Something I never learned while earning my ChemE degree: How do I handle disagreements between model predictions and experimental data?
During my undergrad and graduate ChemE engineering courses, we never discussed how to reconcile the error-prone experimental data with the modeling equations. We always just assumed solving equations was “good enough” to be a chemE.
As I’m applying for positions, I realize I don’t know what to do with actual data…all I’ve done is model it.