Official NUC CCMAS syllabus

SVG 307 — Adjustment Computation I

SVG department course · Nigerian universities

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What you'll be able to do (official learning outcomes)

At the end of this course, students should be able to:
demonstrate good knowledge of sources, propagation and treatment of errors
carry out survey network adjustment using elementary (i. e. non-least squares) techniques
differentiate between linear and non-linear models and linearization of non-linear model; and
apply direct and indirect methods of solving systems of linear equations

Course contents

Review of matrix algebra. Theory and propagation of errors. Principles and methods of survey network adjustment. Non-least squares adjustment methods like Bowditch, transit, equal shift and unaltered bearing adjustment methods. Braced quadrilateral and centered polygon adjustment. Linear and nonlinear models, Linearization.

Source: the Nigerian Universities Commission (NUC) Core Curriculum and Minimum Academic Standards (CCMAS). StudyOps loads this syllabus automatically when you study SVG 307.

SVG 307 — Adjustment Computation I

What you'll be able to do (official learning outcomes)

Course contents

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