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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.