Data Analysis

A short course in data analysis

Yes, we have nice fancy machine learning for these huge data sets where we're literally swimming in data

But what about the real world? The real, real world? Where you have to keep your thermocouples from melting, and your pressur sensors cost $400 a pop, and only last for a few experimental runs, and your mass flow controller is acting kind of wonky and has been drifting over the past few days. And how well do I know the temperature? How do I quantify the uncertainty in my instrument's reading, and once I do, how do I use that information?

These are the kinds of problems that engineers come up against in the real world. And it's an important part of data analysis - particularly, analysis of sparse, expensive data.

This is a short course on data analysis for complex, integrated, expensive systems where data is hard to come by.