Mathematics of Spatial Information (GEOM90040)
Graduate courseworkPoints: 12.5Dual-Delivery (Parkville)
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About this subject
Contact information
Semester 2
Dr Amir Khodabandeh
Overview
| Availability | Semester 2 - Dual-Delivery |
|---|---|
| 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 should be able to:
- ILO 1. Use vector theory to solve fundamental problems associated with practice in surveying and spatial information;
- ILO 2. Apply least square theory appropriately to solve simple adjustment and estimation problems in spatial science;
- ILO 3. Apply statistical hypothesis tests appropriately to validate estimated parameters 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: 31 January 2024
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: 31 January 2024
Assessment
| Description | Timing | Percentage |
|---|---|---|
8 written assignments. Each assignment is worth 4-hour workload, equivalent to 400 words. Intended Learning Outcomes (ILOs) 1 - 3 are addressed in these assignments
| From Week 1 to Week 11 | 40% |
Major Assignment approximately 1000 words. ILOs 1 - 3 are addressed in this assignment
| During the examination period | 20% |
1-hour class test , approximately 500 words. ILOs 1 and 2 are addressed in this test
| Week 10 | 10% |
3-in class immediate feedback and assessment tests, in weeks 4, 7 and 11. ILOs 1 - 3 are addressed in these tests
| From Week 4 to Week 11 | 30% |
Last updated: 31 January 2024
Dates & times
- Semester 2
Coordinator Amir Khodabandeh Mode of delivery Dual-Delivery (Parkville) Contact hours 48 hours (Lectures: 2 hours per week; Laboratory Exercises: 2 hours per week) Total time commitment 200 hours Teaching period 25 July 2022 to 23 October 2022 Last self-enrol date 5 August 2022 Census date 31 August 2022 Last date to withdraw without fail 23 September 2022 Assessment period ends 18 November 2022 Semester 2 contact information
Dr Amir Khodabandeh
Time commitment details
200 hours
Last updated: 31 January 2024
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
- 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: 31 January 2024