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HE Unit Template
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Basic Quantitative Skills for Reliability Engineering
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MREGC5101 - Basic Quantitative Skills for Reliability Engineering
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20250100
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2026
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Course
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Unit
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2.1
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2026-09-30
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2026-09-30
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Engineering
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Institute of Innovation, Science & Sustainability
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Engineering
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Postgraduate - Coursework
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15
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.125
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030799
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Mechanical and Industrial Engineering and Technology, n.e.c.
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030799 - Mechanical and Industrial Engineering and Technology, n.e.c.
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<a href="http://www.federation.edu.au/locate/unit/mregc5101">View unit fees</a>
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Graded (e.g. HD, D, C, etc)
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Bachelor Honours Degree, Graduate Certificate, Graduate Diploma
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Introductory
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<p>This unit provides an introduction to reliability mathematics for a conceptual and quantitative understanding of reliability theories. It covers reliability data analysis using distributions such as Weibull analysis, Mean time to failures, Mean time between failures, Mean time to repair and their impacts on reliability, availability and maintainability. Topics will also include the analysis of failure data for reliability assessment and improvement, introduction to reliability software packages and its applications in reliability engineering for asset management and maintenance decisions. This is an important foundational unit for students interested in practicing reliability engineering.</p>
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<p>This unit covers failure data analysis for reliability, availability and maintainability. <br>
Introduction to Reliability Statistics.<br>
Weibull Analysis and computer based models.<br>
Random Failures and confidence Limits.<br>
Preventive replacements and financial analysis of capital equipment.<br>
Reliability, maintainability, availability and repair pools.</p>
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<p>Where supplementary assessment is available a student must have failed overall in the Unit but gained a final mark of 45 per cent or above, has completed all major assessment tasks (including all sub-components where a task has multiple parts) as specified in the Unit Description and is not eligible for any other form of supplementary assessment.</p>
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Semester
Semester 1
Semester 2
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Year
2026
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Overview
Key information
Requisites
Learning outcomes
Assessment
Parent Region
Overview
Unit description
<p>This unit provides an introduction to reliability mathematics for a conceptual and quantitative understanding of reliability theories. It covers reliability data analysis using distributions such as Weibull analysis, Mean time to failures, Mean time between failures, Mean time to repair and their impacts on reliability, availability and maintainability. Topics will also include the analysis of failure data for reliability assessment and improvement, introduction to reliability software packages and its applications in reliability engineering for asset management and maintenance decisions. This is an important foundational unit for students interested in practicing reliability engineering.</p>
Unit content
<p>This unit covers failure data analysis for reliability, availability and maintainability. <br> Introduction to Reliability Statistics.<br> Weibull Analysis and computer based models.<br> Random Failures and confidence Limits.<br> Preventive replacements and financial analysis of capital equipment.<br> Reliability, maintainability, availability and repair pools.</p>
Key information
Institute / school:
Institute of Innovation, Science & Sustainability
Discipline:
Engineering
Study level:
Postgraduate - Coursework
Credit points:
15
EFTSL:
0.125
Field of education:
030799 - Mechanical and Industrial Engineering and Technology, n.e.c.
Grade scheme:
Graded (e.g. HD, D, C, etc)
Placement component:
No
Fee information:
<a href="http://www.federation.edu.au/locate/unit/mregc5101">View unit fees</a>
Requisites
Prerequisite
None
Corequisite
None
Exclusion
<p>must not have completed "<a href="/ords/r/dev/fed_occ/course?p6_code=MREGC5005" target="_blank">MREGC5005</a>"</p>
Learning outcomes
Learning outcomes
<p>On successful completion of this unit, students are expected to gain the following [K]nowledge, [S]kills and [A]pplication of knowledge & skills</p>
Learning Outcomes
Ref
Outcome
K1
<p>Associate various mathematical concepts to calculation techniques for reliability problems.</p>
K2
<p>Distinguish where computer software can be used for studying problems in reliability.</p>
K3
<p>Outline the study of mathematical techniques for preventive replacement analysis.</p>
S1
<p>Analyse reliability data, including burn-in, random and wear out failures, and how to take into account those items which have not failed.</p>
S2
<p>Estimate key parameters such as Mean Time Between Failures (MTBF) and the estimation of confidence limits.</p>
S3
<p>Determine preventive replacement policy.</p>
S4
<p>Evaluate reliability, availability and maintainability intervention options.</p>
A1
<p>Select and apply appropriate quantitative tools for analysing reliability problems.</p>
A2
<p>Evaluate the tools and techniques available for analysing failure data in reducing downtimes.</p>
A3
<p>Decide on interventions using underlying principles for maintenance planning and risk based decision-making.</p>
Assessment
Learning Tasks and Assessment
Ref
Learning task
Assessment type
Weighting
Learning outcomes assessed
1
<p>Analysis of failure data and report on preventive replacement policies.</p>
<p>Analysis and report.</p>
<p>10% - 40%</p>
K1, K2, K3, S1, S2, S3, S4, A1, A2, A3
2
<p>Analysis of financial aspects and report on replacements of capital equipment.</p>
<p>Analysis and report.</p>
<p>10% - 40%</p>
K1, S4, A1, A2, A3
3
<p>Examination or online test</p>
<p>Examination or online test.</p>
<p>60% - 40%</p>
K1, K2, K3, S1, S2, S3, S4, A1, A2, A3
Supplementary assessment available:
Yes
Supplimentary assessment information:
<p>Where supplementary assessment is available a student must have failed overall in the Unit but gained a final mark of 45 per cent or above, has completed all major assessment tasks (including all sub-components where a task has multiple parts) as specified in the Unit Description and is not eligible for any other form of supplementary assessment.</p>
Key information
Institute / school:
Institute of Innovation, Science & Sustainability
Discipline:
Engineering
Study level:
Postgraduate - Coursework
Credit points:
15
EFTSL:
0.125
Field of education:
030799 - Mechanical and Industrial Engineering and Technology, n.e.c.
Grade scheme:
Graded (e.g. HD, D, C, etc)
Placement component:
No
Fee information:
<a href="http://www.federation.edu.au/locate/unit/mregc5101">View unit fees</a>
Additional information
Add Info Static Text
Internal reference: MREGC5101 - U2.1