Statistics for Chemical and Process Engineers

Prof. Dr. Yuri A. W. Shardt is currently an assistant professor at the University of Waterloo in the Department of Chemical Engineering, working in the field of process identification and monitoring with an emphasis on the development and industrial implementation of soft sensors. Previously, he worked at the University of Duisburg-Essen in the Institute of Control and Complex Systems (Fachgebiet Automatisierungstechnik und komplexe Systeme, AKS) as an Alexander von Humboldt Fellow. He has written 14 papers appearing in such journals as Automatica, Journal of Process Control, IEEE Transactions on Industrial Electronics, and Industrial and Engineering Chemistry Research on topics ranging from system identification, soft sensor development, to process control. He has presented his research at numerous conferences and taught various courses in the intersection between statistics, chemical engineering, process control, EXCEL®, and MATLAB®. Prof. Dr. Shardt completed his doctoral degree under the supervision of Prof. Dr. Biao Huang at the University of Alberta. His thesis examined the methods for extracting valuable data for system identification from data historians for application to soft sensor design. In addition to his academic work, he has spent considerable time in industry working on implementing various process control solutions. He also has interests in linguistics, as well as software internationalisation and localisation.

lt;p>1. Introduction to Statistics and Data Visualisation.- 2. Theoretical Foundation for Statistical Analysis.- 3. Regression.- 4. Design of Experiments.- 5. Modelling Stochastic Processes with Time Series Analysis.- 6. Modelling Dynamic Processes Using System Identification Methods.- 7.- Using MATLAB® for Statistical Analysis.- 8 : Using Excel® to do Statistical Analysis.