Outline

Overview

This unit examines responses to crime and crime prevention with reference to shifting notions of crime and responsibility for crime. It encourages a critical appreciation of the limitations of criminal justice system responses to crime and the necessity to develop a broader approach to crime prevention policy which responds to economic, social and cultural issues. The unit examines different ways of thinking about criminal justice, such as a means of order maintenance, dispute resolution, or risk management, and the shifting focus towards the prevention of future harms. Specific topics may include: restorative justice specialist courts, privatisation and contractualism, security, policing, and approaches to crime prevention and community safety. Refer to the Sydney Law School timetable - https://canvas.sydney.edu.au/courses/4533/pages/postgraduate-lecture-timetable

Unit details and rules

Academic unit	Law
Credit points	6
Prerequisites ?	None
Corequisites ?	None
Prohibitions ?	None
Assumed knowledge ?	None
Available to study abroad and exchange students	No

Teaching staff

Coordinator	Garner Clancey, garner.clancey@sydney.edu.au
Lecturer(s)	Garner Clancey, garner.clancey@sydney.edu.au

Assessment

The census date for this unit availability is 3 October 2025

Details
Criteria

Type	Description	Weight	Due	Length	Use of AI
Written work	Short Essay (35%) Short Essay	35%	Week 04 Due date: 16 Oct 2025 at 16:00 Closing date: 23 Oct 2025	2500 words / 4 weeks	AI allowed
Outcomes assessed:
Written work	Research Project (65%) Research project	65%	Week 08 Due date: 10 Nov 2025 at 08:00 Closing date: 17 Nov 2025	5000 words/ 8 weeks	AI allowed
Outcomes assessed:

Assessment summary

Short Essay (35%): Emeritus Professor Rick Sarre, in his recent book (2024), Preventing Crime, What We Know, and What We Need to Do, lists 12 imperatives for policymakers from national, state and local governments to must consider. List these 12 imperatives in your essay and select and clearly identify four of these imperatives for analysis, noting those you consider to be the most critical and why you rank them such. You will need to explore related literature and discuss some examples of how these imperatives are being addressed in Australia and what more needs to be done. The book is available electronically through the University of Sydney website. The maximum word count for the Short Essay is 2,500 words.

The release date for the short essay is 18 September 2025 at 4pm.

The deadline for submission is 16 October 2025 at 4pm (Sydney, Australia time).

Research Project (65%): You are required to compile a document that captures a series of tasks and research. You need to identify a suburb (not a local government area) in Sydney. You will then compile a short social profile of that suburb, utilising Australian Bureau of Statistics (ABS) and other available data. You will then need to compile a brief crime profile for the suburb using NSW Bureau of Crime Statistics and Research (BOCSAR), ABS and other available data. You will then identify five key crime problems in the area, explaining why you consider these to be pressing crime issues, and propose responses for each, drawing on Tonry and Farrington’s typologies of crime prevention. Outlining what is being done and has previously been done to address these crime problems in the chosen suburb and in relevant scholarship will be critical. You will be expected to include tables, graphs, diagrams, images and photos where appropriate and beneficial. You will need to appropriately reference key insights and outline how and where AI has been used.

The maximum word count for the Research Project is 5,000 words.

The release date for the research project is 18 September 2025.

The deadline for submission of the research project is 10 November 2025 at 8am (Sydney, Australia time).

Students must retain pre-submitted drafts of their assessments on file.

Word limit penalty: A piece of assessment which exceeds the prescribed word limit will attract a penalty of 10% of the total marks available for the piece of assessment for every 100 words, or part thereof. The total word count for essay and other written assessments will exclude all footnotes and any bibliography (if required), and exclude acknowledgements of assistance from editors, automated writing tools or generative AI (where use is permitted).

Referencing: The Sydney Law School expects you to use the Australian Guide to Legal Citation (4th edition, 2018) for your footnoting style, although you should confirm this with your lecturer. A link to the library website where this is set out comprehensively is available at Referencing and Citation Styles: AGLC4.

Special consideration: Successful grants of Special Consideration may involve alternative tasks, as appropriate.

Assessment requirements to pass a unit of study: A student must make a genuine attempt at all assessment tasks set out in this Unit of Study in order to obtain a Pass mark and grade (or above); otherwise an Absent Fail grade will be recorded as the student’s result for this Unit of Study. 

Assessment criteria

The University awards common result grades, set out in the Coursework Policy 2021 (Schedule 1).

As a general guide, a high distinction indicates work of an exceptional standard, a distinction a very high standard, a credit a good standard, and a pass an acceptable standard.

Result name	Mark range	Description
High distinction	85 - 100	Work receiving a high distinction grade will generally exhibit the following characteristics: • Completely answers the question. • Contains striking originality of approach or analysis. • Demonstrates exhaustive or innovative research (where independent research required). • Exceptionally well written, structured and expressed. • Is otherwise exceptional in some way.
Distinction	75 - 84	Work receiving a distinction grade will generally exhibit the following characteristics: • Completely answers the question. • Achieves a critical and evaluative approach to the issues. • Content and structure is well organised in support of the argument. • Demonstrates extensive research and analysis to support a well-documented argument. • Generally well expressed and free from errors. • Has a clear structure and is well articulated.
Credit	65 - 74	Work receiving a credit grade will generally exhibit the following characteristics: • Covers main issues fairly well in answering the question. • Contains no significant errors • Demonstrates an attempted critical approach to the issues. • Demonstrates reasonably sound research and analysis in addressing the key issues. • Has a clear structure and reasonably clear expression.
Pass	50 - 64	Work receiving a pass grade will generally exhibit the following characteristics: • Identifies the key issues, but does not follow through with a reasoned argument. • Contains some significant errors. • Displays satisfactory engagement with the key issues. • Offers descriptive summary of material relevant to the question. • Superficial use of material, and may display a tendency to paraphrase. • Demonstrates little evidence of in-depth research or analysis. • Adequate expression. • Overall, demonstrates the minimum level of competence in the assessment and satisfies the requirements to proceed to higher-level studies in the degree or subject area.
Fail	0 - 49	Work may fail for any or all of the following reasons: • Does not answer the question. • Contains significant or numerous errors. • Few or no identifiable arguments. • Content that is inappropriate or irrelevant. • Lack of research or analysis. • Difficult or impossible to understand through poor grammar, expression or structure. • Overall, does not demonstrate the minimum level of competence in the assessment.

For more information see guide to grades.

Use of generative artificial intelligence (AI)

You can use generative AI tools for open assessments. Restrictions on AI use apply to secure, supervised assessments used to confirm if students have met specific learning outcomes.

Refer to the assessment table above to see if AI is allowed, for assessments in this unit and check Canvas for full instructions on assessment tasks and AI use.

If you use AI, you must always acknowledge it. Misusing AI may lead to a breach of the Academic Integrity Policy.

Visit the Current Students website for more information on AI in assessments, including details on how to acknowledge its use.

Late submission

In accordance with University policy, these penalties apply when written work is submitted after 11:59pm on the due date:

Deduction of 5% of the maximum mark for each calendar day after the due date.
After ten calendar days late, a mark of zero will be awarded.

This unit has an exception to the standard University policy or supplementary information has been provided by the unit coordinator. This information is displayed below:

The late submission of a piece of assessment, without an approved extension, will attract a penalty of 10% of the total marks available for the piece of assessment per 24 hours or part thereof, after the due time on the due date. For example, a submission after the due time specified in the assessment summary but before the same time the following day will attract a 10% penalty. Penalties for late submission will be applied strictly, subject to a 5 minute grace period.

Academic integrity

The University expects students to act ethically and honestly and will treat all allegations of academic integrity breaches seriously.

Our website provides information on academic integrity and the resources available to all students. This includes advice on how to avoid common breaches of academic integrity. Ensure that you have completed the Academic Honesty Education Module (AHEM) which is mandatory for all commencing coursework students

Penalties for serious breaches can significantly impact your studies and your career after graduation. It is important that you speak with your unit coordinator if you need help with completing assessments.

Visit the Current Students website for more information on AI in assessments, including details on how to acknowledge its use.

Learning support

Simple extensions

If you encounter a problem submitting your work on time, you may be able to apply for an extension of five calendar days through a simple extension.  The application process will be different depending on the type of assessment and extensions cannot be granted for some assessment types like exams.

Special consideration

If exceptional circumstances mean you can’t complete an assessment, you need consideration for a longer period of time, or if you have essential commitments which impact your performance in an assessment, you may be eligible for special consideration or special arrangements.

Special consideration applications will not be affected by a simple extension application.

Using AI responsibly

Co-created with students, AI in Education includes lots of helpful examples of how students use generative AI tools to support their learning. It explains how generative AI works, the different tools available and how to use them responsibly and productively.

Support for students

The Support for Students Policy reflects the University’s commitment to supporting students in their academic journey and making the University safe for students. It is important that you read and understand this policy so that you are familiar with the range of support services available to you and understand how to engage with them.

The University uses email as its primary source of communication with students who need support under the Support for Students Policy. Make sure you check your University email regularly and respond to any communications received from the University.

Learning resources and detailed information about weekly assessment and learning activities can be accessed via Canvas. It is essential that you visit your unit of study Canvas site to ensure you are up to date with all of your tasks.

If you are having difficulties completing your studies, or are feeling unsure about your progress, we are here to help. You can access the support services offered by the University at any time:

Support and Services (including health and wellbeing services, financial support and learning support)
Course planning and administration
Meet with an Academic Adviser

Weekly schedule

WK	Topic	Learning activity
Mid-semester break	1. Situational crime prevention / CPTED; 2. Policing for prevention; 3. Criminal justice prevention	Seminar (6.5 hr)
Mid-semester break	1. Evidence-based crime prevention; 2. International approaches to prevention; 3. Recent and future trends	Seminar (6.5 hr)
Week 01	1. Introduction to crime prevention; 2. Explaining the ‘preventive turn’; 3 Crime patterns and trends	Seminar (6.5 hr)
Week 01	1. Social crime prevention; 2. Developmental crime prevention; 3. Local approaches to prevention	Seminar (6.5 hr)

Attendance and class requirements

Attendance:

All students are required to attend 90% of classes to satisfy the pass requirements for this unit. Failure to meet this requirement will result in an Absent Fail grade being recorded as the student’s result for this unit (see The University of Sydney Law School Resolutions: Coursework Awards cl 11).  

Study commitment

Typically, there is a minimum expectation of 1.5-2 hours of student effort per week per credit point for units of study offered over a full semester. For a 6 credit point unit, this equates to roughly 120-150 hours of student effort in total.

Required readings

Sutton, A.; Cherney, A.; White, R. and Clancey. G. (2020) Crime Prevention - Principles, Perspectives and Practices, 3rd Edition, Cambridge University Press, Port Melbourne.

Learning outcomes

Learning outcomes are what students know, understand and are able to do on completion of a unit of study. They are aligned with the University's graduate qualities and are assessed as part of the curriculum.

Outcomes
Graduate qualities

At the completion of this unit, you should be able to:

LO1. Critically evaluate different models and approaches to crime prevention and control, incorporating an analysis of contemporary debates and theoretical insights in criminology
LO2. Critically analyse the challenges and developments leading to the ‘preventive turn’ in criminal justice, including the impact of socio-legal contexts on the growth of crime prevention and control measures
LO3. Synthesise knowledge of contemporary crime trends, the effectiveness of crime prevention and control measures, and predict future crime and crime prevention trends
LO4. Apply theoretical insights to critically examine crime prevention and criminal justice policies, including analysing influences on the creation of the current crime control agenda and shifting notions of responsibility for crime
LO5. Articulate and debate shifting notions of responsibility for crime, crime control, and crime prevention, integrating perspectives from restorative justice, privatisation, and community safety approaches.

Graduate qualities

The graduate qualities are the qualities and skills that all University of Sydney graduates must demonstrate on successful completion of an award course. As a future Sydney graduate, the set of qualities have been designed to equip you for the contemporary world.

GQ1	Depth of disciplinary expertise Deep disciplinary expertise is the ability to integrate and rigorously apply knowledge, understanding and skills of a recognised discipline defined by scholarly activity, as well as familiarity with evolving practice of the discipline.
GQ2	Critical thinking and problem solving Critical thinking and problem solving are the questioning of ideas, evidence and assumptions in order to propose and evaluate hypotheses or alternative arguments before formulating a conclusion or a solution to an identified problem.
GQ3	Oral and written communication Effective communication, in both oral and written form, is the clear exchange of meaning in a manner that is appropriate to audience and context.
GQ4	Information and digital literacy Information and digital literacy is the ability to locate, interpret, evaluate, manage, adapt, integrate, create and convey information using appropriate resources, tools and strategies.
GQ5	Inventiveness Generating novel ideas and solutions.
GQ6	Cultural competence Cultural Competence is the ability to actively, ethically, respectfully, and successfully engage across and between cultures. In the Australian context, this includes and celebrates Aboriginal and Torres Strait Islander cultures, knowledge systems, and a mature understanding of contemporary issues.
GQ7	Interdisciplinary effectiveness Interdisciplinary effectiveness is the integration and synthesis of multiple viewpoints and practices, working effectively across disciplinary boundaries.
GQ8	Integrated professional, ethical, and personal identity An integrated professional, ethical and personal identity is understanding the interaction between one’s personal and professional selves in an ethical context.
GQ9	Influence Engaging others in a process, idea or vision.

Outcome map

Learning outcomes	Graduate qualities
Learning outcomes

Responding to student feedback

This section outlines changes made to this unit following staff and student reviews.

There have been changes to assessment types.

Disclaimer

The University reserves the right to amend units of study or no longer offer certain units, including where there are low enrolment numbers.

To help you understand common terms that we use at the University, we offer an online glossary.

Current students

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

Use of generative artificial intelligence (AI)

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Support for students

Weekly schedule

Weekly schedule

Attendance and class requirements

Study commitment

Required readings

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Disclaimer

On this page

Useful links

LAWS6193: Criminal Justice: Prevention and Control

Semester 2b, 2025 [Block mode] - Camperdown/Darlington, Sydney

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

Use of generative artificial intelligence (AI)

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Support for students

Weekly schedule

Weekly schedule

Attendance and class requirements

Study commitment

Required readings

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Disclaimer

On this page

Useful links