Mathematics of Spatial Information (GEOM90040)
Graduate courseworkPoints: 12.5On Campus (Parkville)
About this subject
Contact information
Semester 2
Kourosh Khoshelham
Overview
| Availability | Semester 2 |
|---|---|
| Fees | Look up fees |
AIMS
In this subject students will learn about the range of computational techniques applicable to problems commonly arising in surveying and spatial information. This subject applies the mathematical and computational knowledge acquired in COMP20005 Engineering Computation; MAST10007 Linear Algebra (or its equivalent). The content of this subject is relevant to GEOM90033 Satellite Positioning Systems, and GEOM90039 Advanced Surveying and Mapping. The subject is of particular relevance to students wishing to establish a career in surveying engineering, mining, mapping, or spatial information in general, and is also relevant to a range of civil engineering disciplines where the capture and processing of spatial or survey measurements to meet a specific performance specification should be considered.
INDICATIVE CONTENT
Least squares adjustment, survey measurement errors, survey network design and adjustment, coordinate systems, geodetic datum, datum transformations.
Intended learning outcomes
INTENDED LEARNING OUTCOMES (ILO)
On completion of this subject the student is expected to:
- Define parameters of an ellipsoid as a mathematical representation of the Earth’s surface and use it for computations relevant to surveying, mapping, navigation and geodesy
- Manipulate coordinates on the basis of understanding the concepts of datums, coordinate systems and map projections
- Use vector theory to solve fundamental problems associated with practice in surveying and spatial information
- Apply least square theory appropriately to solve simple adjustment and estimation problems in spatial science.
Generic skills
- Ability to undertake problem identification, formulation, and solution
- Understanding of social, cultural, global, and environmental responsibilities and the need to employ principles of sustainable development
- Capacity for creativity and innovation
- Understanding of professional and ethical responsibilities, and commitment to them
- Capacity for lifelong learning and professional development.
Last updated: 3 November 2022
Eligibility and requirements
Prerequisites
None
Corequisites
None
Non-allowed subjects
None
Inherent requirements (core participation requirements)
The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.
Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home
Last updated: 3 November 2022
Assessment
Additional details
- 10 x written assignments (30%) each of approximately 100 words, completed weekly, approximately 40 hours of work. Intended Learning Outcomes (ILOs) 1 to 4 are addressed in these assignments
- Major Assignment (20%) approximately 1000 words, approximately 30 hours of work is required for this major assignment, due end of semester. ILOs 1 to 4 are addressed in this assignment
- 1-hour class test (10%) around mid-semester, approximately 500 words. ILOs 1 and 2 are addressed in this test
- 4-in class immediate feedback and assessment tests (40%). ILOs 1 to 4 are addressed in these tests
Last updated: 3 November 2022
Dates & times
- Semester 2
Principal coordinator Kourosh Khoshelham Mode of delivery On Campus (Parkville) Contact hours 48 hours (Lectures: 2 hours per week; Laboratory Exercises: 2 hours per week) Total time commitment 200 hours Teaching period 29 July 2019 to 27 October 2019 Last self-enrol date 9 August 2019 Census date 31 August 2019 Last date to withdraw without fail 27 September 2019 Assessment period ends 22 November 2019 Semester 2 contact information
Kourosh Khoshelham
Time commitment details
200 hours
Last updated: 3 November 2022
Further information
- Texts
- Subject notes
LEARNING AND TEACHING METHODS
The subject is based principally on presentations by experienced industry professionals who present case studies in their area of expertise. Computer laboratory exercises are used reinforce the theory as well as to showcase the practical application of this material.
INDICATIVE KEY LEARNING RESOURCES
Lecture materials and notes will be provided via the LMS.
CAREERS / INDUSTRY LINKS
Presenters from the private land surveying industry will provide students with the material for this subject. Real world case studies will demonstrate the applicability of this material across the broader surveying and spatial industry.
- Related Handbook entries
This subject contributes to the following:
Type Name Course Ph.D.- Engineering Course Master of Philosophy - Engineering Course Doctor of Philosophy - Engineering Specialisation (formal) Spatial Specialisation (formal) Spatial - Available through the Community Access Program
About the Community Access Program (CAP)
This subject is available through the Community Access Program (also called Single Subject Studies) which allows you to enrol in single subjects offered by the University of Melbourne, without the commitment required to complete a whole degree.
Please note Single Subject Studies via Community Access Program is not available to student visa holders or applicants
Entry requirements including prerequisites may apply. Please refer to the CAP applications page for further information.
Additional information for this subject
Subject coordinator approval required
- Available to Study Abroad and/or Study Exchange Students
Last updated: 3 November 2022