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Campus: Kensington Campus
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Career: Undergraduate
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Units of Credit: 3
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Contact Hours per Week: 3
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Enrolment Requirements:
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Prerequisite: MATH 1231, GMAT 1150; Corequisite: MATH 2019.
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Offered: Session Two
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Fee Band: 2
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Description
Least squares principles and reasons for applying least squares solutions. Modelling observations, observation equations, parametric method, condition method. Linearisation of equations. Derivation of least squares; methods of forming normal equations. Worked examples in various areas of geomatics. The derivation of variance-covariance matrices. Analysis of variance-covariance matrix, application of statistics and error analysis in geomatics; error ellipses. Determining input into least squares using typical adjustment software. Introduction to advanced least squares.
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