AR/VR for Data Analysis and Communication PG (11524.1)
| Level: | Postgraduate Level |
|---|---|
| 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 Science and Technology |
| Discipline: | Academic Program Area - Technology |
Availability
-
UC - Canberra, Bruce
Year Teaching Period Convener Mode of Delivery 2021 Semester 2 DR Raul FERNANDEZ ROJAS (Ph: +61 2 62068246 ) ON-CAMPUS
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Unit Outlines
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- Semester 2, 2020, ON-CAMPUS, BRUCE (198570) - View
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Syllabus
With the confluence of various technologies in the 21st century - underpinned by AI, the principles of human-machine interaction, data analysis and modelling - the use of Augmented Reality (AR) and Virtual Reality (VR) plays an important role in business, education and entertainment. This unit introduces students to AR/VR technology and its appropriate use in data analysis and for the communication of information. AR/VR take traditional media types (images, videos, text, audio) and interaction scenarios into a new medium for applications in data science, engineering, IT, education, marketing, healthcare, entertainment and many more. This unit provides hands-on experience in developing and applying AR/VR technology for a range of real-world scenarios. Students will gain both an understanding of the theoretical foundations as well as practical experience in implementing and using AR/VR technology on industry-related examples.
This unit will be co-taught with 11464 AR/VR for Data Analysis and Communication.
Learning Outcomes
After successful completion of this unit, students will be able to:
1. Select and apply advanced AR/VR techniques to visualise and communicate information;
2. Demonstrate strong competency in using AR/VR technology to analyse complex data;
3. Understand, describe and critique AR/VR technology for a variety of application scenarios; and
4. Design and implement interactive AR/VR solutions based on advanced human-machine interface principles.
Assessment Items
Contact Hours
Four hours of problem-based learning activities, interactive workshops and practical work in laboratory classes on campus per week.
Prerequisites
None.
Corequisites
None.
Assumed Knowledge
Working knowledge of programming (e.g. scripting languages), discrete mathematics, algebra and numerical analysis.
Incompatible Units
11464 AR/VR for Data Analysis and Communication
Equivalent Units
None.