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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.

Fundamentals of estimation of dynamical systems, with a special focus on aerospace systems: measurements and sensor fusion; observability and Luenberger observer; optimal estimation and Kalman filtering; nonlinear estimation; Bayesian filtering and sampling-based estimation; spacecraft orbit determination; estimation in aerospace systems. Prerequisite: STAT 361, STAT 400, or MATH 461; AE 353. 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 Program Coordinator, Jenna Russell (jennar@illinois.edu).

Fundamentals of estimation of dynamical systems, with a special focus on aerospace systems: measurements and sensor fusion; observability and Luenberger observer; optimal estimation and Kalman filtering; nonlinear estimation; Bayesian filtering and sampling-based estimation; spacecraft orbit determination; and estimation in aerospace systems are covered in this course.

4 hours

BS degree in engineering or science from an accredited college in the United States or an approved institution of higher learning abroad and STAT 361, STAT 400, or MATH 461; AE 353.