Note: This is an archived Handbook entry from 2011.
|Dates & Locations:|| |
This subject is not offered in 2011.
|Time Commitment:||Contact Hours: 2 x one hour lectures per week; 1 x two hour workshop per week. |
Total Time Commitment: Estimated total time commitment of 120 hours
|Prerequisites:||75 points of first year studies.|
|Recommended Background Knowledge:||Experience in using Web-based applications is assumed together with competency in using generic software tools.|
|Non Allowed Subjects:||None|
|Core Participation Requirements:||For the purposes of considering request for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Students Experiencing Academic Disadvantage Policy, academic requirements for this subject are articulated in the Subject Description, Subject Objectives, Generic Skills and Assessment Requirements of this entry. |
The University is dedicated to provide support to those with special requirements. Further details on the disability support scheme can be found at the Disability Liaison Unit website: http://www.services.unimelb.edu.au/disability/
Creating engaging and interactive representations of large sets of data (numeric, text, relationships) is crucial in areas of science, business and governance. But how can you present those data in ways that engage and excite your audience? What role can interactivity play to help people explore your data?
The visualisation of data and concepts is of great importance in science, serving both as a means of investigation and also a means of communicating to other scientists, business, government and the public. Students should learn the principles of visualisation design, and gain an understanding of the following topics: categories and concepts of data and their mapping to visual displays; the nature and purpose of different types of data plots, diagrams and other visual representations; the psychology of decision-making in relation to visualisation, including systematic distortions and manipulations of perception; and historic and contemporary uses of visualisation and its role in the creation and dissemination of new knowledge. Students should learn how to apply this knowledge to the design of effective visualisations for various audiences.
|Objectives:||On completion of this subject students should: |
Weekly participation during lectures and workshops throughout the semester (discussions and online submissions 20%).
Project 1: Group Report. The visual analysis of data sets expected to take about 14 hours (20%) due during the first part of the semester.
Project 2: Individual Report. A visualisation project expected to take about 22 hours (25%) due near the end of the semester. It will include an oral presentation.
Peer review: Aspects of students’ work will be reviewed by other students using an anonymous peer review process (5%).
Exam: 2-hour end-of-semester written examination (30%). A pass in the examination is a hurdle requirement for this subject.
Spence, R. Information Visualization: A Design for Interaction Pearson/Prentice Hall. 2nd Edition 2007
|Breadth Options:|| |
This subject potentially can be taken as a breadth subject component for the following courses:
You should visit learn more about breadth subjects and read the breadth requirements for your degree, and should discuss your choice with your student adviser, before deciding on your subjects.
|Fees Information:||Subject EFTSL, Level, Discipline & Census Date|
On completion of this subject students should have developed the following generic skills:
This subject is available for science credit to students enrolled in the BSc (both pre-2008 and new degrees), BASc or a combined BSc course.
Students undertaking this subject will be expected to regularly access an internet-enabled computer.
Bachelor of Science |
Science credit subjects* for pre-2008 BSc, BASc and combined degree science courses |
|Related Breadth Track(s):||
Informatics B |
Working with Information
Human Centred Computing
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