IAB321 Process Technologies
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: | IAB321 |
|---|---|
| Prerequisite(s): | IAB203 |
| 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: | IAB321 |
|---|---|
| Credit points: | 12 |
| Pre-requisite: | IAB203 |
| Coordinator: | Moe Thandar Wynn | m.wynn@qut.edu.au |
Overview
Whether you will be a business analyst, a data analyst, a process owner, a solution architect or a software engineer, it is essential that you understand the principles and value of process automation and process intelligence in order to fully realise the benefits of digital transformation. This unit introduces the concepts of process automation and process analytics. You will learn how to develop an executable process model for automation and how to monitor its performance. You will learn how to analyse automated processes using latest technologies in data and process mining. The hands-on approach allows you to design, control and analyse automated processes using a variety of well-known process technologies.
Learning Outcomes
On successful completion of this unit you will be able to:
- Explain the principles of process technologies and fundamental characteristics of an executable process model, independently of any specific modelling language or tool;
- Critically analyse business scenarios to identify the roles, process steps and interactions.
- Create an automated process using industry standard software, justifying design choices and evaluate its performance.
- Work independently and collaborate with peers in a team environment to manage process automation and process mining projects efficiently based on relevant project management principles.
- Communicate professionally in written and oral formats to specialist audience.
- Analyse the performance of a process using process mining and related technology such as Artificial Intelligence
Content
This unit introduces the fundamentals of process automation, process monitoring and process mining, required for developing sophisticated technological solutions. Major themes of the unit include fundamentals of process automation and process mining, and demonstrations of the related process intelligence concepts using state-of-the-art software artefacts.
The unit introduces both the theory and applications of process automation and analytics enabling you to develop job-ready skills as process experts. The unit will discuss how process technologies are being deployed in various organisations; including an indigenous organisation. By completing exercises using industry-standard tools and techniques to gain hands-on experience and learning from real-world case studies, you will gain insights into how their technical skills align with current job market demands in process automation and process intelligence. You will design process automation and data-driven process transformation solutions based on real-world needs. By creating prototype solutions, they are encouraged to think entrepreneurially, solving problems, and innovating based on organisational needs.
Learning Approaches
This unit is available to study in both on-campus and online modes. The content of the unit is delivered through lectures, workshops, and the QUT Canvas site. Pre-recorded lectures cover theoretical aspects of the unit, and workshops provide an opportunity to solve practical exercises, based on the current week's lecture. The unit emphasises a “hands-on” approach to learning through the illustration of new concepts through worked examples and demonstrations.
You can expect to spend between 10 - 15 hours per week studying this unit, including preparing for and attending all scheduled workshops, completing assessment tasks, and undertaking your own independent study to consolidate your learning.
Feedback on Learning and Assessment
The assignments will be based on the material covered in the lectures and workshops. The related tasks will be discussed during these contact hours. This will provide you with a deeper understanding of the nature of the tasks. Selected supporting resources will be provided on the unit homepage. A marking guide will be available and discussed in class. A detailed marking of assignments will provide you with comprehensive feedback. Teaching staff are available during the workshops and consultation hours to clarify or elaborate on the assignment content and provide constructive feedback.
Assessment
Overview
The assessment in this unit has been designed to help you to apply your knowledge of business process automation. The assessment tasks will also allow you to demonstrate important employability skills such as being able to work collaboratively with others, reflect on your own work self and that of peers, and to demonstrate effective written and visual communication.
Assessment task 1 requires you to work in small groups to foster your ability to perform as part of a development team. You are encouraged to discuss the difficulties you are having with the assignment with your group partner(s). Assessment task 2 is individual work.
Unit Grading Scheme
7- point scale
Assessment Tasks
Assessment: Designing A Process Automation Solution
This group assignment increases your awareness of the challenges related to modelling an executable business process. You will be asked to implement a process automation solution on the basis of a realistic scenario. You will use the standard BPMN language to design your executable process model, and implement this model in a concrete BPM system. You are expected to provide a comprehensive report detailing the outcomes of this project and a recorded demo of the developed process automation solution. As part of this assessment task, you will be expected to undertake a self and peer evaluation relating to contributions made to the team project.
This assignment is eligible for the 48-hour late submission period and assignment extensions.
Assessment: Process Monitoring and Intelligence
An in-depth investigation of the capabilities of process intelligence solutions in the context of a realistic business scenario. You will be asked to undertake a number of analytical tasks to demonstrate your understanding of the capabilities of process intelligence tools with respect to its support for process automation and monitoring. You are to provide a comprehensive report on your findings.
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.
Requirements to Study
Costs
No extraordinary charges or costs are associated with the requirements for this unit
Resources
All learning and teaching materials for the unit will be made available on the unit Canvas site. Any additional readings required (e.g., recommended books and videos) will be listed in the lecture notes.
Risk Assessment Statement
There are no unusual health or safety risks associated with this unit.
Course Learning Outcomes
This unit is designed to support your development of the following course/study area learning outcomes.DS01 Bachelor of Data Science
- Demonstrate a broad and coherent knowledge of the principles, concepts and techniques of the data science discipline, with depth of knowledge in at least one area developed through a major.
Relates to: Designing A Process Automation Solution, Process Monitoring and Intelligence - Use appropriate statistical, computational, modelling, data management, programming and generative artificial intelligence techniques to develop solutions for deriving insights from data.
Relates to: Designing A Process Automation Solution, Process Monitoring and Intelligence - Demonstrate critical thinking and problem-solving skills, as well as adaptivity in applying learned techniques in new and unfamiliar contexts.
Relates to: Designing A Process Automation Solution, Process Monitoring and Intelligence - Work effectively both independently and collaboratively in diverse and interdisciplinary teams.
Relates to: Designing A Process Automation Solution, Process Monitoring and Intelligence - Communicate effectively in a variety of modes, to expert and non-expert audiences, including in a professional context.
Relates to: Designing A Process Automation Solution, Process Monitoring and Intelligence
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, Designing A Process Automation Solution - 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, Designing A Process Automation Solution, Process Monitoring and Intelligence - 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, Designing A Process Automation Solution, Process Monitoring and Intelligence - 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, Designing A Process Automation Solution, Process Monitoring and Intelligence - 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, Designing A Process Automation Solution, Process Monitoring and Intelligence - Assess the risks and potential of artificial intelligence (and other disruptive emerging technologies) within an organisation and leverage AI knowledge and skills to solve IT challenges, improve productivity and add value.
Relates to: ULO6, Process Monitoring and Intelligence
Unit Outline: Semester 1 2026, Online
| Unit code: | IAB321 |
|---|---|
| Credit points: | 12 |
| Pre-requisite: | IAB203 |
Overview
Whether you will be a business analyst, a data analyst, a process owner, a solution architect or a software engineer, it is essential that you understand the principles and value of process automation and process intelligence in order to fully realise the benefits of digital transformation. This unit introduces the concepts of process automation and process analytics. You will learn how to develop an executable process model for automation and how to monitor its performance. You will learn how to analyse automated processes using latest technologies in data and process mining. The hands-on approach allows you to design, control and analyse automated processes using a variety of well-known process technologies.
Learning Outcomes
On successful completion of this unit you will be able to:
- Explain the principles of process technologies and fundamental characteristics of an executable process model, independently of any specific modelling language or tool;
- Critically analyse business scenarios to identify the roles, process steps and interactions.
- Create an automated process using industry standard software, justifying design choices and evaluate its performance.
- Work independently and collaborate with peers in a team environment to manage process automation and process mining projects efficiently based on relevant project management principles.
- Communicate professionally in written and oral formats to specialist audience.
- Analyse the performance of a process using process mining and related technology such as Artificial Intelligence
Content
This unit introduces the fundamentals of process automation, process monitoring and process mining, required for developing sophisticated technological solutions. Major themes of the unit include fundamentals of process automation and process mining, and demonstrations of the related process intelligence concepts using state-of-the-art software artefacts.
The unit introduces both the theory and applications of process automation and analytics enabling you to develop job-ready skills as process experts. The unit will discuss how process technologies are being deployed in various organisations; including an indigenous organisation. By completing exercises using industry-standard tools and techniques to gain hands-on experience and learning from real-world case studies, you will gain insights into how their technical skills align with current job market demands in process automation and process intelligence. You will design process automation and data-driven process transformation solutions based on real-world needs. By creating prototype solutions, they are encouraged to think entrepreneurially, solving problems, and innovating based on organisational needs.
Learning Approaches
This unit is available to study in both on-campus and online modes. The content of the unit is delivered through lectures, workshops, and the QUT Canvas site. Pre-recorded lectures cover theoretical aspects of the unit, and workshops provide an opportunity to solve practical exercises, based on the current week's lecture. The unit emphasises a “hands-on” approach to learning through the illustration of new concepts through worked examples and demonstrations.
You can expect to spend between 10 - 15 hours per week studying this unit, including preparing for and attending all scheduled workshops, completing assessment tasks, and undertaking your own independent study to consolidate your learning.
Feedback on Learning and Assessment
The assignments will be based on the material covered in the lectures and workshops. The related tasks will be discussed during these contact hours. This will provide you with a deeper understanding of the nature of the tasks. Selected supporting resources will be provided on the unit homepage. A marking guide will be available and discussed in class. A detailed marking of assignments will provide you with comprehensive feedback. Teaching staff are available during the workshops and consultation hours to clarify or elaborate on the assignment content and provide constructive feedback.
Assessment
Overview
The assessment in this unit has been designed to help you to apply your knowledge of business process automation. The assessment tasks will also allow you to demonstrate important employability skills such as being able to work collaboratively with others, reflect on your own work self and that of peers, and to demonstrate effective written and visual communication.
Assessment task 1 requires you to work in small groups to foster your ability to perform as part of a development team. You are encouraged to discuss the difficulties you are having with the assignment with your group partner(s). Assessment task 2 is individual work.
Unit Grading Scheme
7- point scale
Assessment Tasks
Assessment: Designing A Process Automation Solution
This group assignment increases your awareness of the challenges related to modelling an executable business process. You will be asked to implement a process automation solution on the basis of a realistic scenario. You will use the standard BPMN language to design your executable process model, and implement this model in a concrete BPM system. You are expected to provide a comprehensive report detailing the outcomes of this project and a recorded demo of the developed process automation solution. As part of this assessment task, you will be expected to undertake a self and peer evaluation relating to contributions made to the team project.
This assignment is eligible for the 48-hour late submission period and assignment extensions.
Assessment: Process Monitoring and Intelligence
An in-depth investigation of the capabilities of process intelligence solutions in the context of a realistic business scenario. You will be asked to undertake a number of analytical tasks to demonstrate your understanding of the capabilities of process intelligence tools with respect to its support for process automation and monitoring. You are to provide a comprehensive report on your findings.
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.
Requirements to Study
Costs
No extraordinary charges or costs are associated with the requirements for this unit
Resources
All learning and teaching materials for the unit will be made available on the unit Canvas site. Any additional readings required (e.g., recommended books and videos) will be listed in the lecture notes.
Risk Assessment Statement
There are no unusual health or safety risks associated with this unit.
Course Learning Outcomes
This unit is designed to support your development of the following course/study area learning outcomes.DS01 Bachelor of Data Science
- Demonstrate a broad and coherent knowledge of the principles, concepts and techniques of the data science discipline, with depth of knowledge in at least one area developed through a major.
Relates to: Designing A Process Automation Solution, Process Monitoring and Intelligence - Use appropriate statistical, computational, modelling, data management, programming and generative artificial intelligence techniques to develop solutions for deriving insights from data.
Relates to: Designing A Process Automation Solution, Process Monitoring and Intelligence - Demonstrate critical thinking and problem-solving skills, as well as adaptivity in applying learned techniques in new and unfamiliar contexts.
Relates to: Designing A Process Automation Solution, Process Monitoring and Intelligence - Work effectively both independently and collaboratively in diverse and interdisciplinary teams.
Relates to: Designing A Process Automation Solution, Process Monitoring and Intelligence - Communicate effectively in a variety of modes, to expert and non-expert audiences, including in a professional context.
Relates to: Designing A Process Automation Solution, Process Monitoring and Intelligence
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, Designing A Process Automation Solution - 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, Designing A Process Automation Solution, Process Monitoring and Intelligence - 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, Designing A Process Automation Solution, Process Monitoring and Intelligence - 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, Designing A Process Automation Solution, Process Monitoring and Intelligence - 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, Designing A Process Automation Solution, Process Monitoring and Intelligence - Assess the risks and potential of artificial intelligence (and other disruptive emerging technologies) within an organisation and leverage AI knowledge and skills to solve IT challenges, improve productivity and add value.
Relates to: ULO6, Process Monitoring and Intelligence