Internet of Things (11511.2)
| 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 unit 11513 Internet of Things PG.
Learning outcomes
After successful completion of this unit, students will be able to:1. Develop a comprehensive understanding of the IoT industry;
2. Apply principles and techniques in varied application domains related to IT and Engineering;
3. Formulate solutions to solve problems related to the fields of IoT and Embedded Systems;
4. Evaluate the current practice and predict future trends; and
5. Demonstrate conversance in key soft skills, such as communication, analysis and inquiry, problem solving, independent and group working, professionalism and social responsibility.
Graduate attributes
1. UC graduates are professional - communicate effectively1. 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 - understand issues in their profession from the perspective of other cultures
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 - reflect on their own practice, updating and adapting their knowledge and skills for continual professional and academic development
Prerequisites
8223 Introduction to Computer EngineeringCorequisites
None.Incompatible units
11513 Internet of Things PGEquivalent units
None.Assumed knowledge
None.| Year | Location | Teaching period | Teaching start date | Delivery mode | Unit convener |
|---|---|---|---|---|---|
| 2024 | Bruce, Canberra | Semester 1 | 05 February 2024 | On-Campus | Mr Alexander Okon |
| 2025 | Bruce, Canberra | Semester 1 | 03 February 2025 | On-Campus | Mr Alexander Okon |
Required texts
[1] F. John Dian, Fundamentals of Internet of Things: For Students and Professionals: For Student, Wiley, 2022.
[2] Simone Cirani, Gianluigi Ferrari, Marco Picone, Luca Veltri, Internet of Things: Architectures, Protocols and Standards, Wiley, 2019.
[3] Pethuru Raj & Anupama C. Raman, The Internet of Things: Enabling Technologies and Use Cases, CRC Press, 2017.
[4] Rajkumar Buyya & Amir Vahid Dastjerdi, The Internet of Things: Principles and Paradigms, Morgan Kaufmann, 2016.
[5] Samuel Greengard, The Internet of Things, MIT Press, 2015.
Submission of assessment items
Extensions & Late submissions
Late submission of the research paper without an approved extension will result in a penalty of 10% reduced marks from the total available, per calendar day late. Research paper submitted over 5 days late will not be accepted.
Special assessment requirements
Normally an aggregate mark of 50% is required to pass the unit.
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 |
a final grade (NX, NC, or NN) |
Academic integrity
Students have a responsibility to uphold University standards on ethical scholarship. Good scholarship involves building on the work of others and use of others' work must be acknowledged with proper attribution made. Cheating, plagiarism, and falsification of data are dishonest practices that contravene academic values. Refer to the University's Student Charter for more information.
To enhance understanding of academic integrity, all students are expected to complete the Academic Integrity Module (AIM) at least once during their course of study. You can access this module within UCLearn (Canvas) through the 'Academic Integrity and Avoiding Plagiarism' link in the Study Help site.
Use of Text-Matching Software
The University of Canberra uses text-matching software to help students and staff reduce plagiarism and improve understanding of academic integrity. The software matches submitted text in student assignments against material from various sources: the internet, published books and journals, and previously submitted student texts.
Learner engagement
| Activity |
Time (hrs) |
| Lectures attending (2*12) |
24 |
| Lectures preparation (2*12) |
24 |
| Tutorials/Labs attending (1*11) |
11 |
| Tutorials/Labs preparation (1*11) |
11 |
| Quiz |
40 |
| Research Paper |
40 |
| Total | 150 |
Participation requirements
Your participation in both class 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.
Your attendance and particiaption in tutorials and labs is mandatory and will be marked.
Required IT skills
Intermediate
Work placement, internships or practicums
N/A
