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Path Catalog
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This learning path equips senior and graduate chemical engineering students with the numerical methods and computational tools needed to solve realistic chemical engineering problems. It covers mathematical foundations, numerical techniques for integration and differential equations, and introduces computational fluid dynamics (CFD) with hands-on MATLAB/Python implementation.
This graduate-level learning path systematically covers the fundamentals of adsorption, catalyst characterization, and heterogeneous catalysis, integrating principles from reaction engineering and surface chemistry. It progresses from foundational concepts to advanced applications, ensuring a coherent understanding of catalytic processes.
A graduate-level learning path for chemical engineers focusing on rigorous mathematical modeling of transport processes. It covers conservation equations, turbulence, and complex fluids, building from foundational mathematics and thermodynamics through advanced modeling techniques.
This graduate-level path develops the theoretical foundations and practical skills needed to model the thermodynamic behavior of chemical systems, including pure fluids and mixtures. It covers classical thermodynamics, equations of state, activity coefficient models, and electrolyte thermodynamics, emphasizing the connections between molecular interactions and macroscopic properties.
This learning path bridges chemical engineering fundamentals with biological process design, covering enzyme kinetics, cell culture, bioreactor design, mass transfer, and bioseparations. It prepares senior students for a career in biochemical engineering by integrating reaction engineering and transport phenomena with biological systems.
This learning path covers the fundamental chemistry and reaction engineering of polymer synthesis, including step-growth and chain-growth mechanisms, kinetics, and reactor design, followed by polymer characterization and processing techniques. It is designed for senior chemical engineering students aiming to build career skills in polymer engineering.
This learning path guides senior chemical engineering students through the fundamentals of process simulation using Aspen Plus, covering property methods, unit operation models, flowsheet construction, and sensitivity analysis for process optimization. It bridges theoretical chemical engineering principles with practical simulation skills.
This advanced learning path guides senior chemical engineering students through the design of multicomponent distillation, azeotropic distillation, and membrane-based separation systems. It builds from fundamental thermodynamics and transport phenomena to rigorous design and integration, emphasizing the interconnections between these separation technologies.
This learning path equips senior chemical engineering students with the knowledge and skills to model and design complex reactor systems. It covers non-ideal flow, heterogeneous catalysis, and biochemical reactions, building from fundamental reaction kinetics and reactor design principles to advanced modeling techniques.
This advanced learning path equips senior chemical engineering students with the skills to evaluate process economics and perform optimization. It covers cost estimation, profitability analysis, and optimization methods, culminating in a capstone project integrating these concepts for process design.