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 |
| School Of Information Technology & Systems | 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 - make creative use of technology in their learning and professional lives
2. UC graduates are global citizens - think globally about issues in their profession
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 |
|---|---|---|---|---|---|
| 2026 | Bruce, Canberra | Semester 1 | 16 February 2026 | On-campus | Mr Alexander Okon |
| 2027 | Bruce, Canberra | Semester 1 | 15 February 2027 | 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
Artificial Intelligence (AI)
Guided - Students will be guided on how GenAI must/may be used in completing the assessments as detailed in the unit outline and assessment instructions. More detailed information can be found at GenAI and Assessment at UC.
Please refer to each assessment item description on the unit's teaching site to determine where the use of AI and GenAI is permitted (and how so) and where it is prohibited. Any use of AI and GenAI must be appropriately acknowledged and referenced and must comply with what is permitted in the relevant assessment description. Further guidance is available in the Referencing GenAI guide and full assessment details in the unit's Canvas teaching site.
Extensions
Students can apply for an extension to the submission due date for an assessment item due to extenuating, evidenced circumstances (specific details are found in the Assessment Procedures). An extension must be applied for before the due date. Documentary evidence (e.g. medical certificate) will be expected for an extension to be granted, however this will not guarantee that the application will be successful. The Unit Convener or relevant Program Director/Course Convener will decide whether to grant an extension and the length of the extension.
An Assignment Extension form is available from the Student Forms page.
Late submissions
The following late submission period and penalty is applicable to any teaching period commencing after 1 April 2024.
To support the provision of timely feedback to students within the unit, late penalties will apply for summative assessments where late submission is permitted. Late submissions without an approved extension or reasonable adjustment will result in a penalty of a mark reduction of 10% of the maximum available marks for the assessment item per day (or part thereof) up to and including three calendar days. If a student submits more than three calendar days late without an approved extension or reasonable adjustment, the student will be allocated a mark of zero for that assessment, with no feedback provided.
Approval of extensions based on extenuating circumstances will be dependent upon the production of supporting documentation and at the discretion of the unit convener.
For teaching periods commencing prior to 1 April 2024, a late penalty of 5 % of the maximum available marks for the assessment item per day (or part thereof) was applied up to and including seven calendar days. An assignment submitted over 7 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) |
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 Academic Integrity Module 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 University of Canberra (Student Conduct) Rules 2023. For further advice, visit Study Skills.
Learner engagement
| Activity |
Time (hrs) |
| Lectures preparation (1*12) |
12 |
| Lectures attending (2*12) |
24 |
| Online Quiz |
10 |
| Cisco IoT Certification |
12 |
| IoT Challenge Project preparation (2*11) |
22 |
| IoT Challenge Project implementation (2*11) |
22 |
| Research Paper |
48 |
| Total |
150 |
Participation requirements
Active participation in both class and online activities will strengthen your understanding of the unit content and improve the quality of your assessment responses. Limited participation may affect your ability to successfully complete assessment requirements.
Required IT skills
Intermediate
Work placement, internships or practicums
N/A
