Course Websites
AE 498 DOO - Data-Driven Modeling & Opt
Last offered Fall 2026
Official Description
Subject offerings of new and developing areas of knowledge in aerospace engineering intended to augment the existing curriculum. See Class Schedule or department course information for topics and prerequisite. Course Information: 1 to 4 undergraduate hours. 1 to 4 graduate hours. May be repeated in the same or separate terms if topics vary to a maximum of 9 undergraduate hours or 12 graduate hours.
Section Description
Data-Driven Modeling and Optimization: This course introduces the use of data-driven models for modeling and optimizing aerospace systems. Topics may include statistical and probabilistic models, optimization, and surrogate modeling. Pre-requisites: IE 300, STAT400, or equivalent statistics course (or permission of the instructor). Undergraduates register for 3 hours. Graduates register for 4 hours.
Restricted to online graduate 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 introduces the use of data-driven models for modeling and optimizing aerospace systems. Topics may include statistical and probabilistic models, optimization, and surrogate modeling.
Credit Hours
3 or 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 IE 300, STAT400, or equivalent statistics course (or permission of the instructor).
| Title | Section | CRN | Type | Hours | Times | Days | Location | Instructor |
|---|---|---|---|---|---|---|---|---|
| Data-Driven Modeling & Opt | DOO | 70302 | ONL | 4 | - | Huy T Tran |