CE 506 Syllabus, Fall 2006

• Models, model elements, observations, errors
• Adjustment, least squares
• Methods: mixed model (general LS), observations only, indirect observations
• Solutions: longhand, matrix, programmed
• Observations statistics, variance, covariance, weight
• Linear applications: mean, regression, coordinate transformation, leveling
• Constrained minimization, lagrange multipliers
• Nonlinear problems, newton iteration
• Nonlinear applications: triangulation, trilateration, traverse, ranging, GPS
• Post adjustment statistics
• Error propagation, confidence intervals, confidence regions
• GUI & software design using matlab
• Applications requiring mixed model (general LS)
• Network design, preanalysis
• Commercial packages: Move3, StarNet
• Blunder detection, robust estimation
• Tricks & hints: numerical derivatives, sequential formation