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 Analysis of Observations - GMAT2300
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Campus: Kensington Campus
 
 
Career: Undergraduate
 
 
Units of Credit: 3
 
 
Contact Hours per Week: 3
 
 
Enrolment Requirements:
 
 
Prerequisite: MATH 1231, GMAT 1150; Corequisite: MATH 2019.
 
 
Offered: Session Two
 
 
Fee Band: 2
 
  

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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