COIT29226 - Introduction to the Internet of Things

General Information

Unit Synopsis

The Internet of Things (IoT) is a collection of networked sensors that feed information to applications to make smart decisions. In this unit, you will learn the fundamentals of the IoT as well as the opportunities IoT brings to the connected smart world. This unit will develop your understanding of the hardware and software components of IoT systems, including sensors, gateways, and applications, as well as the network protocols used to communicate between devices. You will learn to store and present IoT data using a dashboard, and learn of the challenges associated with the proliferation of IoT, such as standardisation of communication protocols, reliability, and sustainability, and identify how they impact future IoT deployments. Finally, the unit will cover privacy, security and ethical issues raised by the connected smart world of IoT.

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

Pre-requisite: 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).

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Residential School No Residential School

Unit Availabilities from Term 3 - 2024

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Term 1 - 2026 Profile
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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).

Assessment Overview

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

Assessment Task Weighting
1. Written Assessment 20%
2. Group Work 30%
3. Project (applied) 50%

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%).

Consult the University's Grades and Results Policy for more details of interim results and final grades

Past Exams

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Previous Feedback

Term 2 - 2023 : The overall satisfaction for students in the last offering of this course was 60.00% (`Agree` and `Strongly Agree` responses), based on a 31.25% response rate.

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: SUTE unit comments.
Feedback
Students found the practical implementation parts of the unit fascinating and engaging.
Recommendation
Maintain the current focus on the practical implementation based activities/assessments in the unit.
Action Taken
The focus on the practical implementation based activities/assessments in the unit has been maintained for consistency.
Source: Unit Coordinator's reflection.
Feedback
The IoT infrastructure used in the unit for the practical parts can only cater for a smaller cohort, and will not be sufficient when enrolments grow.
Recommendation
Consider scaling up the IoT infrastructure used in the unit.
Action Taken
CQU has established a scalable IoT network with a CQU-hosted server. The Unit Coordinator has updated lab materials with hands-on exercises to ensure students obtain practical experience from the set-up IoT network.
Source: Unit Coordinator's reflection, and feedback from students during class
Feedback
Some students struggled to access and visualise the sensor data from NodeRED installed in the lab computers.
Recommendation
The newly deployed scalable IoT network needs to be further fine-tuned and Node-RED needs to be updated in the lab computers to ensure better accessibility of sensor data.
Action Taken
In Progress
Unit learning Outcomes

On successful completion of this unit, you will be able to:

  1. Evaluate the concepts and the technologies of IoT
  2. Analyse IoT devices, sensor types, protocols and standards appropriate in different scenarios
  3. Design and develop an IoT network dashboard for presenting live data for social and business solutions
  4. Evaluate the ethical and security concerns related to IoT technologies.

The Australian Computer Society (ACS) recognises the Skills Framework for the Information Age (SFIA). SFIA is adopted by organisations, governments and individuals in many countries and provides a widely used and consistent definition of ICT skills. SFIA is increasingly being used when developing job descriptions and role profiles. ACS members can use the tool MySFIA to build a skills profile.

This unit contributes to the following workplace skills as defined by SFIA 7 (the SFIA code is included):

  • Network Design(NTDS)
  • Systems Design (DESN)
  • System Integration and Build (SINT)
  • Application Support (ASUP)
  • Solution architecture (ARCH)
  • IT Infrastructure (ITOP)

Alignment of Assessment Tasks to Learning Outcomes
Assessment Tasks Learning Outcomes
1 2 3 4
1 - Written Assessment • • •
2 - Group Work • • •
3 - Project (applied) • •
Alignment of Graduate Attributes to Learning Outcomes
• Professional Level
• Advanced Level
Graduate Attributes Learning Outcomes
1 2 3 4
1 - Knowledge • • • •
2 - Communication • •
3 - Cognitive, technical and creative skills • • •
4 - Research •
6 - Ethical and Professional Responsibility • •
Alignment of Assessment Tasks to Graduate Attributes
• Professional Level
• Advanced Level
Assessment Tasks Graduate Attributes
1 2 3 4 5 6 7 8
1 - Written Assessment • • •
2 - Group Work • • • •
3 - Project (applied) • • •