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Information Visualisation (GEOM90007)
Graduate courseworkPoints: 12.5Online
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About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
Semester 2
Davood Shojaei
email: shojaeid@unimelb.edu.au
Overview
Availability | Semester 2 - Online |
---|---|
Fees | Look up fees |
AIMS
Information Visualisation is about using and designing effective mechanisms for presenting and exploring the patterns embedded in large and complex data sets, and to support decision making. Information Visualisation is important in a range of domains dealing with voluminous data rich in structure, among them, prominently, data in the spatial domain or data referenced to the spatial domain. Through its focus on presentation and interaction with spatial information, this subject complements related subjects that deal with the storage and querying of data (database subjects such as GEOM90018 Spatial Databases), and the processing of data (data analytics subjects such as GEOM90006 Spatial Analysis). This subject is vital for anyone wishing to work with large datasets. It will also be of relevance to those with an interest in design, especially graphical and interaction design.
INDICATIVE CONTENT
- Fundamentals of information visualisation and data graphics;
- Visual thinking, human sensing and perception;
- Foundations of data graphics and cartography;
- Graphical user interface design;
- Human Computer Interaction and Human Centred Design.
The lecture materials are also supported with several labs to develop student experience in this domain.
Intended learning outcomes
On completion of this subject the student is expected to:
- ILO 1. Apply the cognitive and technical principles of information visualisation across various domains
- ILO 2. Critically evaluate the designs of maps and user interfaces for spatial information visualisation;
- ILO 3. Analyse big spatial data sets using data visualisation and geovisualisation techniques
Generic skills
On successful completion of this subject students should have the:
- Ability to apply knowledge of science and engineering fundamentals
- Ability to undertake problem identification, formulation, and solution
- Ability to communicate effectively, with the engineering team and with the community at large
- Capacity for creativity and innovation
- Understanding of professional and ethical responsibilities, and commitment to them.
Last updated: 12 November 2022
Eligibility and requirements
Prerequisites
None
Corequisites
None
Non-allowed subjects
None
Recommended background knowledge
Code | Name | Teaching period | Credit Points |
---|---|---|---|
GEOM90008 | Foundations of Spatial Information |
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
|
12.5 |
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: 12 November 2022
Assessment
Description | Timing | Percentage |
---|---|---|
Written Assignment- One individual assignment on using data for static information visualisation. Addresses the Intended Learning Outcomes (ILOs) 1 and 3.
| Week 4 | 10% |
One individual assignment on using data for dynamic information visualisation. Addresses Intended Learning Outcomes (ILOs) 1 and 3.
| Week 8 | 20% |
Mid-semester exam of 60 minutes. Addresses ILOs 1-3.
| Week 9 | 25% |
Group-based deliverable of a video presentation of the group project (10 minutes). Addresses ILOs 1-3.
| Week 12 | 15% |
Group-based deliverable of an implementation and a description of the implementation in a report. Addresses ILOs 1-3.
| During the examination period | 30% |
Additional details
Subject will be offered online.
Last updated: 12 November 2022
Dates & times
- Semester 2 - Online
Coordinator Davood Shojaei Mode of delivery Online Contact hours 24 hours of lectures, 24 hours practical work. 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
Davood Shojaei
email: shojaeid@unimelb.edu.au
Time commitment details
200 hours
Last updated: 12 November 2022
Further information
- Texts
Prescribed texts
Recommended texts and other resources
- Tufte, E. (2001). The Visual Display of Quantitative Information. Graphics Press.
- Ward, M., Grinstein, G., and Keim, D. (2010). Interactive Data Visualization: Foundations, Techniques, and Applications. A K Peters.
- Dykes, J., MacEachren, A., Kraak, M-J. (2005). Exploring Geovisualization. Pergamon.
- Subject notes
LEARNING AND TEACHING METHODS
Lectures will cover the foundation concepts and techniques important to understanding the design and analysis of visual and cartographic data presentation. In practical work, students will gain hands-on experience with a range of visualisation tools and techniques using R. Also other practical development tools, like the Processing language, will be applied to a range of spatial visualisation problems, including an international visualisation challenge.
INDICATIVE KEY LEARNING RESOURCES
- Tufte, E. (2001). The Visual Display of Quantitative Information. Graphics Press.
- Ward, M.; Grinstein, G., and Keim, D. (2010) Interactive Data Visualization: Foundations, Techniques, and Applications. A K Peters.
- Dykes, J., MacEachren, A., Kraak, M-J. (2005). Exploring Geovisualization. Pergamon.
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 Data Science Course Ph.D.- Engineering Course Doctor of Philosophy - Engineering Course Master of Philosophy - 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: 12 November 2022