Outline

Overview

AMME5104 aims to extend the knowledge and skills of students who have completed the prerequisite unit of study, "ENGG5103 - Safety Systems and Risk Analysis"; building on the foundation material introduced in that unit of study. The effective management of workplace safety systems using Australian/New Zealand standards AS/NZS 4801/4804 is discussed and applied to typical engineering scenarios; some common international approaches and systems are also covered, though to a smaller extent. Processes and procedures related to the creation of risk assessments and analyses are explored, as related to common engineering disciplines. Systems and processes used to perform Hazard and Operability (Hazop) studies are introduced, alongside computational probability based risk quantification procedures. Methods to audit and monitor the performance of safety management systems are discussed, with a focus on the use of lead indicators. Various incident investigation techniques are examined, in conjunction with safety auditing systems. The classification and management of hazardous materials is addressed, with reference to legislative requirements. The importance of a positive workplace safety culture, and issues related to human factors in safety management are also studied and techniques to promote a strong safety culture explored. The unit of study incorporates the use of various real world case studies, from a variety of different engineering disciplines.

Unit details and rules

Academic unit	Aerospace, Mechanical and Mechatronic
Credit points	6
Prerequisites ?	ENGG5103. Knowledge of basic safety systems.
Corequisites ?	None
Prohibitions ?	None
Assumed knowledge ?	None
Available to study abroad and exchange students	Yes

Teaching staff

Coordinator	Rod Fiford, rod.fiford@sydney.edu.au

Type	Description	Weight	Due	Length
Final exam (Take-home extended release)	Examination 48 hour take home exam. Students must pass the exam (50%) to pass the unit.	30%	Formal exam period	48 hours
Outcomes assessed:
Assignment	International safety management standards report n/a	25%	Week 04 Due date: 18 Sep 2020 at 23:59	See Canvas assignment description
Outcomes assessed:
Assignment	Risk assessment and safe work procedure analysis	20%	Week 08 Due date: 23 Oct 2020 at 23:59	n/a
Outcomes assessed:
Assignment	Industrial safety management case study Industrial safety management case study	25%	Week 12 Due date: 20 Nov 2020 at 23:59	See Canvas assignment
Outcomes assessed:
= hurdle task ? = group assignment ? = Type E final exam ?

Assessment summary

- International safety management standards report: written report that researchs, analyses and discusses Australian and international standards to manage safety systems

- Industrial safety management case study: written report that examines an Australian case study of the student’s choice in industrial safety management, including failures in the system and means to prevent repeat failures.

- Risk assessment and safe work procedure analysis: detailed risk assessment and associate safe work processes analysis for a case study industry chosen by the student

- Formal open book exam: 48 hour take home exam. Students must pass the exam (50%) to pass the unit. Examination potentially covers all or any aspects of the unit.

Detailed information for each assessment can be found on Canvas.

Assessment criteria

The University awards common result grades, set out in the Coursework Policy 2014 (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
Distinction	75 - 84
Credit	65 - 74
Pass	50 - 64
Fail	0 - 49	When you don’t meet the learning outcomes of the unit to a satisfactory standard.

For more information see guide to grades.

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:

5% per day. Exam must be passed to pass the unit of study.

Academic integrity

The Current Student website provides information on academic integrity and the resources available to all students. The University expects students and staff to act ethically and honestly and will treat all allegations of academic integrity breaches seriously.

We use similarity detection software to detect potential instances of plagiarism or other forms of academic integrity breach. If such matches indicate evidence of plagiarism or other forms of academic integrity breaches, your teacher is required to report your work for further investigation.

Use of generative artificial intelligence (AI) and automated writing tools

You may only use generative AI and automated writing tools in assessment tasks if you are permitted to by your unit coordinator. If you do use these tools, you must acknowledge this in your work, either in a footnote or an acknowledgement section. The assessment instructions or unit outline will give guidance of the types of tools that are permitted and how the tools should be used.

Your final submitted work must be your own, original work. You must acknowledge any use of generative AI tools that have been used in the assessment, and any material that forms part of your submission must be appropriately referenced. For guidance on how to acknowledge the use of AI, please refer to the AI in Education Canvas site.

The unapproved use of these tools or unacknowledged use will be considered a breach of the Academic Integrity Policy and penalties may apply.

Studiosity is permitted unless otherwise indicated by the unit coordinator. The use of this service must be acknowledged in your submission as detailed on the Learning Hub’s Canvas page.

Outside assessment tasks, generative AI tools may be used to support your learning. The AI in Education Canvas site contains a number of productive ways that students are using AI to improve their learning.

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.

Weekly schedule

WK	Topic	Learning activity
Week 01	Course introduction and background, revision of ENGG5103	Lecture and tutorial (4 hr)
Week 02	Legislative requirements including some international systems and standards	Lecture and tutorial (4 hr)
Week 03	Advanced risk assessment/analysis techniques	Lecture and tutorial (4 hr)
Week 04	Safety implementation, JSA, SWMS and other procedures	Lecture and tutorial (4 hr)
Week 05	Failure modes and effects analysis, fault tree analysis	Lecture and tutorial (4 hr)
Week 06	Hazardous materials and processes	Lecture and tutorial (4 hr)
Week 07	Human factors - ergonomics	Lecture and tutorial (4 hr)
Week 08	Hazard and operability processes (HAZOPS)	Lecture and tutorial (4 hr)
Week 09	Incident investigation and review	Lecture and tutorial (4 hr)
Week 10	Safety and reliability of engineering processes	Lecture and tutorial (4 hr)
Week 11	Monitoring, auditing and control of safety systems and processes	Lecture and tutorial (4 hr)
Week 12	The importance of positive safety cultures within work places	Lecture and tutorial (4 hr)

Attendance and class requirements

Students are expected to undertake significant self study and research.

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.

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. make informed decisions based on advanced risk analysis processes
LO2. understand human factors and their impact on safety management processes
LO3. undertake team based discussions within class and online in discussion/collaboration forums
LO4. write effective technical engineering reports related to safety systems and risk analysis
LO5. independently source information related to legislative requirements, industry codes of practice etc
LO6. demonstrate knowledge and understanding of safety and risk management systems
LO7. apply quantitative risk analysis processes and techniques.

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.

N/A

Additional information

Students must pass the exam (50% or above) to pass the unit.

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

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Weekly schedule

Weekly schedule

Attendance and class requirements

Study commitment

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Additional information

Additional information

Disclaimer

On this page

Useful links

Media

Student links

About us

Connect

Current students

AMME5104: Applied Safety Systems and Risk Analysis

Semester 2, 2020 [Normal day] - Camperdown/Darlington, Sydney

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Weekly schedule

Weekly schedule

Attendance and class requirements

Study commitment

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Additional information

Additional information

Disclaimer

On this page

Useful links

Media

Student links

About us

Connect