4 Units,  Graded A-E

Course Components: Lecture

Course Attributes: 

Description: Large patterned systems, Gauss-Markoff model and mixed models; collocation and its robustification; generalized matrices in geodetic science; sequential algorithms; consistency checks; error ellipsoids; variance component estimation; Kalman filtering.
Prereq: 5652 (651) or equiv. Not open to students with credit for GeodSciM 762.