615 Advance topics in Engineering Quality

The course will allow PhD students to apply advance level statistical process control (SPC) techniques to monitor univariate and multivariate quality characteristics for industrial and engineering processes, applications of quality engineering principles in the workplace including manufacturing processes and production operations,  fundamental methods about anomaly and change detection in processes. Methods covered include the univariate and multivariate analysis for continuous and discrete data, data pre-analyses (such as dimension reduction) for process monitoring and performance analysis.
This course is designed for PhD students in the industrial engineering fields to learn about the advance concepts and practical tools for performing anomaly and change detections. It will help doctoral students in both system engineering and manufacturing fields broaden their knowledge base and get exposed to new applications.