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What you'll be able to do (official learning outcomes)
At the end of this course, students should have the ability to:
carry out survey network adjustment using Least Squares Adjustment (LSA) methods
use different approaches for the treatment of large geodetic networks during adjustment
statistically analyse the results obtained from LSA processes; and
apply LSA technique in all areas of specialization of Surveying and Geoinformatics
Course contents
Partitioning and diagonalization of matrix. Principles of Least Squares Adjustment (LSA). Condition equations, observation equations, combined (mixed) model equations methods of LSA. Design of weight matrices in LSA. Weight and functional constraints. Treatment of large geodetic networks.
Source: the Nigerian Universities Commission (NUC) Core Curriculum and Minimum Academic Standards (CCMAS). StudyOps loads this syllabus automatically when you study SVG 404.