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Engineering Risk Analysis (CVEN30008)

Undergraduate level 3Points: 12.5On Campus (Parkville)

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Year of offer2019
Subject levelUndergraduate Level 3
Subject codeCVEN30008
Semester 1
Semester 2
FeesSubject EFTSL, Level, Discipline & Census Date


This subject will focus on how risk analysis and management principles and techniques can be applied to engineering projects. The subject introduces a range of risk analysis techniques, which are put in the context of engineering projects and analysed using the framework of the risk standard (AS/NZS ISO 31000:2009). Risk is a fundamental concept that is applied to every engineering project, whether it is ascertaining the risk of health impacts of water treatment processes, prevention of loss of life by flood mitigation projects, or catastrophic losses caused by the failure of structure in earthquakes or storms.
The subject is of particular relevance to students wishing to establish a career in Engineering management, but is also of relevance to a range of engineering design disciplines where design for the total life cycle of the product or infrastructure should be considered.


Topics covered include: an introduction to the history of engineering failures; the forms of risk and risk identification; project risk analysis; the sociological implications of acceptable risk; approaches to risk management, monitoring for compliance, risk perception and design implications.

Intended learning outcomes


On completion of this subject the student is expected to:

1. Identify information sources and risks for engineering projects
2. Identify and develop a plan for managing risks and opportunities
3. Use statistical methods to analyse empirical data and develop a risk based simulation model. Undertake a sensitivity analysis to identify critical variables that have the potential for threatening the success of a project
4. Use simulation and Engineering Reliability techniques to predict the occurrence of failures of engineering projects
5. Implement a risk management framework based on AS/NZS/ISO 31000: 2009 including the context establishment, risk identification, risk analysis, risk evaluation, risk treatment
6. Identify and classify risk in terms of their severity and likelihood
7. Use tools to diagrams to assist in identifying and representing risks
8. Define a range of performance metrics for an engineering system.

Generic skills

  • Ability to apply knowledge of science and engineering fundamentals
  • Ability to undertake problem identification, formulation, and solution
  • Understanding of social, cultural, global, and environmental responsibilities and the need to employ principles of sustainable development
  • Ability to utilise a systems approach to complex problems and to design and operational performance
  • Ability to function effectively as an individual and in multidisciplinary and multicultural teams, as a team leader or manager as well as an effective team member
  • Ability to communicate effectively, with the engineering team and with the community at large.

Eligibility and requirements


Undergraduate students:

ONE OF the following subjects:

  • MAST10018 - Linear Algebra Extension Studies

Code Name Teaching period Credit Points
MAST10007 Linear Algebra
Summer Term
Semester 1
Semester 2
MAST10008 Accelerated Mathematics 1
Semester 1

And ONE OF the following subjects:

Code Name Teaching period Credit Points
ENGR10003 Engineering Systems Design 2
Summer Term
Semester 2
ENVS10002 Reshaping Environments
Semester 2
GEOM20013 Applications of GIS
Semester 1
ENGR10005 Statics
Semester 2

Postgraduate students:

Admission to the MC-ENG Master of Engineering



Non-allowed subjects


Core participation requirements

The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.

Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home



  • One 2 hour closed book end of semester examination (60%). Intended Learning Outcome (ILO) 3, 4 and 5 are addressed in the exam
  • Assignments totaling 3000 words, requiring approximately 30 hours of work per student, due mid-semester and end of semester (30%). ILOs 1 to 8 are addressed in the assignments
  • Attendance and contribution to discussion in tutorials, during semester (10%). ILOs 1 to 8 are addressed in the contribution in tutorials.

Dates & times

  • Semester 1
    Principal coordinatorLihai Zhang
    Mode of deliveryOn Campus — Parkville
    Contact hours36 hours (Lectures: 2 hours per week; Tutorials: 1 hour per week)
    Total time commitment170 hours
    Teaching period 4 March 2019 to 2 June 2019
    Last self-enrol date15 March 2019
    Census date31 March 2019
    Last date to withdraw without fail10 May 2019
    Assessment period ends28 June 2019

    Semester 1 contact information

  • Semester 2
    CoordinatorMeenakshi Arora
    Mode of deliveryOn Campus — Parkville
    Contact hours36 hours (Lectures: 2 hours per week; Tutorials: 1 hour per week)
    Total time commitment170 hours
    Teaching period29 July 2019 to 27 October 2019
    Last self-enrol date 9 August 2019
    Census date31 August 2019
    Last date to withdraw without fail27 September 2019
    Assessment period ends22 November 2019

    Semester 2 contact information

    Dr Meenakshi Arora

    Email: marora@unimelb.edu.au

Time commitment details

170 hours

Further information

Last updated: 16 February 2019