# 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

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