Statistical Learning & Applications in Quality Engineering

3 credits · College of Engineering catalogue

Advisory Prerequisite: None. Enforced Prerequisite: IOE 466 or STATS 500. (3 credits) Statistical learning and data transformation methods to advance quality control techniques for variation reduction. Focus on feature extraction of waveform signals, change point detection for system monitoring, data pattern recognition for fault diagnosis and Bayes/reinforcement learning for decision making.