JSB228 101101: When Crime Goes Digital
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: | JSB228 |
|---|---|
| Prerequisite(s): | 72cp of completed study |
| Credit points: | 12 |
| Timetable | Details in HiQ, if available |
| Availabilities |
|
| CSP student contribution | $2,174 |
| Pre-2021 CSP student contribution | $1,020 The pre-2021 commonwealth supported place (CSP) contribution amount only applies to students enrolled in a course prior to 2021. To learn more, visit our Understanding your fees page. |
| Domestic tuition unit fee | $3,456 |
| International unit fee | $4,932 |
Unit Outline: Semester 1 2026, Kelvin Grove, Internal
| Unit code: | JSB228 |
|---|---|
| Credit points: | 12 |
| Pre-requisite: | 72cp of completed study |
| Coordinator: | Michael Chataway | michael.chataway@qut.edu.au |
Overview
Technology is becoming increasingly used within society and is an important domain of knowledge and skills for justice professionals. This unit provides you with a grounding in how technology may be used to perpetrate crime and respond to crime problems. You will learn about different types of crime that may be perpetrated using technology, such as cybercrime, image-based abuse, and technology facilitated coercive control. You will also learn how technologies may be used in modern policing practices, including the use of body worn cameras, apps and other technologies. This unit equips you with the skills to keep up-to-date technology's impact on crime and its evolving use in crime prevention.
Learning Outcomes
On successful completion of this unit you will be able to:
- Evaluate the challenges and opportunities facing the justice system and justice professionals in the use of technology to perpetrate crime and respond to crime.
- Critically assess the social, ethical and human rights implications of technology and its use in the justice profession.
- Reflect on the implications of personal technology use and develop strategies for responsible online behaviour.
- Propose evidence-based strategies to address the impacts of technology on crime.
Content
This unit will cover the following:
- Online Harassment
- Cyber Terrorism
- Prohibited Content & Child Exploitation
- Technology & Crime Prevention
- Pre-Crime, Artificial Intelligence & Algorithmic Justice
- Digital Evidence Collection
- Social & Environmental Impacts of Technology
- Digital Society, Human Rights, and Cybersecurity Dilemmas
Learning Approaches
In this unit, you will learn by engaging in the following:
- lectures - live and recorded
- workshops - face-to-face and online
- peer and group discussions
- readings, media and video resources.
The unit adopts an interactive and case-based learning approach in which you are encouraged to critique real world cases of technology and crime. You will also be provided with problem scenarios and cases to analyse, being asked to develop strategies to manage real world problems involving technology in groups and individually.
Feedback on Learning and Assessment
Feedback in this unit is provided to you in the following ways:
- a range of formative exercises discussed and undertaken throughout the unit
- feedback from peers as you investigate and discuss issues raised throughout the unit
- quizzes with automated feedback
- comments about summative assessment work included with your grade
- general summative assessment feedback posted to the whole cohort via the unit Canvas website.
Assessment
Overview
In this unit there are two assessments:
1. Generative AI Problem Solving Task - This task draws on key concepts of artificial intelligence and technology to analyse a cybercrime.
2. Digital Footprint Analysis - This task brings together core unit concepts to understand your digital presence online and the risks posed, and identify mitigation strategies.
Unit Grading Scheme
7- point scale
Assessment Tasks
Assessment: Generative AI Problem Solving Task
You will act as a digital investigator to analyse a fictional cybercrime using generative AI as a research tool. Specifically, you will use AI to help identify key details of the case, analyse possible motives, and propose strategies to prevent similar crime. You will also reflect on the strengths and limitations of AI in your investigation and consider any ethical issues.
The use of freely available generative artificial intelligence (AI) tools is allowed for the purpose of generating content for this assessment task. Any generated content needs to be appropriately referenced and notes provided as to what prompts were used to generate the content.
This assignment is eligible for the 48-hour late submission period and assignment extensions.
Assessment: Digital Footprint Analysis
You will conduct a digital footprint analysis of your online presence on social media platforms and the internet. As part of the analysis, you will be required to assess personal privacy and security risks associated with your digital footprint. You will reflect on your findings to develop strategies for managing your digital identity responsibly and mitigating potential threats.
The use of generative artificial intelligence (AI) tools is allowed to help you study and find out more about the topic; noting AI-generated content may not be accurate, reliable, or may display bias. Any content generated may not be copied and included in your final submission.
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
All reading materials will be digitised and made available to students via QUTReadings online.
Risk Assessment Statement
Students are advised that some content in justice units may be confronting. If you are concerned that the content of a unit may impact your completion of the course, please see the unit coordinator. You can also access free student counselling through QUT Counselling via the QUT Student Homepage.
Course Learning Outcomes
This unit is designed to support your development of the following course/study area learning outcomes.JS34 Bachelor of Justice
- Collect and analyse evidence to inform decisions and recommendations in justice systems.
Relates to: ULO4, Generative AI Problem Solving Task, Digital Footprint Analysis - Assess technologies and their impacts on social and justice sectors.
Relates to: ULO1, ULO2, Generative AI Problem Solving Task, Digital Footprint Analysis - Reflect on personal values and professional practice to articulate a professional identity.
Relates to: ULO3, Digital Footprint Analysis
Unit Outline: Semester 1 2026, Online
| Unit code: | JSB228 |
|---|---|
| Credit points: | 12 |
| Pre-requisite: | 72cp of completed study |
Overview
Technology is becoming increasingly used within society and is an important domain of knowledge and skills for justice professionals. This unit provides you with a grounding in how technology may be used to perpetrate crime and respond to crime problems. You will learn about different types of crime that may be perpetrated using technology, such as cybercrime, image-based abuse, and technology facilitated coercive control. You will also learn how technologies may be used in modern policing practices, including the use of body worn cameras, apps and other technologies. This unit equips you with the skills to keep up-to-date technology's impact on crime and its evolving use in crime prevention.
Learning Outcomes
On successful completion of this unit you will be able to:
- Evaluate the challenges and opportunities facing the justice system and justice professionals in the use of technology to perpetrate crime and respond to crime.
- Critically assess the social, ethical and human rights implications of technology and its use in the justice profession.
- Reflect on the implications of personal technology use and develop strategies for responsible online behaviour.
- Propose evidence-based strategies to address the impacts of technology on crime.
Content
This unit will cover the following:
- Online Harassment
- Cyber Terrorism
- Prohibited Content & Child Exploitation
- Technology & Crime Prevention
- Pre-Crime, Artificial Intelligence & Algorithmic Justice
- Digital Evidence Collection
- Social & Environmental Impacts of Technology
- Digital Society, Human Rights, and Cybersecurity Dilemmas
Learning Approaches
In this unit, you will learn by engaging in the following:
- lectures - live and recorded
- workshops - face-to-face and online
- peer and group discussions
- readings, media and video resources.
The unit adopts an interactive and case-based learning approach in which you are encouraged to critique real world cases of technology and crime. You will also be provided with problem scenarios and cases to analyse, being asked to develop strategies to manage real world problems involving technology in groups and individually.
Feedback on Learning and Assessment
Feedback in this unit is provided to you in the following ways:
- a range of formative exercises discussed and undertaken throughout the unit
- feedback from peers as you investigate and discuss issues raised throughout the unit
- quizzes with automated feedback
- comments about summative assessment work included with your grade
- general summative assessment feedback posted to the whole cohort via the unit Canvas website.
Assessment
Overview
In this unit there are two assessments:
1. Generative AI Problem Solving Task - This task draws on key concepts of artificial intelligence and technology to analyse a cybercrime.
2. Digital Footprint Analysis - This task brings together core unit concepts to understand your digital presence online and the risks posed, and identify mitigation strategies.
Unit Grading Scheme
7- point scale
Assessment Tasks
Assessment: Generative AI Problem Solving Task
You will act as a digital investigator to analyse a fictional cybercrime using generative AI as a research tool. Specifically, you will use AI to help identify key details of the case, analyse possible motives, and propose strategies to prevent similar crime. You will also reflect on the strengths and limitations of AI in your investigation and consider any ethical issues.
The use of freely available generative artificial intelligence (AI) tools is allowed for the purpose of generating content for this assessment task. Any generated content needs to be appropriately referenced and notes provided as to what prompts were used to generate the content.
This assignment is eligible for the 48-hour late submission period and assignment extensions.
Assessment: Digital Footprint Analysis
You will conduct a digital footprint analysis of your online presence on social media platforms and the internet. As part of the analysis, you will be required to assess personal privacy and security risks associated with your digital footprint. You will reflect on your findings to develop strategies for managing your digital identity responsibly and mitigating potential threats.
The use of generative artificial intelligence (AI) tools is allowed to help you study and find out more about the topic; noting AI-generated content may not be accurate, reliable, or may display bias. Any content generated may not be copied and included in your final submission.
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
All reading materials will be digitised and made available to students via QUTReadings online.
Risk Assessment Statement
Students are advised that some content in justice units may be confronting. If you are concerned that the content of a unit may impact your completion of the course, please see the unit coordinator. You can also access free student counselling through QUT Counselling via the QUT Student Homepage.
Course Learning Outcomes
This unit is designed to support your development of the following course/study area learning outcomes.JS34 Bachelor of Justice
- Collect and analyse evidence to inform decisions and recommendations in justice systems.
Relates to: ULO4, Generative AI Problem Solving Task, Digital Footprint Analysis - Assess technologies and their impacts on social and justice sectors.
Relates to: ULO1, ULO2, Generative AI Problem Solving Task, Digital Footprint Analysis - Reflect on personal values and professional practice to articulate a professional identity.
Relates to: ULO3, Digital Footprint Analysis