EE 390C: Statistical Methods in Engineering and Quality Assurance

The interpretation of data from designed experiments and production processes. Topics include probability distributions, confidence intervals, analysis of variance, hypothesis testing, factorial designs, and quality control data.

Course Level: 

Graduate

Prerequisites: 

Graduate standing in engineering and a course in probability and statistics, or graduate standing and consent of instructor.