Programming Natural User Interfaces PG (8891.3)
Available teaching periods | Delivery mode | Location |
---|---|---|
View teaching periods | ||
EFTSL | Credit points | Faculty |
0.125 | 3 | Faculty Of Science And Technology |
Discipline | Study level | HECS Bands |
Academic Program Area - Technology | Post Graduate Level | Band 2 2021 (Commenced After 1 Jan 2021) Band 3 2021 (Commenced Before 1 Jan 2021) |
Learning outcomes
On successfully completing the unit, students will be able to:1. Understand the basics of NUIs;
2. Understand how NUIs are formed and represented;
3. Understand the concepts of fundamental theories in NUI;
4. Write programs for performing NUI tasks;
5. Choose appropriate NUI techniques to solve real-world problems;
6. Understand the relationships between NUI and fields such as biometric recognition, artificial intelligence and pattern recognition;
7. Demonstrate advanced knowledge of NUI programming techniques; and
8. Use NUI components for implementing applications in MS Visual Studio, MS Expression, MS XNA, MS Kinect SDK and MS Surface SDK, and have the confidence to handle the real-world NUI programming problems.
Graduate attributes
1. º¬Ðß²ÝÊÓƵ graduates are professional - use creativity, critical thinking, analysis and research skills to solve theoretical and real-world problems2. º¬Ðß²ÝÊÓƵ graduates are global citizens - make creative use of technology in their learning and professional lives
3. º¬Ðß²ÝÊÓƵ graduates are lifelong learners - reflect on their own practice, updating and adapting their knowledge and skills for continual professional and academic development
Prerequisites
Enrolment in 354JA Master of Engineering OR 846AA Master of Information Technology ORStudents enrolled in 973AA Master of Information Technology and Systems must have completed 8995 Software Technology 1 G OR
Students enrolled in ITM001 Master of Data Science must have completed 11521 Programming for Data Science G.
Corequisites
None.Incompatible units
None.Equivalent units
None.Assumed knowledge
None.Year | Location | Teaching period | Teaching start date | Delivery mode | Unit convener |
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Required texts
Students are not required to buy textbook. Below are websites used in tutorials and lectures
- WPF: https://docs.microsoft.com/en-us/visualstudio/designers/getting-started-with-wpf?view=vs-2019
- Microsoft Cognitive Services (Face, Voice, Text-to-Speech) https://azure.microsoft.com/en-au/services/cognitive-services/
- Channel 9 for Kinect https://channel9.msdn.com/
Submission of assessment items
Extensions & Late submissions
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
For final assessment in the unit, the result will be one of the following grades: HD, DI, CR, P, or Fail (NX, NC or NN).
The final mark is calculated as follows:
Final mark (out of 100) = Total mark of 9 tutorials (out of 27) + Week 7 Test mark (out of 20) + Week 12 Test mark (out of 20) + Final Assignment mark (out of 33)
The final grade for the subject is then determined according to the following table:
85 <= Final mark <= 100 |
Final grade = HD |
75 <= Final mark < 85 |
Final grade = DI |
65 <= Final mark < 75 |
Final grade = CR |
50 <= Final mark < 65 |
Final grade = P |
0 <= Final mark < 50 |
Final grade = FAIL (NX, NC or NN) |
Students must apply academic integrity in their learning and research activities at º¬Ðß²ÝÊÓƵ. 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.
º¬Ðß²ÝÊÓƵ students have to complete the annually to learn about academic integrity and to understand the consequences of academic integrity breaches (or academic misconduct).
º¬Ðß²ÝÊÓƵ 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 º¬Ðß²ÝÊÓƵ (Student Conduct) Rules 2023. For further advice, visit Study Skills.
Learner engagement
The amount of time you will need to spend on study in this unit will depend on a number of factors including your prior knowledge, learning skill level and learning style. Nevertheless, in planning your time commitments you should note that for a 3 credit point unit the total notional workload over the semester or term is assumed to be 150 hours. These hours include time spent in classes. The total workload for units of different credit point value should vary proportionally. For example, for a 6 credit point unit the total notional workload over a semester or term is assumed to be 300 hours.
Activities |
Estimated hours |
Weekly Lecture: 1 hour/week, 12 weeks |
12 |
Weekly Tutorial: 2 hours/week, 11 weeks (and 2 hour in Week 1 for software installation) |
24 |
Weekly study commitment, in addition to the 2 items above: 3 hours/week, 12 weeks |
36 |
Assignments: 78 hours (6 hours/week, 13 weeks) |
78 |
Total |
150 |
Participation requirements
Your participation in both lecture and tutorial 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.
Required IT skills
Common IT skills, such as writing a report electronically, using web browsers, and using Canvas are required.
Work placement, internships or practicums
None