Directed study and research. Review of parametic least squares. One, two and three-dimensional network adjustments. Global and local measures of network precision. Datum definition. Pseudo-inverse and inner constraints solutions. S-transformations. Propagation of non-stochastic errors. Methods for outlier detection. Assignment of class and order to networks. Redundancy numbers and reliability theory. Variance component estimation. Optimal network design. Geometric deformation analysis. -- Course Website
Prerequisites: 10458 (v.3)<br/> Measurement and Adjustment Analysis 310<br/> <br/> or any previous version
