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Engineering Risk Analysis (CVEN30008)
Undergraduate level 3Points: 12.5Dual-Delivery (Parkville)
From 2023 most subjects will be taught on campus only with flexible options limited to a select number of postgraduate programs and individual subjects.
To learn more, visit COVID-19 course and subject delivery.
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
Semester 1
Semester 2
Alexander Babanin
email: a.babanin@unimelb.edu.au
Overview
Availability | Semester 1 - Dual-Delivery Semester 2 - Dual-Delivery |
---|---|
Fees | Look up fees |
AIMS
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 31000:2018). 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.
INDICATIVE CONTENT
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:
- ILO 1. Identify information sources and risks for engineering projects
- ILO 2. Develop a plan for managing risks and opportunities
- ILO 3. Use statistical methods to analyse empirical data and develop a risk based simulation model
- ILO 4. Apply advanced simulation techniques, such as Monte Carlo simulation, and Engineering Reliability and Machine Learning, to predict the occurrence of failures of engineering projects
- ILO 5. Implement a risk management framework based on AS/NZS/ISO 31000:2018 including the context establishment, risk identification, risk analysis, risk evaluation, risk treatment
- ILO 6. Classify risk in terms of their severity and likelihood
- ILO 7. Use tools to diagrams to assist in identifying and representing risks
- ILO 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.
Last updated: 11 April 2024
Eligibility and requirements
Prerequisites
Undergraduate students:
One of
Code | Name | Teaching period | Credit Points |
---|---|---|---|
MAST10007 | Linear Algebra |
Summer Term (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
Semester 1 (Dual-Delivery - Parkville)
|
12.5 |
MAST10008 | Accelerated Mathematics 1 | Semester 1 (Dual-Delivery - Parkville) |
12.5 |
No longer available | |||
MAST10022 | Linear Algebra: Advanced | Semester 1 (Dual-Delivery - Parkville) |
12.5 |
AND
One of
Code | Name | Teaching period | Credit Points |
---|---|---|---|
ENGR10005 | Statics | Semester 2 (Dual-Delivery - Parkville) |
12.5 |
GEOM20013 | Applications of GIS | Semester 1 (Dual-Delivery - Parkville) |
12.5 |
ENVS10002 Reshaping Environments
ENGR10003 Engineering System Design 2
Postgraduate Students - Admission into one of the following:
Admission into or selection of one of the following:
- MC-ENG Master of Engineering
- MC-CIVENG Master of Civil Engineering
- MC-SPATENG Master of Spatial Engineering
- 761EM Master of Engineering Management
Corequisites
None
Non-allowed subjects
None
Inherent requirements (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
Last updated: 11 April 2024
Assessment
Description | Timing | Percentage |
---|---|---|
One closed book examination. Intended Learning Outcome (ILO)'s 3, 4 and 5 are addressed in the exam
| During the examination period | 60% |
Assignments totaling 1500 words, due mid-semester. ILOs 1 to 8 are addressed in the assignments
| Mid semester | 15% |
Assignment totaling 1500 words, due end of semester. ILOs 1 to 8 are addressed in the assignments
| End of the teaching period | 15% |
Attendance and contribution to discussion in tutorials. ILOs 1 to 8 are addressed in the contribution in tutorials. | During the teaching period | 10% |
Last updated: 11 April 2024
Dates & times
- Semester 1
Principal coordinator Lihai Zhang Coordinator Saeed Miramini Mode of delivery Dual-Delivery (Parkville) Contact hours 36 hours (Lectures: 2 hours per week; Tutorials: 1 hour per week) Total time commitment 170 hours Teaching period 28 February 2022 to 29 May 2022 Last self-enrol date 11 March 2022 Census date 31 March 2022 Last date to withdraw without fail 6 May 2022 Assessment period ends 24 June 2022 Semester 1 contact information
- Semester 2
Coordinator Alexander Babanin Mode of delivery Dual-Delivery (Parkville) Contact hours Total time commitment 170 hours Teaching period 25 July 2022 to 23 October 2022 Last self-enrol date 5 August 2022 Census date 31 August 2022 Last date to withdraw without fail 23 September 2022 Assessment period ends 18 November 2022 Semester 2 contact information
Alexander Babanin
email: a.babanin@unimelb.edu.au
Time commitment details
170 hours
Last updated: 11 April 2024
Further information
- Texts
Prescribed texts
- Vose, David Risk Analysis: A Quantitative Guide 3rd Edition, John Wiley & Sons Ltd 2008
- Navidi, William Statistics for Engineers and Scientists 2nd Edition, McGraw-Hill 2007
- M. Modarres, M. Kaminskiy, V. Krivtsov Reliability Engineering and Risk Analysis: A Practical Guide, 2 nd Edition, CRC Press, Taylor & Francis Group 2010
- Subject notes
LEARNING AND TEACHING METHODS
Learning and teaching methods include lectures with the involvement of experienced industry professionals who present case studies in their area of expertise, computer laboratory based tutorials and consultation sessions.
INDICATIVE KEY LEARNING RESOURCESPrescribed texts
AS/NZS/ISO 31000: 2009 Risk Management Standard.
Engineers Australia Risk Management Strategies Guide
http://www.engineersaustralia.org.au/membership/risk-management-strategies-guide
CAREERS / INDUSTRY LINKSThis subject uses examples from professional practice to illustrate the assessment items.
- Related Handbook entries
This subject contributes to the following:
Type Name Course Bachelor of Design Course Master of Engineering Course Master of Civil Engineering Course Master of Engineering Management Course Master of Spatial Engineering Course Bachelor of Science Informal specialisation Bachelor of Design Elective Subjects Informal specialisation Science Discipline subjects - new generation B-SCI Specialisation (formal) Environmental Specialisation (formal) Civil with Business Major Civil Engineering Systems Major Environmental Engineering Systems Major Engineering Systems Major Spatial Systems Informal specialisation Environments Discipline subjects Major Spatial Systems - Breadth options
This subject is available as breadth in the following courses:
- Bachelor of Arts
- Bachelor of Commerce
- Bachelor of Design
- Bachelor of Environments
- Bachelor of Fine Arts (Acting)
- Bachelor of Fine Arts (Animation)
- Bachelor of Fine Arts (Dance)
- Bachelor of Fine Arts (Film and Television)
- Bachelor of Fine Arts (Music Theatre)
- Bachelor of Fine Arts (Production)
- Bachelor of Fine Arts (Screenwriting)
- Bachelor of Fine Arts (Theatre)
- Bachelor of Fine Arts (Visual Art)
- Bachelor of Music
- Available through the Community Access Program
About the Community Access Program (CAP)
This subject is available through the Community Access Program (also called Single Subject Studies) which allows you to enrol in single subjects offered by the University of Melbourne, without the commitment required to complete a whole degree.
Entry requirements including prerequisites may apply. Please refer to the CAP applications page for further information.
Additional information for this subject
Subject coordinator approval required
- Available to Study Abroad and/or Study Exchange Students
This subject is available to students studying at the University from eligible overseas institutions on exchange and study abroad. Students are required to satisfy any listed requirements, such as pre- and co-requisites, for enrolment in the subject.
Last updated: 11 April 2024