Modeling and Optimization. Restricted to online non-degree, online MCS, online MSME, online MSCEE, and online MSAE 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 the Graduate Program Coordinator (ae-grad@illinois.edu).
Related Faculty
Subject Area
- Aerospace Engineering
Course Description
This course covers the use of generative models for design synthesis and optimization. Topics covered include optimization theory and problem formulation, autoencoding deep neural architectures, as well as the testing and validation of generated design results via model-based simulation.
Credit Hours
4 hours
Prerequisites
BS degree in engineering or science from an accredited college in the United States or an approved institution of higher learning abroad and AE 498 - Data-Driven Modeling and Optimization.
| Title | Section | CRN | Type | Hours | Times | Days | Location | Instructor |
|---|---|---|---|---|---|---|---|---|
| Generative Design Synthesis | GDO | 62469 | ONL | 4 | - | Jordan Smart |