Data Analysis by Least Squares - GMAT2550

Faculty: Faculty of Engineering

School: School of Surveying & Geospatial Engineering

Course Outline:

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: 2 (more info)

Tuition Fee: See Tuition Fee Schedule

Further Information: See Class Timetable

View course information for previous years.


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.


Study Levels

UNSW Quick Links