Courses & Units
Analysis of Observations KGG370
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 | College of Sciences and Engineering School of Geography, Planning, and Spatial Sciences |
| Discipline | Geography, Planning, and Spatial Sciences |
| Coordinator | Doctor Christopher Watson |
| Available as an elective? | Yes |
| Delivered By | University of Tasmania |
| Level | Advanced |
Availability
| Location | Study period | Attendance options | Available to | ||
|---|---|---|---|---|---|
| Hobart | Semester 1 | On-Campus | International | Domestic | |
Key
- On-campus
- Off-Campus
- International students
- Domestic students
Note
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Key Dates
| Study Period | Start date | Census date | WW date | End date |
|---|---|---|---|---|
| Semester 1 | 26/2/2024 | 22/3/2024 | 15/4/2024 | 2/6/2024 |
* 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 2024 are indicative and subject to change. Finalised census dates for 2024 will be available from the 1st October 2023. Note census date cutoff is 11.59pm AEST (AEDT during October to March).
Learning Outcomes
- Perform a least squares adjustment by first principles and using matrix notation.
- Apply different software packages to adjust spatial data.
- Interpret adjustment output in relation to relevant industry standards and specifications.
- Appraise different survey methodologies using adjustment output.
Fee Information
| Field of Education | Commencing Student Contribution 1,3 | Grandfathered Student Contribution 1,3 | Approved Pathway Course Student Contribution 2,3 | Domestic Full Fee 4 |
|---|---|---|---|---|
| 031101 | $1,118.00 | $1,118.00 | not applicable | $3,085.00 |
1 Please refer to more information on student contribution amounts.
2 Please refer to more information on eligibility and Approved Pathway courses.
3 Please refer to more information on eligibility for HECS-HELP.
4 Please refer to more information on eligibility for FEE-HELP.
If you have any questions in relation to the fees, please contact UConnect or more information is available on StudyAssist.
Please note: international students should refer to What is an indicative Fee? to get an indicative course cost.
Requisites
Prerequisites
KMA152 - Mathematics 1A AND KMA154 - Mathematics 1B AND KGG255 - Surveying 1Teaching
| 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) |
|---|---|
| Assessment | Practical Test (20%)|Report 1: Basic Least Squares Adjustments (20%)|Report 2: Least Squares output and interpretation (20%)|Written Exam (40%) |
| Timetable | View 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 | Links | Booktopia textbook finder |
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