IAB230 Design of Enterprise IoT
To view more information for this unit, select Unit Outline from the list below. Please note the teaching period for which the Unit Outline is relevant.
| Unit code: | IAB230 |
|---|---|
| Prerequisite(s): | IFB104 or ITD104 or EGB103 |
| Credit points: | 12 |
| Timetable | Details in HiQ, if available |
| Availabilities |
|
| CSP student contribution | $1,192 |
| Domestic tuition unit fee | $4,704 |
| International unit fee | $5,640 |
Unit Outline: Semester 1 2026, Gardens Point, Internal
| Unit code: | IAB230 |
|---|---|
| Credit points: | 12 |
| Pre-requisite: | IFB104 or ITD104 or EGB103 |
Overview
This unit introduces the components of a mobile ubiquitous system, including stand alone and wearable sensors and wireless network protocols. It introduces the Internet of Things (IoT) context and develops the skills in designing systems and applications that use mobile and ubiquitous sensors and smart devices. The ability to critically review real case studies, expand awareness of interconnections between technologies, networks and user contexts and design a solution to a smart IT context problem is a requirement for a range of graduate positions. This is the first unit in the IoT minor and builds on the skills that you developed in IFB103 IT Systems Design, and IFB104 Building IT Systems. IAB330 Applied Internet of Things builds on this unit in which you design and build a working prototype system that uses mobile and ubiquitous system components.
Learning Outcomes
On successful completion of this unit you will be able to:
- Explain core theoretical and technical concepts and principles which support the design and deployment of enterprise IoT systems.
- Analyse contemporary enterprise IoT literature and industry use cases to identify key requirements and best practices for developing enterprise IoT solutions.
- Design enterprise IoT solutions through the selection and application of appropriate supporting techniques.
- Collaborate and work effectively in a team environment.
- Communicate professionally in writing to produce industry standard reports for specialist and non-specialist audiences.
Content
Using compelling concrete case studies, this unit will introduce the components of a mobile ubiquitous system, including stand alone and wearable sensors and wireless network protocols in the Internet of Things (IoT) context. Design methods introduced in previous units will be used by you in designing a technical solution meeting the information needs of specific key user in a specific context. Areas you can select to study in more detail include, connected health, smart transport, smart cities, smart buildings, smart farms, or smart manufacturing.
In this unit, you will learn about:
- Fundamentals of IoT components, including connected devices (things), sensors, actuators, connectivity protocols, cloud and fog computing, and services platform.
- Designing the architecture of IoT.
- Solutions using conceptual design techniques.
- Identifying security, privacy and ethical issues associated with the IoT solutions and applications.
- Selection of sensors and actuators and demonstrating how they are connected in the design of IoT solutions.
- Applying user-centred design methods to identify the information needs of a selected key user in the context and problem space.
- Design of mobile app interface (using screen design tools) to visualise and interact with data.
Learning Approaches
This unit is available for you to study in either on-campus or online mode. You can expect to spend 10 - 15 hours per week involved in preparing for and attending scheduled classes, preparing and completing assessment tasks as well as independent study and consolidation of your learning.
This unit engages you in your learning through a problem-based learning approach to prepare you to solve problems using mobile & ubiquitous computing that you will meet during your professional or academic career. You will build skills through hands-on experience in selecting and applying industry-relevant techniques for designing enterprise IoT solutions tailored to real-world applications. The unit collaborates with the Student Success Group, who engage with students to provide guidance on effective teamwork and strategies for successfully managing team projects.
The content of the unit is delivered through a series of interactive pre-recorded lectures and real-time tutorials. The pre-recorded lectures will cover the theoretical and methodological aspects of mobile and ubiquitous computing, and IoT technologies. The tutorials will emphasise a 'hands-on' approach to learning new concepts through real case studies and are primarily run for 1.5 hours with the focus on practical aspects of the unit and provide an opportunity to discuss, analyse, and apply the concepts to specific contexts. Tutorials will reinforce lecture materials through class discussions and hands-on exercises to help design your IoT solution (project assessment).
Working both individually and within small groups in a collaborative learning environment, you will need to research the topics pertinent to each lecture to inform the discussions and contribute to your learning portfolio. You will apply your new knowledge and skills to design a technical solution to meet the information needs of key users in a relevant context. You are encouraged to discuss your project within project groups established in the tutorials. Scheduled (dedicated) consultation times will be offered to provide additional learning support.
QUT Canvas site will be used for lecture notes, tutorial materials, reading resources, and online class discussions. You may be asked to use a team collaboration tool such as Microsoft teams to support communication and teamwork, in accordance with QUT privacy guidelines.
Feedback on Learning and Assessment
You can obtain feedback on your progress throughout the unit through the following
mechanisms:
- Ask the teaching staff for advice and assistance during real-time tutorial sessions.
- Receive feedback concerning the assignments and learning portfolio during dedicated drop-in sessions.
- Private consultation with teaching staff.
Assessment
Overview
You will undertake a case study in an area of choice such as connected health, smart cities, smart energy, smart manufacturing, etc. Case studies will be multifaceted combining elements of field study, literature research, design and technical elements.
Unit Grading Scheme
7- point scale
Assessment Tasks
Assessment: Report 1: IoT Solution Planning
You will select a particular domain with an enterprise setting such as connected health, smart transport, or smart grid, in which IoT applications are expected to improve effectiveness. You will identify the problems faced by the key users or stakeholders and select one to address in your solution. You will identify the information required by your selected key user (or stakeholder) to achieve their desired outcome. This may involve a literature review and background study of the technologies used in the proposed system.
This assignment is eligible for the 48-hour late submission period and assignment extensions.
Assessment: Report 2: IoT Conceptual Design
You decide which topic among 2-3 alternative individual topics (which you have done in Assessment 1) you would like to continue to work on. Working in a team, you will reflect on the chosen topic, expand and develop a more detailed specification and design outputs. Assessment 2 involves design components and mock-ups of a mobile and ubiquitous computing application (IoT solution). You are expected to design the information architecture (focusing on how IoT data support key scenario(s)). This includes demonstrating how information flows from sensors until how it is used by actuators and users (showing inputs/outputs of each device, and how data is integrated and analysed for the purpose of interaction and visualisation in the mobile app).
This assignment is eligible for the 48-hour late submission period and assignment extensions.
Academic Integrity
Academic integrity is a commitment to undertaking academic work and assessment in a manner that is ethical, fair, honest, respectful and accountable.
The Academic Integrity Policy sets out the range of conduct that can be a failure to maintain the standards of academic integrity. This includes, cheating in exams, plagiarism, self-plagiarism, collusion and contract cheating. It also includes providing fraudulent or altered documentation in support of an academic concession application, for example an assignment extension or a deferred exam.
You are encouraged to make use of QUT’s learning support services, resources and tools to assure the academic integrity of your assessment. This includes the use of text matching software that may be available to assist with self-assessing your academic integrity as part of the assessment submission process.
Breaching QUT’s Academic Integrity Policy or engaging in conduct that may defeat or compromise the purpose of assessment can lead to a finding of student misconduct (Code of Conduct – Student) and result in the imposition of penalties under the Management of Student Misconduct Policy, ranging from a grade reduction to exclusion from QUT.
Resources
No extraordinary charges or costs are associated with the requirements for this unit. Reading material needed for this unit will be advised via the lectures and Canvas.
Resource Materials
Recommended text(s)
Internet of Things from Hype to Reality: The Road to Digitization (3rd edition) by Ammar Rayes and Samer Salam, Springer International Publishing 2022 (available as eBook through QUT Library).
Risk Assessment Statement
There are no extraordinary risks associated with the classroom/lecture activities in this unit.
Course Learning Outcomes
This unit is designed to support your development of the following course/study area learning outcomes.IN01 Bachelor of Information Technology
- Demonstrate a broad theoretical and technical knowledge of well-established and emerging IT disciplines, with in-depth knowledge in at least one specialist area aligned to multiple ICT professional roles.
Relates to: ULO1, Report 1: IoT Solution Planning, Report 2: IoT Conceptual Design - Critically analyse and conceptualise complex IT challenges and opportunities using modelling, abstraction, ideation and problem-solving to generate, evaluate and justify recommended solutions.
Relates to: ULO2, Report 1: IoT Solution Planning, Report 2: IoT Conceptual Design - Integrate and apply technical knowledge and skills to analyse, design, build, operate and maintain sustainable, secure IT systems using industry-standard tools, technologies, platforms, and processes.
Relates to: ULO3, Report 1: IoT Solution Planning, Report 2: IoT Conceptual Design - Demonstrate initiative, autonomy and personal responsibility for continuous learning, working both independently and collaboratively within multi-disciplinary teams, employing state-of-the-art IT project management methodologies to plan and manage time, resources, and risk.
Relates to: ULO4, Report 2: IoT Conceptual Design - Communicate professionally and effectively in written, verbal and visual formats to a diverse range of stakeholders, considering the audience and explaining complex ideas in a simple and understandable manner in a range of IT-related contexts.
Relates to: ULO5, Report 1: IoT Solution Planning, Report 2: IoT Conceptual Design
Unit Outline: Semester 1 2026, Online
| Unit code: | IAB230 |
|---|---|
| Credit points: | 12 |
| Pre-requisite: | IFB104 or ITD104 or EGB103 |
Overview
This unit introduces the components of a mobile ubiquitous system, including stand alone and wearable sensors and wireless network protocols. It introduces the Internet of Things (IoT) context and develops the skills in designing systems and applications that use mobile and ubiquitous sensors and smart devices. The ability to critically review real case studies, expand awareness of interconnections between technologies, networks and user contexts and design a solution to a smart IT context problem is a requirement for a range of graduate positions. This is the first unit in the IoT minor and builds on the skills that you developed in IFB103 IT Systems Design, and IFB104 Building IT Systems. IAB330 Applied Internet of Things builds on this unit in which you design and build a working prototype system that uses mobile and ubiquitous system components.
Learning Outcomes
On successful completion of this unit you will be able to:
- Explain core theoretical and technical concepts and principles which support the design and deployment of enterprise IoT systems.
- Analyse contemporary enterprise IoT literature and industry use cases to identify key requirements and best practices for developing enterprise IoT solutions.
- Design enterprise IoT solutions through the selection and application of appropriate supporting techniques.
- Collaborate and work effectively in a team environment.
- Communicate professionally in writing to produce industry standard reports for specialist and non-specialist audiences.
Content
Using compelling concrete case studies, this unit will introduce the components of a mobile ubiquitous system, including stand alone and wearable sensors and wireless network protocols in the Internet of Things (IoT) context. Design methods introduced in previous units will be used by you in designing a technical solution meeting the information needs of specific key user in a specific context. Areas you can select to study in more detail include, connected health, smart transport, smart cities, smart buildings, smart farms, or smart manufacturing.
In this unit, you will learn about:
- Fundamentals of IoT components, including connected devices (things), sensors, actuators, connectivity protocols, cloud and fog computing, and services platform.
- Designing the architecture of IoT.
- Solutions using conceptual design techniques.
- Identifying security, privacy and ethical issues associated with the IoT solutions and applications.
- Selection of sensors and actuators and demonstrating how they are connected in the design of IoT solutions.
- Applying user-centred design methods to identify the information needs of a selected key user in the context and problem space.
- Design of mobile app interface (using screen design tools) to visualise and interact with data.
Learning Approaches
This unit is available for you to study in either on-campus or online mode. You can expect to spend 10 - 15 hours per week involved in preparing for and attending scheduled classes, preparing and completing assessment tasks as well as independent study and consolidation of your learning.
This unit engages you in your learning through a problem-based learning approach to prepare you to solve problems using mobile & ubiquitous computing that you will meet during your professional or academic career. You will build skills through hands-on experience in selecting and applying industry-relevant techniques for designing enterprise IoT solutions tailored to real-world applications. The unit collaborates with the Student Success Group, who engage with students to provide guidance on effective teamwork and strategies for successfully managing team projects.
The content of the unit is delivered through a series of interactive pre-recorded lectures and real-time tutorials. The pre-recorded lectures will cover the theoretical and methodological aspects of mobile and ubiquitous computing, and IoT technologies. The tutorials will emphasise a 'hands-on' approach to learning new concepts through real case studies and are primarily run for 1.5 hours with the focus on practical aspects of the unit and provide an opportunity to discuss, analyse, and apply the concepts to specific contexts. Tutorials will reinforce lecture materials through class discussions and hands-on exercises to help design your IoT solution (project assessment).
Working both individually and within small groups in a collaborative learning environment, you will need to research the topics pertinent to each lecture to inform the discussions and contribute to your learning portfolio. You will apply your new knowledge and skills to design a technical solution to meet the information needs of key users in a relevant context. You are encouraged to discuss your project within project groups established in the tutorials. Scheduled (dedicated) consultation times will be offered to provide additional learning support.
QUT Canvas site will be used for lecture notes, tutorial materials, reading resources, and online class discussions. You may be asked to use a team collaboration tool such as Microsoft teams to support communication and teamwork, in accordance with QUT privacy guidelines.
Feedback on Learning and Assessment
You can obtain feedback on your progress throughout the unit through the following
mechanisms:
- Ask the teaching staff for advice and assistance during real-time tutorial sessions.
- Receive feedback concerning the assignments and learning portfolio during dedicated drop-in sessions.
- Private consultation with teaching staff.
Assessment
Overview
You will undertake a case study in an area of choice such as connected health, smart cities, smart energy, smart manufacturing, etc. Case studies will be multifaceted combining elements of field study, literature research, design and technical elements.
Unit Grading Scheme
7- point scale
Assessment Tasks
Assessment: Report 1: IoT Solution Planning
You will select a particular domain with an enterprise setting such as connected health, smart transport, or smart grid, in which IoT applications are expected to improve effectiveness. You will identify the problems faced by the key users or stakeholders and select one to address in your solution. You will identify the information required by your selected key user (or stakeholder) to achieve their desired outcome. This may involve a literature review and background study of the technologies used in the proposed system.
This assignment is eligible for the 48-hour late submission period and assignment extensions.
Assessment: Report 2: IoT Conceptual Design
You decide which topic among 2-3 alternative individual topics (which you have done in Assessment 1) you would like to continue to work on. Working in a team, you will reflect on the chosen topic, expand and develop a more detailed specification and design outputs. Assessment 2 involves design components and mock-ups of a mobile and ubiquitous computing application (IoT solution). You are expected to design the information architecture (focusing on how IoT data support key scenario(s)). This includes demonstrating how information flows from sensors until how it is used by actuators and users (showing inputs/outputs of each device, and how data is integrated and analysed for the purpose of interaction and visualisation in the mobile app).
This assignment is eligible for the 48-hour late submission period and assignment extensions.
Academic Integrity
Academic integrity is a commitment to undertaking academic work and assessment in a manner that is ethical, fair, honest, respectful and accountable.
The Academic Integrity Policy sets out the range of conduct that can be a failure to maintain the standards of academic integrity. This includes, cheating in exams, plagiarism, self-plagiarism, collusion and contract cheating. It also includes providing fraudulent or altered documentation in support of an academic concession application, for example an assignment extension or a deferred exam.
You are encouraged to make use of QUT’s learning support services, resources and tools to assure the academic integrity of your assessment. This includes the use of text matching software that may be available to assist with self-assessing your academic integrity as part of the assessment submission process.
Breaching QUT’s Academic Integrity Policy or engaging in conduct that may defeat or compromise the purpose of assessment can lead to a finding of student misconduct (Code of Conduct – Student) and result in the imposition of penalties under the Management of Student Misconduct Policy, ranging from a grade reduction to exclusion from QUT.
Resources
No extraordinary charges or costs are associated with the requirements for this unit. Reading material needed for this unit will be advised via the lectures and Canvas.
Resource Materials
Recommended text(s)
Internet of Things from Hype to Reality: The Road to Digitization (3rd edition) by Ammar Rayes and Samer Salam, Springer International Publishing 2022 (available as eBook through QUT Library).
Risk Assessment Statement
There are no extraordinary risks associated with the classroom/lecture activities in this unit.
Course Learning Outcomes
This unit is designed to support your development of the following course/study area learning outcomes.IN01 Bachelor of Information Technology
- Demonstrate a broad theoretical and technical knowledge of well-established and emerging IT disciplines, with in-depth knowledge in at least one specialist area aligned to multiple ICT professional roles.
Relates to: ULO1, Report 1: IoT Solution Planning, Report 2: IoT Conceptual Design - Critically analyse and conceptualise complex IT challenges and opportunities using modelling, abstraction, ideation and problem-solving to generate, evaluate and justify recommended solutions.
Relates to: ULO2, Report 1: IoT Solution Planning, Report 2: IoT Conceptual Design - Integrate and apply technical knowledge and skills to analyse, design, build, operate and maintain sustainable, secure IT systems using industry-standard tools, technologies, platforms, and processes.
Relates to: ULO3, Report 1: IoT Solution Planning, Report 2: IoT Conceptual Design - Demonstrate initiative, autonomy and personal responsibility for continuous learning, working both independently and collaboratively within multi-disciplinary teams, employing state-of-the-art IT project management methodologies to plan and manage time, resources, and risk.
Relates to: ULO4, Report 2: IoT Conceptual Design - Communicate professionally and effectively in written, verbal and visual formats to a diverse range of stakeholders, considering the audience and explaining complex ideas in a simple and understandable manner in a range of IT-related contexts.
Relates to: ULO5, Report 1: IoT Solution Planning, Report 2: IoT Conceptual Design