AR/VR for Data Analysis and Communication (11464.1)
Available teaching periods | Delivery mode | Location |
---|---|---|
View teaching periods | On-campus |
Bruce, Canberra |
EFTSL | Credit points | Faculty |
0.125 | 3 | Faculty Of Science And Technology |
Discipline | Study level | HECS Bands |
Academic Program Area - Technology | Level 3 - Undergraduate Advanced Unit | Band 2 2021 (Commenced After 1 Jan 2021) Band 3 2021 (Commenced Before 1 Jan 2021) |
This unit will be co-taught with 11519 AR/VR for Data Analysis and Communication PG.
Learning outcomes
After successful completion of this unit, students will be able to:1. Select and apply suitable AR/VR techniques to visualise and communicate information;
2. Demonstrate 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.
Graduate attributes
1. UC graduates are professional - communicate effectively1. UC graduates are professional - display initiative and drive, and use their organisation skills to plan and manage their workload
1. UC graduates are professional - employ up-to-date and relevant knowledge and skills
1. UC graduates are professional - use creativity, critical thinking, analysis and research skills to solve theoretical and real-world problems
1. UC graduates are professional - work collaboratively as part of a team, negotiate, and resolve conflict
2. UC graduates are global citizens - communicate effectively in diverse cultural and social settings
2. UC graduates are global citizens - make creative use of technology in their learning and professional lives
3. UC graduates are lifelong learners - adapt to complexity, ambiguity and change by being flexible and keen to engage with new ideas
3. UC graduates are lifelong learners - evaluate and adopt new technology
3. UC graduates are lifelong learners - reflect on their own practice, updating and adapting their knowledge and skills for continual professional and academic development
Prerequisites
11372 Introduction to Data ScienceCorequisites
None.Incompatible units
11519 AR/VR for Data Analysis and Communication PGEquivalent units
None.Assumed knowledge
Working knowledge of programming (e.g. scripting languages), discrete mathematics, algebra and numerical analysis.Year | Location | Teaching period | Teaching start date | Delivery mode | Unit convener |
---|---|---|---|---|---|
2024 | Bruce, Canberra | Semester 2 | 29 July 2024 | On-campus | Dr Raul Fernandez Rojas |
2025 | Bruce, Canberra | Semester 2 | 28 July 2025 | On-campus | Dr Raul Fernandez Rojas |
Required texts
There is no required textbook for this unit. However, the following are recommended readings that are a companion for the concepts taught in this unit.
Recommended:
"The VR book. Human-Centered Design for Virtual Reality" by Jason Jerald
"Practical Augmented Reality" by Steve Aukstakalnis
Submission of assessment items
Extensions & Late submissions
Assignments are meant to be individual work, although talking a problem over with another student or tutor is considered one reasonable way of learning. However, the actual submitted assignment must be the student's own work. Students are expected to familiarise themselves with the University's Student Charter /Policies/PolicyProcedure/Index/200. Experience has shown that students who do not do their own work are unlikely to pass the exam (and therefore the unit).
Assignment submissions will be assessed for addressing the specific requirements of each assignment, as stated in the assignment descriptions. Assignment submissions will receive a numerical mark, which together in their entirety with the other assessment items (tests, exam) define a student's final grade as outlined in this section.
Extensions: Extensions must be applied for before the due date.
Students can apply for an extension to the due date for submission of an assessment item on the grounds of illness or other unavoidable and verifiable personal circumstances as described under "Acceptable Grounds for Approval" at . Documentary evidence will be expected in order that an extension be granted. Applications need to use the above mentioned Assignment Extension form.
It should be noted that such documentation will be considered but will not guarantee that the application will be successful. The Unit Convenor will decide whether to grant an extension and the length of the extension.
Responsibility for understanding
If there is any doubt with regard to the requirements of any particular assignments or assessment procedure, the onus for clarifying the issue rests with the student who should contact the unit convenor or tutor. Further, it is the responsibility of students to ensure that they are correctly enrolled in the unit and that the tutor and Student Administration have their correct contact details.
Special assessment requirements
In AR/VR for Data Analysis and Communication, students are required to satisfactorily complete two assignments (i.e. minimum 25% in each of the two assignments) and to perform satisfactorily in the final assessment. The weighting of each assessment item is listed in the assessment item description.
To obtain a particular grade in this unit, it is necessary that there are no outstanding submissions at the end of week 14. The unit convener reserves the right to question students orally on any of their submitted work.
All assessment items will receive a numerical mark. The final grade will be determined as a weighted average of the individual assessment items.
To be awarded a particular grade in AR/VR for Data Analysis and Communication, students must meet the following requirements as set out below. All grades are conditional upon the following minimum requirements:
- Minimum 25% of available marks in each of the two assignments (paper critique and project on data visualisation), and
- Minimum 50% of available marks in the final assessment.
Grade |
Assignments + Quiz + Final Assessment |
Pass |
Minimum 50% of combined weighted marks of all assessment items |
Credit |
Minimum 65% of combined weighted marks of all assessment items |
Distinction |
Minimum 75% of combined weighted marks of all assessment items |
High Distinction |
Minimum 85% of combined weighted marks of all assessment items |
The unit convener reserves the right to modify the marking as required.
The unit convenor reserves the right to question students on any of their submitted work for moderation and academic integrity purposes, which may result in an adjustment to the marks awarded for a specific task.
Supplementary assessment
Students who miss the final assessment due to illness or other acceptable grounds (see link below) will be given a new assessment. A doctor's certificate stating why the student was not able to sit for the exam or other required evidence should be given to Student Central (Bldg. 1) as soon as possible - generally within 3 days of the assessment. See Assessment Policy /Policies/PolicyProcedure/Index/331 and Assessment Procedures /Policies/PolicyProcedure/Index/369 for more details.
Students must apply academic integrity in their learning and research activities at UC. This includes submitting authentic and original work for assessments and properly acknowledging any sources used.
Academic integrity involves the ethical, honest and responsible use, creation and sharing of information. It is critical to the quality of higher education. Our academic integrity values are honesty, trust, fairness, respect, responsibility and courage.
UC students have to complete the annually to learn about academic integrity and to understand the consequences of academic integrity breaches (or academic misconduct).
UC uses various strategies and systems, including detection software, to identify potential breaches of academic integrity. Suspected breaches may be investigated, and action can be taken when misconduct is found to have occurred.
Information is provided in the Academic Integrity Policy, Academic Integrity Procedure, and 69ÂÜÀò (Student Conduct) Rules 2023. For further advice, visit Study Skills.
Learner engagement
Expected Average Student Workload: * denotes an assessable item
Lectures (online) | 12x 2h | = 24h |
Tutorials / Computer laboratory classes | 11x 2h | = 22h |
Preparation (lectures, computer labs, unsupervised activities) | 12x 3h | = 36h |
* Assignment 1 - Paper Critique | = 23h | |
* Assignment 2 - Data Visualisation | = 30h | |
* Online Quiz | = 5h | |
* Final Assessment (preparation) | = 10h |
Total 150 hours
Participation requirements
Your participation in both class (lecture, tutorial/computer laboratory classes) and online activities will enhance your understanding of the unit content and therefore the quality of your assessment responses. Lack of participation may result in your inability to satisfactorily pass assessment items. Experience has shown that students who do not attend the classes and/or do not engage with the online content will have difficulty in passing the subject.
Required IT skills
Fundamental R programming concepts (or other computer languages, eg., Python, Matlab, C++), usage of Windows computers.
This unit may involve online meetings in real time using the Virtual Room in your UCLearn teaching site. The Virtual Room allows you to communicate in real time with your lecturer and other students. To participate verbally, rather than just typing, you will need a microphone. For best audio quality we recommend a microphone and speaker headset. For more information and to test your computer, go to the Virtual Room in your UCLearn site and 'Join Course Room'. This will trigger a tutorial to help familiarise you with the functionality of the virtual room.
In-unit costs
2x USB thumb drives and consumables
Work placement, internships or practicums
Not applicable to this unit
Additional information
In all cases of absence, sickness or personal problems, it is the student's responsibility to ensure that the unit convenor is informed. The minimum participation requirement must be met in order to pass the unit (regardless of supporting documentation).
It is important that students refer to unit website (through UCLearn – UC's online learning environment) on a regular basis for any variations in the schedule and deadlines for the assessment tasks, which will be announced on the Unit Website. It is also the student's responsibility to ensure that they regularly check their UC email account, as electronic messages (whether via the unit's UCLearn site or directly) will be sent to this account.
The online discussion forum on the unit's UCLearn site is as very useful place for posting questions and students are strongly encouraged to make use of it.