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Hobart

Note:

Introduction

Provides students with a working knowledge of least squares techniques and their application in spatial information science; theory of least squares; adjustment of measured data; adjustment with constraints; detection of outliers; network design and optimisation. Case studies are used to provide practical application of the material presented in the lectures.  Students are shown various adjustment software packages and introduced to advanced least squares problems at the conclusion of the course.

Summary 2021

Unit name Analysis of Observations
Unit code KGG370
Credit points 12.5
Faculty/School College of Sciences and Engineering
School of Geography, Planning, and Spatial Sciences
Discipline Geography, Planning, and Spatial Sciences
Coordinator

Teaching staff

Dr Christopher Watson
Level Advanced
Available as student elective? Yes
Breadth Unit? No

Availability

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About Census Dates

Fees

Requisites

Prerequisites

  • KMA152 and KMA154 and KGG255

Co-requisites

Mutual Exclusions

You cannot enrol in this unit as well as the following:

Teaching

Teaching Pattern

39 lectures, 13 tutorials

Assessment

3-hr exam (50%), Practical/Oral Exam (10%), 5 Tutorial/Assignment Reports (40%)

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Textbooks

Required

Information about any textbook requirements will be available from mid November.

Recommended

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