SURV 263 - Measurement Analysis and Adjustment

Course Description
Theory of errors, analysis of errors and reliability measures of Geomatics data, implementation of error propagation in different Geomatics applications, pre-analysis for Geomatics projects, formulation of direct, indirect, conditional and implicit models for Geomatics problems, application of parametric, conditional and combined least-squares estimation techniques for adjustment of Geomatics measurements, linear and non-linear least-squares estimation with iterative solutions, introduction to univariate and multivariate statistics, estimation of unknowns with weighted observations, quality assessment of the adjustment results, error ellipses, percent errors, advanced least-squares estimation techniques applied in Geomatics such as Kalman filtering and sequential solution methods.

3 Credits:

Prerequisite(s):

MAPS 204
MATH 238
SURV 214

Equivalent Course(s):

MATH 265