CE 568

LEAST SQUARES ADJUSTMENTS

Oregon State University-Cascades Campus · UGRD · Fall 2026

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Examines the theory of random error and statistical testing. Discusses the propagation of error in both indirect observations and direct observations from survey. Studies weights of observations and the principles of least squares. Explains how to adjust redundant observations in level nets, horizontal surveys, GNSS networks, and GNSS and terrestrial survey networks by least squares. Estimates the error ellipses of the adjusted observations. Evaluates methods for performing coordinate transformations.

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Class #oregon_cascades_campus-1793Fall 2026UGRD3 credits
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