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, students will gain knowledge in the theory and practical application of least squares adjustment techniques including the reduction of raw measurements; weighted adjustment of observations; detection of outliers; parameter uncertainty; network design and optimisation of observations.
The unit focuses on providing students with an appreciation of uncertainty and how it is treated and communicated within the land surveying profession. Students are introduced to a range of advanced adjustment concepts
Case studies are used to provide practical application of the material presented in the interactive lectures. Tutorial exercises provide students learning opportunities that include the use of different computational and adjustment packages used across industry.
The unit brings together the analysis of different observation types that students have used in KGG255 Surveying 1 and KGG220 Surveying 2 and extends to provide examples relevant to KGG306 GNSS: Global Navigation Satellite Systems and KGG307 Geodesy: Observing Our Changing Planet.
Summary
Unit name | Analysis of Observations |
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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 |
Teaching staff | Doctor Christopher Watson |
Available as an elective? | Yes |
Delivered By | University of Tasmania |
Level | Advanced |
Availability
Location | Study period | Attendance options | Available to | ||
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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 |
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Semester 1 | 20/2/2023 | 21/3/2023 | 10/4/2023 | 28/5/2023 |
* 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 2023 are indicative and subject to change. Finalised census dates for 2023 will be available from the 1st October 2022. 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.
Field of Education | Commencing Student Contribution 1,3 | Grandfathered Student Contribution 1,3 | Approved Pathway Course Student Contribution 2,3 | Domestic Full Fee 4 |
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031101 | $1,037.00 | $1,037.00 | not applicable | $2,938.00 |
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 | 3 x 1 hour lectures per week. 1 x 1 hour tutorial per week. |
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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 |
Required readings will be listed in the unit outline prior to the start of classes. |
Links | Booktopia textbook finder |
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