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Analysis of Observations unit (KGG370)

Location: Hobart

This unit requires participation in person, on campus, for most of the teaching activities and all of the assurance of learning assessment tasks.

Introduction

Observations of many different types are central to the determination of information across the geospatial sciences. In this unit, you will gain knowledge in the theory and practical application of least squares adjustment techniques including the reduction of raw measurements, weighted adjustment of terrestrial and satellite-based observations, detection of outliers, parameter uncertainty and network design to achieve a required job specification. The unit focuses on providing you with an appreciation of uncertainty and how it is treated and communicated within the land surveying profession. You are introduced to a range of advanced adjustment concepts and their application in different applications. Case studies are used to provide practical application of the material presented in the interactive seminars. Tutorial exercises provide learning opportunities that include the use of different computational and adjustment packages used across industry.

Summary

Unit name Analysis of Observations
Unit code KGG370
Credit points 12.5
College/School Sciences and Engineering
School of Geography, Planning, and Spatial Sciences
Discipline Geography, Planning, and Spatial Sciences
Coordinator Associate Professor Christopher Watson
Available as an elective? Yes
Delivered By University of Tasmania
Level Advanced

Sustainable Development Goals

The Unit Coordinator has identified that this unit aligns with the following UN Sustainable Development Goals. We welcome your thoughts and feedback on the alignment of the unit with these goals.

Availability

Location Study period Attendance options Available to
Hobart Semester 1 This unit is available through on-campus delivery Available to International Students Available to Domestic Students
  • Key:
  • This unit is available through on-campus delivery On-campus
  • This unit is available through off-campus delivery Off-Campus
  • Available to International Students International students
  • Available to Domestic Students Domestic students
Note

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Key Dates

Study Period Start date Census date WW date End date
Semester 1 21/2/2027 15/3/2027 18/4/2027 12/6/2027

* 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 (refer to How do I withdraw from a unit? for more information).

Unit census dates currently displaying for 2027 are indicative and subject to change. Finalised census dates for 2027 will be available from the 1st October 2026. Note census date cutoff is 11.59pm AEST (AEDT during October to March).

About Census Dates

Learning Outcomes

  • Perform a least squares adjustment by first principles and using matrix notation.
  • Apply different software packages to adjust spatial data.
  • Interpret adjustment requirements and outputs in relation to relevant industry specifications.
  • Explain all components of the workflow for an adjustment of spatial data.

Fee Information

Unit fee information for 2027 will be available in September.

Requisites

Prerequisites

KMA152 - Mathematics 1A AND KMA154 - Mathematics 1B AND KGG255 - Surveying 1

Teaching

Teaching Pattern

2 x 1 hour online lectures/seminars per week (online, synchronous)

1 x 1 hour on-campus lecture/workshop per week (on-campus, in-person)

1 x 1 hour tutorial per week (on-campus, in-person)

AssessmentPractical Test (20%)|Report 1: Basic Least Squares Adjustments (20%)|Report 2: Least Squares output and interpretation (20%)|Invigilated Written Exam (40%)
TimetableView the lecture timetable | View the full unit timetable

Textbooks

Required

All required readings will be provided in PDF format in MyLo.

Recommended

Harvey, B. (2016) Practical Least Squares and Statistics for Surveyors, Monograph 13, Third Edition reprinted 2016, UNSW. 332 pp.  ISBN 0-7334-2339-6. Available from https://www.bookshop.unsw.edu.au/details.cgi?ITEMNO=9780733423390 

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