The course is broken down into 10 modules. Each module is made up of 4 x 1-hour lessons delivered over a period of two weeks. But don't forget ... you will have access to the recorded lessons for 12 months.

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The fundamental aim is to introduce students to reliability engineering. This is only the start of your reliability and RAM learning process, but you will be able to go back to your workplaces armed with the ability to understand the value of reliability and how it helps your business. Which makes you a better engineer.

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Module #1 - Why is reliability valuable to you? Where we make the case for reliability and tie it to value metrics that matter for not only you, but your team or organization.

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Module #2 - What is reliability to your organization? Where we talk about reliability and randomness, common reliability metrics, methods for making reliabiility happen and how you go about setting reliability goals or specifications.

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Module #3 - How do we stop failure happening? Where we examine causality and how it allows us to understand what needs to happen for failure to occur, how activities like Failure Mode and Effects Analyses (FMEAs) can use this information to prvent failures, and how all of this relates to risk.

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Module #4 - How do you CREATE reliability? Where we teach you how to allocate goals to your different design teams or suppliers becore the go about 'smart design' which includes 'fault tolerance,' along with how we model the reliability of our products, systems or services.

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Module #5 - How do you analyze reliability performance? Where we go over basic math, probability, statistics - and how we use this to describe the nature of random phenomena (like failure).

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Module #6 - How do we describe (random) failure? Where we teach you what 'probability distributions' are, along with commonly used ones like the exponential, normal, lognormal and Weibull distributions.

 

Module #7 - How do our components fail? Where we teach how you model reliability (and failure) and use data gathered from sources like testing to infer information about key reliability metrics

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Module #8 - Studying failure...  Where we talk aobut how you go about creating data (sample size determination and use tools like Root Cause Analysis (RCA), Failure Reporting and Corrective Action Systems (FRACAS), Design of Experiments (DoE) and Probability plotting

 

Module #9 - Understanding data... Where we teach you about how you gain confidence in our conclusions (and use cool techniques like Bayesian analysis) to inform things like manufacturing and maintenace

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Module #10 - How do we keep our things working? Where we teach you how to optimize maintenance and create logistics systems to support your products, systems or services (and we focus on passing the CRE Exam)