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I wrote an article for the ACM Queue (also published in CACM) about this very issue called "Statistics for Engineers" http://queue.acm.org/detail.cfm?id=290346
by heinrichhartman 10y ago
I wrote an article for the ACM Queue (also published in CACM) about this very issue called "Statistics for Engineers"
http://queue.acm.org/detail.cfm?id=2903468 http://queue.acm.org/detail.cfm?id=2903468
- bigger_cheese 10y agoI took a "Statistics for Engineers" course while at university. It was mostly focused around ANOVA and hypothesis testing. By the end of the course I was sick of hearing the phrase "Null hypothesis". I wish the course had introduced some more practical applications instead it was very high level and theoretical. Working as an engineer now (Materials Engineering) here is a short list from the top of my head of what I feel are useful statistics applications that were not covered in uni. - Alternative probability distributions (Rosin-Ramler) - Harmonic and Geometric means - Multivariate regression - Statistical Sampling techniques (how to obtain a representative sample and avoid sampling bias) - Statistical process control - Time Series analysis
- heinrichhartman 10y agoThanks for your list. In the IT Operations / Monitoring domain time series models play a large role. At the same time the level of sophistication is rather low. You definetly have to start with the basics when teaching such a course.