CQUniversity Unit Profile
COIT29226 Introduction to the Internet of Things
Introduction to the Internet of Things
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The information will not be changed unless absolutely necessary and any change will be clearly indicated by an approved correction included in the profile.
General Information

Overview

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

Career Level: Postgraduate
Unit Level: Level 9
Credit Points: 6
Student Contribution Band: 8
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).

Offerings For Term 2 - 2024

Brisbane
Melbourne
Online
Sydney

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).

Class and 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.

Class Timetable

Bundaberg, Cairns, Emerald, Gladstone, Mackay, Rockhampton, Townsville
Adelaide, Brisbane, Melbourne, Perth, Sydney

Assessment Overview

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

Assessment Grading

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.

Previous Student Feedback

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.

Feedback from 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.

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 Learning Outcomes, Assessment and Graduate Attributes
N/A Level
Introductory Level
Intermediate Level
Graduate Level
Professional Level
Advanced Level

Alignment of Assessment Tasks to Learning Outcomes

Assessment Tasks Learning Outcomes
1 2 3 4
1 - Written Assessment - 20%
2 - Group Work - 30%
3 - Project (applied) - 50%

Alignment of Graduate Attributes to Learning Outcomes

Graduate Attributes Learning Outcomes
1 2 3 4
1 - Knowledge
2 - Communication
3 - Cognitive, technical and creative skills
4 - Research
5 - Self-management
6 - Ethical and Professional Responsibility
7 - Leadership
8 - Aboriginal and Torres Strait Islander Cultures

Alignment of Assessment Tasks to Graduate Attributes

Assessment Tasks Graduate Attributes
1 2 3 4 5 6 7 8
1 - Written Assessment - 20%
2 - Group Work - 30%
3 - Project (applied) - 50%
Textbooks and Resources

Textbooks

Supplementary

IoT security- Advances in Authentication

1st edition (2020)
Authors: Madhusanka Liyanage, An Braeken, Pradeep Kumar, Mika Ylianttila
Wiley
ISBN: 9781119527923
Binding: eBook
Supplementary

The Internet of Things- Foundation for smart cities, eHealth and Ubiquitous computing

1st edition (2018)
Authors: Ricardo Armentana, Robin Singh Bhadoria, Parag Chatterjee, Ganesh Chandra Deka
Taylor and Francis
ISBN: 978-1-4987-8902-8
Binding: eBook
Supplementary

The Internet of Things- from Data to insight

1st edition (2020)
Authors: John Davies and Carolina Fortuna
Wiley
ISBN: 9781119545262
Binding: eBook

IT Resources

You will need access to the following IT resources:
  • CQUniversity Student Email
  • Internet
  • Unit Website (Moodle)
  • Node.js and NODE-RED
  • Grafana
  • InfluxDB
Referencing Style

All submissions for this unit must use the referencing style: Harvard (author-date)

For further information, see the Assessment Tasks.

Teaching Contacts
Nahina Islam Unit Coordinator
n.islam@cqu.edu.au
Schedule
Week 1 Begin Date: 08 Jul 2024

Module/Topic

Introduction to IoT- definition, applications, architecture

Chapter

Multiple resources as mentioned in the lecture slides.

Events and Submissions/Topic

Week 2 Begin Date: 15 Jul 2024

Module/Topic

Communication technologies for IoT

Chapter

Multiple resources as mentioned in the lecture slides.

Events and Submissions/Topic

Week 3 Begin Date: 22 Jul 2024

Module/Topic

Energy harvesting IoT (EH-IoT)

Chapter

Multiple resources as mentioned in the lecture slides.

Events and Submissions/Topic

Week 4 Begin Date: 29 Jul 2024

Module/Topic

Drone assisted IoT (Drones serving IoT: Mobile data collector)

Chapter

Multiple resources as mentioned in the lecture slides.

Events and Submissions/Topic

Week 5 Begin Date: 05 Aug 2024

Module/Topic

Internet of Drones (IoD)

Chapter

Multiple resources as mentioned in the lecture slides.

Events and Submissions/Topic

Assignment-1 Individual work Due: Week 5 Friday (9 Aug 2024) 11:45 pm AEST
Vacation Week Begin Date: 12 Aug 2024

Module/Topic

Chapter

Events and Submissions/Topic

Week 6 Begin Date: 19 Aug 2024

Module/Topic

Framework of IoT

 

Chapter

Multiple resources as mentioned in the lecture slides.

Events and Submissions/Topic

Week 7 Begin Date: 26 Aug 2024

Module/Topic

IoT gateway and edge computing

 

Chapter

Multiple resources as mentioned in the lecture slides.

Events and Submissions/Topic

Week 8 Begin Date: 02 Sep 2024

Module/Topic

Edge computing to cloud

 

Chapter

Multiple resources as mentioned in the lecture slides.

Events and Submissions/Topic

Assignment-2 Due: Week 8 Friday (6 Sept 2024) 11:45 pm AEST
Week 9 Begin Date: 09 Sep 2024

Module/Topic

Convergence of traditional network and IoT

Chapter

Multiple resources as mentioned in the lecture slides.

Events and Submissions/Topic

Week 10 Begin Date: 16 Sep 2024

Module/Topic

Use cases of IoT

Chapter

Multiple resources as mentioned in the lecture slides.

Events and Submissions/Topic

Week 11 Begin Date: 23 Sep 2024

Module/Topic

IoT security and data privacy

Chapter

Multiple resources as mentioned in the lecture slides.

Events and Submissions/Topic

Week 12 Begin Date: 30 Sep 2024

Module/Topic

Artificial Intelligence (AI) assisted IoT

Chapter

Multiple resources as mentioned in the lecture slides.

Events and Submissions/Topic

Assignment-3 (Group work) Due: Week 12 Friday (4 Oct 2024) 11:45 pm AEST
Review/Exam Week Begin Date: 07 Oct 2024

Module/Topic

Chapter

Events and Submissions/Topic

Exam Week Begin Date: 14 Oct 2024

Module/Topic

Chapter

Events and Submissions/Topic

Term Specific Information

Unit Coordinator: Dr. Nahina Islam

email: n.islam@cqu.edu.au

Assessment Tasks

1 Written Assessment

Assessment Title
Assignment-1 Individual work

Task Description

In this assignment, you will work individually and reflect on your weekly tutorial activities from weeks 1 to 5. Your reflection will specifically focus on the outcomes and findings of each tutorial during this time frame.

Detailed information about this assignment can be accessed from the unit website in Moodle. 


Assessment Due Date

Week 5 Friday (9 Aug 2024) 11:45 pm AEST

Submit online via Moodle link


Return Date to Students

Week 6 Friday (23 Aug 2024)

Online


Weighting
20%

Assessment Criteria

The students will be marked based on their:

1. Knowledge about existing IoT applications and services;

2. Ability to learn and use different IoT platforms;

3. Ability to self reflect on what they have learnt.

More detailed marking criteria can be accessed from Moodle.


Referencing Style

Submission
Online

Learning Outcomes Assessed
  • Evaluate the concepts and the technologies of IoT
  • Analyse IoT devices, sensor types, protocols and standards appropriate in different scenarios
  • Evaluate the ethical and security concerns related to IoT technologies.


Graduate Attributes
  • Knowledge
  • Communication
  • Research

2 Group Work

Assessment Title
Assignment-2

Task Description

In this assignment, you will receive a research topic related to the Internet of Things (IoT). Your task is to locate scholarly articles such as published journals, books, and conference articles to report on current scientific developments relevant to the given topic. This investigation will be conducted in a team (group) environment, and it will require you to:

  1. Find and research multiple scholarly resources to report the scientific developments relevant to the topic.
  2. Prepare a report according to the given guidelines in the assignment.
  3. Present an oral presentation based on your findings presented in the report. The date of the oral presentation will be announced by your lecturer.
  4. Provide feedback on your peer's work.

Detailed information about this assignment can be accessed from the unit website in Moodle.


Assessment Due Date

Week 8 Friday (6 Sept 2024) 11:45 pm AEST

Submit the report via Moodle Link, attend the viva on the date suggested by your lecturer


Return Date to Students

Week 10 Friday (20 Sept 2024)

Online


Weighting
30%

Assessment Criteria

The students are assessed mainly against their:

1. research skills to locate and use quality scholarly articles relevant to their topic;

2. capability to understand and analyse scientific articles in depth;

3. quality and level of detail in the report;

4. effective teamwork skills;

5. ability to present the finding in the oral presentation.

More detailed marking criteria can be accessed from Moodle.


Referencing Style

Submission
Online

Learning Outcomes Assessed
  • Analyse IoT devices, sensor types, protocols and standards appropriate in different scenarios
  • Design and develop an IoT network dashboard for presenting live data for social and business solutions
  • Evaluate the ethical and security concerns related to IoT technologies.


Graduate Attributes
  • Knowledge
  • Communication
  • Research
  • Leadership

3 Project (applied)

Assessment Title
Assignment-3 (Group work)

Task Description

In this assignment, you will be tasked with designing and developing an Internet of Things (IoT) application utilizing IoT devices and tools. Additionally, you will need to compose a report that outlines the process you followed during the project's development. This is a Group activity. The assessment requires you to:

  1. Analyse and find an effective application of IoT;
  2. Design the IoT application based project;
  3. Develop and deploy the project using given tools;
  4. Prepare a document to report (as per given instructions in the assignment) your activities using text and multimedia ( for example screenshots, videos).
  5. Participate in an oral presentation where you need to demonstrate your understanding and findings about the project. This part of the assignment will be marked individually based on each student's performance during the presentation.

Detailed information about this assignment can be accessed from the unit website in Moodle.


Assessment Due Date

Week 12 Friday (4 Oct 2024) 11:45 pm AEST

Submit via Moodle Link


Return Date to Students

Online On Certification day


Weighting
50%

Assessment Criteria

The students are assessed based on:

1. their ability to analyse and develop the project idea;

2. feasibility and level of appropriateness of the proposed project (IoT application);

3. completeness of the development and deployment of the solution;

4. quality and level of detail in the report.

More detailed marking criteria can be accessed from Moodle.


Referencing Style

Submission
Online

Submission Instructions
submit via Moodle link

Learning Outcomes Assessed
  • Evaluate the concepts and the technologies of IoT
  • Design and develop an IoT network dashboard for presenting live data for social and business solutions


Graduate Attributes
  • Knowledge
  • Communication
  • Cognitive, technical and creative skills

Academic Integrity Statement

As a CQUniversity student you are expected to act honestly in all aspects of your academic work.

Any assessable work undertaken or submitted for review or assessment must be your own work. Assessable work is any type of work you do to meet the assessment requirements in the unit, including draft work submitted for review and feedback and final work to be assessed.

When you use the ideas, words or data of others in your assessment, you must thoroughly and clearly acknowledge the source of this information by using the correct referencing style for your unit. Using others’ work without proper acknowledgement may be considered a form of intellectual dishonesty.

Participating honestly, respectfully, responsibly, and fairly in your university study ensures the CQUniversity qualification you earn will be valued as a true indication of your individual academic achievement and will continue to receive the respect and recognition it deserves.

As a student, you are responsible for reading and following CQUniversity’s policies, including the Student Academic Integrity Policy and Procedure. This policy sets out CQUniversity’s expectations of you to act with integrity, examples of academic integrity breaches to avoid, the processes used to address alleged breaches of academic integrity, and potential penalties.

What is a breach of academic integrity?

A breach of academic integrity includes but is not limited to plagiarism, self-plagiarism, collusion, cheating, contract cheating, and academic misconduct. The Student Academic Integrity Policy and Procedure defines what these terms mean and gives examples.

Why is academic integrity important?

A breach of academic integrity may result in one or more penalties, including suspension or even expulsion from the University. It can also have negative implications for student visas and future enrolment at CQUniversity or elsewhere. Students who engage in contract cheating also risk being blackmailed by contract cheating services.

Where can I get assistance?

For academic advice and guidance, the Academic Learning Centre (ALC) can support you in becoming confident in completing assessments with integrity and of high standard.

What can you do to act with integrity?