Information Visualisation (11069.1)
Level: | Level 3 - Undergraduate Advanced Unit |
---|---|
Credit Points: | 3 |
HECS Bands: | Band 2 2013-2020 (Expires 31 Dec 2020) Band 2 2021 (Commenced After 1 Jan 2021) Band 3 2021 (Commenced Before 1 Jan 2021) |
Faculty: | Faculty of Arts and Design |
Discipline: | School of Design and the Built Environment |
Availability
-
UC - Canberra, Bruce
Year Teaching Period Convener Mode of Delivery 2021 Semester 2 DR Ben ENNIS BUTLER (Ph: +61 2 62012167 ) ONLINE 2021 Semester 2 DR Ben ENNIS BUTLER (Ph: +61 2 62012167 ) ON-CAMPUS -
UC - TAFE Queensland, South Bank
Year Teaching Period Convener Mode of Delivery 2021 Semester 2 Mrs Ola PAK (Ph: ) ON-CAMPUS
Possible changes to your unit's learning activities and assessment items
As a result of the Australian Government's and or the ACT Government’s directives requiring physical distancing and restrictions on movement because of the COVID-19 pandemic, you may find that learning activities and/or assessment items in some units you are studying have changed. These changes will not be updated in the published Unit Outline but will be communicated to you via your unit’s UCLearn(Canvas) teaching site. The new learning activities and/or assessment items will continue to meet the unit's learning outcomes, as described in the Unit Outline.
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Unit Outlines
To view your Unit Outline, click View to log in to MyUC and access this information, or visit your unit's online teaching site.
- Semester 2, 2020, ONLINE, BRUCE (195508) - View
- Semester 2, 2020, ON-CAMPUS, BRUCE (195507) - View
- Semester 2, 2019, ONLINE, BRUCE (192020) - View
- Semester 2, 2019, ON-CAMPUS, BRUCE (184200) - View
- Winter Term, 2019, ON-CAMPUS, BRUCE (192509) - View
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Syllabus
We live in a society that is both information rich and time poor. There is a high demand for visual designers who are comfortable with the world of big data, who can pick out patterns and stories embedded in big data and present it in enticing and informative ways. In this unit students will learn fundamental principles and skills in representing complex data into meaningful visuals, both static and dynamic; that can be quickly digested and understood by a global audience.
Learning Outcomes
After successful completion of this unit, students will be able to:
1. Identify and critique key visualisation theories;
2. Select and apply appropriate visualisation techniques through the creation of works that are informative and accurate; and
3. Produce innovative interactive and dynamic data visualisation projects using real-world data.
Assessment Items
Contact Hours
Three hours on-campus of interactive workshops with project based activities per week.
Prerequisites
18 credit points from SM0012 Specialist Major in Visual Communication Design AND 12 credit points from CM0003 Core Major in Design.
Corequisites
None.
Assumed Knowledge
None.
Incompatible Units
None.
Equivalent Units
None.
Referenced Courses
- MGAR02 Bachelor of Business/ Bachelor of Design
- ARB203 Bachelor of Design (Visual Communication Design)
- ARAR02 Bachelor of Design/Bachelor of Communication and Media
- ARB303 Bachelor of Digital Design (Visual Communication Design)
- SCAR03 Bachelor of Laws/Bachelor of Design
- SCAR04 Bachelor of Politics and International Relations/Bachelor of Design