AR/VR for Data Analysis and Communication PG (11524.1)
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|
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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- Semester 2, 2020, ON-CAMPUS, BRUCE (198570) - View
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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.
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.
Four hours of problem-based learning activities, interactive workshops and practical work in laboratory classes on campus per week.
Working knowledge of programming (e.g. scripting languages), discrete mathematics, algebra and numerical analysis.
11464 AR/VR for Data Analysis and Communication