JSB384 Converging Disciplines: Intelligence and Investigations
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: | JSB384 |
|---|---|
| Prerequisite(s): | 96cp 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 | $5,592 |
Unit Outline: Semester 2 2026, Kelvin Grove, Internal
| Unit code: | JSB384 |
|---|---|
| Credit points: | 12 |
| Pre-requisite: | 96cp of completed study |
| Coordinator: | Brenna Mathieson | brenna.mathieson@qut.edu.au |
Overview
Understanding intelligence operations is crucial for justice professionals in the fields of intelligence and investigations. This unit will help you apply your knowledge of the intelligence process to investigative practice, further equipping you with the skills to effectively gather, analyse, and utilise information. Collaboration with multiple agencies is emphasised, as it enhances the ability to address complex issues by leveraging diverse perspectives and resources. You will learn to negotiate and collaborate with stakeholders, ensuring comprehensive and secure intelligence operations. The unit also focuses on maintaining data integrity and operational security, which are essential for protecting sensitive information. This unit lays the groundwork for professionals to navigate the complexities of multi-agency problem-solving and to reflect on their professional conduct, fostering a culture of continuous improvement and innovation.
Learning Outcomes
On successful completion of this unit you will be able to:
- Plan cross-organisational approaches to intelligence operations that set the strategic direction of the investigation.
- Analyse information and intelligence to make judgements on complex problems.
- Discuss implications and propose recommendations in response to intelligence operations.
- Critically reflect on your role as a justice professional in facilitating discussions, negotiating and communicating with other professionals and stakeholders.
Content
This unit will cover the following:
- background to the intelligence sector
- approaches to collaborative planning and decision making with other organisations and/or agencies and addressing issues that may arise
- advanced analytical techniques for evidence-informed decision making
- understanding the use of emerging technologies, such as Generative AI in how intelligence informs investigations
- data integrity and operational security
- influencing decision making and ensuring completeness in decision making
- reflection on professional conduct
- innovative approaches to multi-agency problem solving
Learning Approaches
In this unit, you will learn by engaging in the following:
- lectures - pre-recorded
- Workshops - face-to-face or online
- online discussion forum
- readings, media and video resources.
The unit adopts an interactive and problem-based learning approach in which you are encouraged to intelligence data. You will also be provided with problem scenarios and cases to analyse, being asked to develop strategies to manage real world intelligence problems 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
- comments about summative assessment work included with your grade
- general summative assessment feedback posted to the whole cohort via the unit Canvas site.
Assessment
Overview
In this unit there are two assessments:
1. Intelligence Briefing - This task brings together the intelligence cycle, with information analysis and multi-agency planning skills to undertake and plan for an intelligence investigation through a verbal briefing.
2. Stakeholder Project - This task builds on information analysis and planning skills to facilitate discussions between multiple agency stakeholders and reach a negotiated outcome. It draws on reflection skills to reflect on the process and identify future actions.
Unit Grading Scheme
7- point scale
Assessment Tasks
Assessment: Intelligence Briefing
In this task, as a representative of your agency, you will investigate, collect and analyse intelligence for a multi-agency operation. You will submit a brief information collection plan, including data from open sources through the use of Generative AI, to provide justification of your planning decisions. This written plan will be accompanied by a verbal recorded briefing.
The use of 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: Stakeholder Project
In your group, you will undertake a series of stakeholder meetings for a multi-agency operation. These meetings will take place in workshops. Each group member will represent different agencies and/or organisations. Your group will negotiate and submit a set of evidence-based recommendations and strategies using analytical techniques in decision-making. This document should contain a critical discussion of how Generative AI could be in this decision-making.
You will individually reflect on the stakeholder meetings and the negotiation process. You will submit your reflection of your experience of the stakeholder negotiation processes and your contribution to the recommendations and strategies.
Artefacts resulting from stakeholder meetings (peer discussions), will be gathered throughout the semester and used to inform all elements of this assessment task.
The use of 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.
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
There are no resources that are required to be purchased for this unit. Resources will be available in the unit's Canvas site.
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: ULO2, ULO3, Intelligence Briefing , Stakeholder Project - Communicate justice and social issues in respectful, professional and ethical ways with other professionals and stakeholders.
Relates to: ULO4, Stakeholder Project - Facilitate discussions and collaborate with stakeholders in the justice sector.
Relates to: ULO1, ULO4, Intelligence Briefing , Stakeholder Project - Reflect on personal values and professional practice to articulate a professional identity.
Relates to: ULO4, Stakeholder Project
Unit Outline: Semester 2 2026, Online
| Unit code: | JSB384 |
|---|---|
| Credit points: | 12 |
| Pre-requisite: | 96cp of completed study |
Overview
Understanding intelligence operations is crucial for justice professionals in the fields of intelligence and investigations. This unit will help you apply your knowledge of the intelligence process to investigative practice, further equipping you with the skills to effectively gather, analyse, and utilise information. Collaboration with multiple agencies is emphasised, as it enhances the ability to address complex issues by leveraging diverse perspectives and resources. You will learn to negotiate and collaborate with stakeholders, ensuring comprehensive and secure intelligence operations. The unit also focuses on maintaining data integrity and operational security, which are essential for protecting sensitive information. This unit lays the groundwork for professionals to navigate the complexities of multi-agency problem-solving and to reflect on their professional conduct, fostering a culture of continuous improvement and innovation.
Learning Outcomes
On successful completion of this unit you will be able to:
- Plan cross-organisational approaches to intelligence operations that set the strategic direction of the investigation.
- Analyse information and intelligence to make judgements on complex problems.
- Discuss implications and propose recommendations in response to intelligence operations.
- Critically reflect on your role as a justice professional in facilitating discussions, negotiating and communicating with other professionals and stakeholders.
Content
This unit will cover the following:
- background to the intelligence sector
- approaches to collaborative planning and decision making with other organisations and/or agencies and addressing issues that may arise
- advanced analytical techniques for evidence-informed decision making
- understanding the use of emerging technologies, such as Generative AI in how intelligence informs investigations
- data integrity and operational security
- influencing decision making and ensuring completeness in decision making
- reflection on professional conduct
- innovative approaches to multi-agency problem solving
Learning Approaches
In this unit, you will learn by engaging in the following:
- lectures - pre-recorded
- Workshops - face-to-face or online
- online discussion forum
- readings, media and video resources.
The unit adopts an interactive and problem-based learning approach in which you are encouraged to intelligence data. You will also be provided with problem scenarios and cases to analyse, being asked to develop strategies to manage real world intelligence problems 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
- comments about summative assessment work included with your grade
- general summative assessment feedback posted to the whole cohort via the unit Canvas site.
Assessment
Overview
In this unit there are two assessments:
1. Intelligence Briefing - This task brings together the intelligence cycle, with information analysis and multi-agency planning skills to undertake and plan for an intelligence investigation through a verbal briefing.
2. Stakeholder Project - This task builds on information analysis and planning skills to facilitate discussions between multiple agency stakeholders and reach a negotiated outcome. It draws on reflection skills to reflect on the process and identify future actions.
Unit Grading Scheme
7- point scale
Assessment Tasks
Assessment: Intelligence Briefing
In this task, as a representative of your agency, you will investigate, collect and analyse intelligence for a multi-agency operation. You will submit a brief information collection plan, including data from open sources through the use of Generative AI, to provide justification of your planning decisions. This written plan will be accompanied by a verbal recorded briefing.
The use of 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: Stakeholder Project
In your group, you will undertake a series of stakeholder meetings for a multi-agency operation. These meetings will take place in workshops. Each group member will represent different agencies and/or organisations. Your group will negotiate and submit a set of evidence-based recommendations and strategies using analytical techniques in decision-making. This document should contain a critical discussion of how Generative AI could be in this decision-making.
You will individually reflect on the stakeholder meetings and the negotiation process. You will submit your reflection of your experience of the stakeholder negotiation processes and your contribution to the recommendations and strategies.
Artefacts resulting from stakeholder meetings (peer discussions), will be gathered throughout the semester and used to inform all elements of this assessment task.
The use of 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.
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
There are no resources that are required to be purchased for this unit. Resources will be available in the unit's Canvas site.
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: ULO2, ULO3, Intelligence Briefing , Stakeholder Project - Communicate justice and social issues in respectful, professional and ethical ways with other professionals and stakeholders.
Relates to: ULO4, Stakeholder Project - Facilitate discussions and collaborate with stakeholders in the justice sector.
Relates to: ULO1, ULO4, Intelligence Briefing , Stakeholder Project - Reflect on personal values and professional practice to articulate a professional identity.
Relates to: ULO4, Stakeholder Project