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Data Analysis by Least Squares - GMAT2550
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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
 
 
Fee Band: 5 (more info)
 
 
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.

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© The University of New South Wales (CRICOS Provider No.: 00098G), 2004-2011. The information contained in this Handbook is indicative only. While every effort is made to keep this information up-to-date, the University reserves the right to discontinue or vary arrangements, programs and courses at any time without notice and at its discretion. While the University will try to avoid or minimise any inconvenience, changes may also be made to programs, courses and staff after enrolment. The University may also set limits on the number of students in a course.