Hobart
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 |
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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 | |
Level | Advanced |
Available as student elective? | Yes |
Breadth Unit? | No |
Availability
Note
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TNE Program units special approval requirements.
* The Final WW Date is the final date from which you can withdraw from the unit without academic penalty, however you will still incur a financial liability (see withdrawal dates explained for more information).
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 |
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Assessment | 3-hr exam (50%), Practical/Oral Exam (10%), 5 Tutorial/Assignment Reports (40%) |
Timetable | View the lecture timetable | View the full unit timetable |
Textbooks
Required | Information about any textbook requirements will be available from mid November. |
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Recommended |
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