Data Analysis by Least Squares - GMAT2550


	Faculty: Faculty of Engineering
	School: School of Surveying & Spatial Information Systems
	Course Outline: http://www.gmat.unsw.edu.au/
	Campus: Kensington Campus
	Career: Undergraduate
	Units of Credit: 6
	EFTSL: 0.12500 (more info)
	Indicative Contact Hours per Week: 5
	Enrolment Requirements:
	Prerequisite: MATH1231, Corequisite: GMAT2500
	CSS Contribution Charge:Band 5 (more info)
	Tuition Fee:See Tuition Fee Schedule
	Further Information: See Class Timetable

Description

Least squares principles and concepts. Reasons for applying least squares solutions to surveying observations. Determining input into, and analysing output from, typical least squares adjustment software. Modelling observations, observation equations, parametric method, condition and combined methods. Linearisation of equations. Derivation of least squares. Methods of forming normal equations. Worked examples in various areas of cadastral and engineering surveys. Calibration of EDM instruments. Variance-covariance matrices, error ellipses the application of statistics and error analysis in surveying. Computer programming for analysis and graphics related to least squares adjustment of survey networks. Introduction to advanced least squares.