Undergraduate and Graduate Courses
- CHE 446: Process Dynamics and Control
Syllabus
Process dynamics is concerned with the study of transient and steady-state behavior of processes. Process control is concerned with the "control" or "manipulation" of process behaviour so that the process operates close to the desired operating point even in the presence of inevitable upsets and disturbances. Process control plays a central role in the efficient and trouble-free operation of modern processing plants. This course introduces the concepts of systems modeling, transient response analysis and feedback control.
- CHE 573: Signal Processing for Chemical Engineers
Syllabus
The main objective of this course is to introduce commonly used powerful information processing techniques, namely, temporal and spectral analysis via (1) correlation analysis, (2) Fourier transforms (spectral analysis) and (3) filtering methods (including filter design) for practical data analysis. The focus of this course is on discrete-time signals. A systematic development of the theoretical background is supplemented with suitable applications to real-life data. The course provides the student with a hands-on experience in applying these tools to real-life data from the process industry.
- CHE 358: Process Data Analysis
Syllabus
This course focuses on the analysis of engineering problems and process data using statistical tools. The course consists of four teaching modules including (1) multivariable linear regression analysis, (2) nonlinear regression analysis, (3) design of experiments and (4) selected advanced topics. A number of practical engineering problems, including two physical experiments, are provided throughout the course. Upon completion of this course, the student will be able to formulate an engineering problem in a statistical framework and to analyze and interpret the results.