Chemical and Biological Reaction Engineering: Data Analysis and Kinetics

To design efficient chemical and biological reactors, engineers must first understand how to accurately measure and analyze reaction rates. This text-based course guides you through the foundational principles of data collection, parameter estimation, and statistical modeling in reaction engineering. You will transition from raw laboratory data to reliable, predictive kinetic models. What you'll learn: Understand foundational kinetics and biological reaction engineering principles; Analyze experimental data to determine kinetic parameters for chemical and enzymatic reactions; Calculate cell growth parameters and yield coefficients for microbial systems; Apply statistical analysis methods to evaluate the fit of your kinetic models; Perform model discrimination to select the most accurate reaction mechanism; Practice modern data analysis techniques using structured computational workflows. You will begin by exploring basic terminology and the physical principles of chemical and enzymatic reactions. From there, you will progress to practical data-fitting techniques, statistical validation, and model selection. This course is designed for beginners, engineering students, and entry-level professionals seeking a solid grounding in reaction kinetics. No prior advanced modeling experience is required. Start building your reaction engineering toolkit today.