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Unit Synopsis
In this unit, you will explore how Artificial Intelligence (AI) and the Internet of Things (IoT) come together to create smart, connected systems. You will learn how devices, sensors, and data are used to build intelligent applications that analyse information, detect patterns, and support real-time decision-making. You will gain hands-on experience in designing and implementing AI-enabled IoT solutions, working with sensor data, communication technologies, and cloud or edge platforms. Through practical activities and projects, you will develop applications that address real-world challenges in areas such as smart cities, healthcare, agriculture, and environmental monitoring. You will also consider key factors such as system performance, reliability, and energy use. The unit addresses privacy and ethical issues in intelligent connected systems, supporting responsible technology development. By the end of the unit, you will be able to analyse IoT systems and develop intelligent applications for modern data-driven environments.
Details
| Level | Postgraduate |
|---|---|
| Unit Level | 9 |
| Credit Points | 6 |
| Student Contribution Band | SCA Band 2 |
| Fraction of Full-Time Student Load | 0.125 |
| Pre-requisites or Co-requisites |
COIT20245-Introduction to Programming
Important note: Students enrolled in a subsequent unit who failed their pre-requisite unit, should drop the subsequent unit before the census date or within 10 working days of Fail grade notification. Students who do not drop the unit in this timeframe cannot later drop the unit without academic and financial liability. See details in the Assessment Policy and Procedure (Higher Education Coursework). |
| Class Timetable | View Unit Timetable |
| Residential School | No Residential School |
Unit Availabilities from Term 3 - 2027
Term 3 - 2027 Profile
Attendance Requirements
All on-campus students are expected to attend scheduled classes - in some units, these classes are identified as a mandatory (pass/fail) component and attendance is compulsory. International students, on a student visa, must maintain a full time study load and meet both attendance and academic progress requirements in each study period (satisfactory attendance for International students is defined as maintaining at least an 80% attendance record).
Recommended Student Time Commitment
Each 6-credit Postgraduate unit at CQUniversity requires an overall time commitment of an average of 12.5 hours of study per week, making a total of 150 hours for the unit.
Assessment Tasks
To see assessment details from an earlier availability, please search via a previous term.
This is a graded unit: your overall grade will be calculated from the marks or grades for each assessment task, based on the relative weightings shown in the table above. You must obtain an overall mark for the unit of at least 50%, or an overall grade of ‘pass’ in order to pass the unit. If any ‘pass/fail’ tasks are shown in the table above they must also be completed successfully (‘pass’ grade). You must also meet any minimum mark requirements specified for a particular assessment task, as detailed in the ‘assessment task’ section (note that in some instances, the minimum mark for a task may be greater than 50%).
Past Exams
All University policies are available on the Policy web site, however you may wish to directly view the following policies below.
This list is not an exhaustive list of all University policies. The full list of policies are available on the Policy web site.
Feedback, Recommendations and Responses
Every unit is reviewed for enhancement each year. At the most recent review, the following staff and student feedback items were identified and recommendations were made.
Source: Unit coordinator's reflection
The unit content does not reflect the recent innovations.
The unit effectively addresses key innovations in IoT and related fields. However, given the rapid advancements in this emerging area, updating some of the lecture contents to incorporate recent developments would enhance the unit's relevance and provide greater value to students.
Some lecture content was updated to cover recent developments, providing greater value to students.
Source: Unit Coordinator's reflection
Assessment 1 and Assessment 2 may be susceptible to GenAI influence.
The specification for Assignment 2 was revised in Term 2, 2024 to encourage students to engage in reflection and critical thinking while responding to the questions. This approach aimed to enhance higher-order thinking skills and reduce reliance on generative AI tools. However, the use of GenAI tools was not formally incorporated into the assignment. It is recommended that GenAI tools be incorporated into both Assignment 1 and Assignment 2 in future offerings to help students develop an understanding of how to use GenAI tools ethically and responsibly as part of their learning process.
Assessment 1 and Assignment 3 have incorporated GenAI tools and a practical demonstration, while Assessment 3 has incorporated a poster presentation to promote GenAI and higher-order thinking in the learning process.
Source: Teaching Teams Reflection
Given the rapid advancements in AI within the IoT space, the unit would benefit from incorporating emerging developments in Artificial Intelligence–Integrated Internet of Things (AI-IoT) to ensure the content remains current and industry-relevant.
The content needs to be updated to incorporate emerging developments in IoT, including AI-driven processes and automation.
In Progress
Source: Students feedback and Unit Coordinator's reflection
It is important to align the unit requirements with the unit's assessment and learning outcomes.
The assessment structure and guidelines need to be evaluated against the unit's learning outcomes to ensure consistency across the board.
In Progress
To see Learning Outcomes from an earlier availability, please search via a previous term.