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Advanced Imaging (GEOM90038)
Graduate courseworkPoints: 12.5Online and On Campus (Parkville)
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable (login required)(opens in new window)
Contact information
Semester 1
Semester 1
Kourosh Khoshelham
email: k.khoshelham@unimelb.edu.au
Overview
Availability | Semester 1 - Online Semester 1 - On Campus |
---|---|
Fees | Look up fees |
This subject will introduce students to advanced imaging technologies and the methods for extracting quantitative information from multi-source imagery. This subject builds on the knowledge of subjects such as imaging the environment, by considering multi-source images of the target to provide additional information such as the distance from the target to object from which a three-dimensional representation can be constructed. It also considers imaging of targets where illumination is provided by the instrument rather than natural light reflection or radiation from the target. Students who successfully complete this subject may find work in a variety of remote sensing or specialist consultancies or agencies. The techniques learnt may also be applied to other industries such as quality control in manufacturing or recording of archaeological sites.
The subject is of particular relevance to students wishing to establish a career in infrastructure engineering, civil engineering, property management, surveying, spatial information and urban planning but is also relevant to a range of disciplines where 3D building information should be considered.
Intended learning outcomes
On completion of this subject the students should be able to:
- Describe the characteristics of image data obtained from reality capture sensors.
- Design the appropriate data acquisition techniques for capturing various infrastructures.
- Apply image processing methods to retrieve three dimensional spatial information from imagery.
- Evaluate the accuracy of adopted process and derived spatial information.
Generic skills
- Ability to apply knowledge of science and engineering fundamentals
- Ability to undertake problem identification, formulation and solutions
- Ability to communicate effectively, with the engineering team and with the community at large
- Ability to manage information and documentation
- Ability to perform geometric operations such as trigonometry
- Ability to capture imagery
- Ability to work with computer software
Last updated: 31 January 2024
Eligibility and requirements
Prerequisites
None
Corequisites
None
Non-allowed subjects
None
Recommended background knowledge
A general understanding of spatial information and basic mathematical and computer skills needed for processing spatial data.
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 |
---|---|---|
Four written assignments each requiring approximately 12 hours of work (equivalent of 800 words each) and partly completed in laboratory classes. 15% each, 60% total. Intended Learning Outcomes (ILOs) 2, 3 and 4 are addressed in this assessment.
| Due in weeks 3, 6, 9, 12. | 60% |
One in-class test, 10%. ILOs 1 and 4 are addressed in this assessment.
| Due between weeks 5 and 8 | 10% |
One final exam, end of semester. ILOs 1 and 4 are addressed in this assessment.
| During the examination period | 30% |
Last updated: 31 January 2024
Dates & times
- Semester 1 - Online
Coordinator Kourosh Khoshelham Mode of delivery Online Contact hours 48 Hours (Lectures: 24 hours per semester; Labs/assignments: 24 hours per semester) Total time commitment 200 hours Teaching period 26 February 2024 to 26 May 2024 Last self-enrol date 8 March 2024 Census date 3 April 2024 Last date to withdraw without fail 3 May 2024 Assessment period ends 21 June 2024 Semester 1 contact information
- Semester 1 - On Campus
Coordinator Kourosh Khoshelham Mode of delivery On Campus (Parkville) Contact hours 48 Hours (Lectures: 24 hours per semester; Labs/assignments: 24 hours per semester) Total time commitment 200 hours Teaching period 26 February 2024 to 26 May 2024 Last self-enrol date 8 March 2024 Census date 3 April 2024 Last date to withdraw without fail 3 May 2024 Assessment period ends 21 June 2024 Semester 1 contact information
Kourosh Khoshelham
email: k.khoshelham@unimelb.edu.au
Time commitment details
200 hours
What do these dates mean
Visit this webpage to find out about these key dates, including how they impact on:
- Your tuition fees, academic transcript and statements.
- And for Commonwealth Supported students, your:
- Student Learning Entitlement. This applies to all students enrolled in a Commonwealth Supported Place (CSP).
Subjects withdrawn after the census date (including up to the ‘last day to withdraw without fail’) count toward the Student Learning Entitlement.
Additional delivery details
The online offering of this subject is only available to international students not within Australia that are studying Graduate Certificate in Digital Engineering (Infrastructure)
Enrolment in the online availability of this subject will be centrally managed.
Last updated: 31 January 2024
Further information
- Texts
Prescribed texts
There are no specifically prescribed or recommended texts for this subject.
- Subject notes
LEARNING AND TEACHING METHODS
Lectures and guided practical assignments.
INDICATIVE KEY LEARNING RESOURCES
Online interactive tutorials.
CAREERS / INDUSTRY LINKS
Practical context and industry links are provided in the problem-based learning exercises.
- Related Handbook entries
This subject contributes to the following:
Type Name Course Master of Environmental Engineering Course Doctor of Philosophy - Engineering Course Ph.D.- Engineering Course Master of Computer Science Course Graduate Certificate in Digital Engineering (Infrastructure) Course Master of Civil Engineering Course Master of Philosophy - Engineering Course Master of Digital Infrastructure Engineering 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.
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
This subject is available to students studying at the University from eligible overseas institutions on exchange and study abroad. Students are required to satisfy any listed requirements, such as pre- and co-requisites, for enrolment in the subject.
Last updated: 31 January 2024