Session: Modeling and Simulation

Simulations, visualizations, interactive apps, and notebooks enhance students’ understanding of theoretical concepts in core chemical engineering courses and serve as valuable supplements to laboratory instruction. Computational tools are increasingly essential for optimization, data science, and process analytics. This session explores the integration of computational platforms such as MATLAB, Simulink, Python, Excel, R, and process simulators into chemical engineering theory and laboratory courses. Presenters will also discuss the integration of novel technologies, including mixed reality, and innovative pedagogical approaches, such as incorporating reflective exercises, to enrich student learning further.