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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.

Undergraduate should take this course for 3 hours and Graduate students should take this course for 4 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.