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Path Catalog
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This advanced graduate-level path provides a comprehensive understanding of bioprocess engineering, covering microbial fermentation, cell culture, and downstream processing. It integrates biochemical engineering principles with practical bioprocess design, preparing learners to analyze and design bioprocesses.
This advanced graduate-level learning path guides learners through the physics of microchannel flow, mixing strategies, droplet generation, and practical applications in chemical engineering. It builds from fundamental fluid mechanics to device design and real-world applications.
This learning path equips graduate chemical engineering students with the knowledge and skills to apply artificial intelligence, particularly machine learning and neural networks, to optimize chemical processes. It covers essential foundations in process engineering, data science, and AI, then focuses on applications such as fault detection and process control. The path emphasizes practical implementation and critical evaluation of AI methods in chemical engineering contexts.
This path introduces graduate chemical engineering students to the fundamental principles of nanotechnology and its applications in chemical processes, focusing on nanomaterials synthesis, catalysis, and sensing. It covers essential concepts from quantum effects and synthesis methods to catalytic mechanisms and sensor design, culminating in the integration of these technologies into chemical process intensification.
This advanced professional learning path equips industry professionals with a comprehensive understanding of chemical engineering principles as applied across the oil and gas value chain. It covers the fundamental thermodynamics and fluid flow underlying upstream production, the separation and reaction engineering central to midstream processing, and the refinery operations and process safety that define downstream activities. The path emphasizes practical applications, process integration, and safety, preparing learners to tackle complex challenges in the industry.
This learning path equips plant engineers with a systematic methodology to identify and solve process problems. It covers data-driven problem identification, root cause analysis, and solution development within the context of process design, emphasizing practical application and safety.
This learning path equips process engineers with the knowledge to design membrane-based separation systems. It covers membrane fundamentals, module configurations, application-specific considerations, and design methodology, culminating in a capstone design project.
This advanced professional path equips materials engineers with the knowledge to understand corrosion mechanisms, select appropriate materials, and implement effective prevention strategies in chemical plant environments. It covers fundamentals, localized corrosion, environmental factors, materials selection, and protection methods, culminating in design and risk management.
This learning path equips quality engineers with the knowledge and skills to apply quality management principles to chemical processes. It covers basic statistics, statistical process control (SPC), Six Sigma methodology, and root cause analysis, providing a structured approach to process improvement and quality assurance.
This learning path equips chemical engineers and managers with the core skills to plan, execute, and control chemical engineering projects. It covers scheduling, cost estimation and control, communication, and contract management, building from foundational project management principles to advanced application in the chemical industry.