Preparing your Path…
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Path Catalog
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7801 Paths · page 283 / 781
This learning path provides a comprehensive understanding of Computer-Integrated Manufacturing (CIM), covering its core principles, enabling technologies, and implementation strategies. Learners will explore the integration of manufacturing systems, data communication, databases, and manufacturing execution systems, and apply this knowledge to real-world scenarios.
This learning path equips senior manufacturing engineering students with the knowledge to design and operate flexible manufacturing systems (FMS). It covers FMS components, control architectures, scheduling, and real-world case studies, building from foundational manufacturing concepts to advanced system design and operation.
This learning path equips senior or graduate students with the skills to apply data analytics to manufacturing operations. It covers data collection, analysis, predictive modeling, and visualization, grounded in statistics and programming, with a focus on real-world manufacturing challenges.
This advanced learning path equips senior or graduate students with the skills to apply numerical modeling, simulation, and machine learning to manufacturing problems. It covers essential mathematics, programming, computational mechanics, process modeling, and data-driven optimization, culminating in integrated projects that mirror real-world manufacturing challenges.
This learning path equips graduate students with advanced statistical methods for quality engineering, focusing on design of experiments, robust design, and reliability. It builds from foundational probability and statistics through experimental design, robust parameter design, and reliability analysis, culminating in integrated case studies.
This graduate-level path develops a rigorous theoretical understanding of materials processing, covering constitutive modeling, plasticity, fracture, and processing maps. It builds from continuum mechanics and materials science fundamentals through advanced topics, emphasizing the physical mechanisms governing material behavior during processing and the tools used to design and optimize manufacturing processes.
This graduate-level learning path provides a systematic understanding of the physics that govern manufacturing processes. It covers the mechanics of deformation, heat transfer, and phase transformations, and integrates them to analyze and model manufacturing operations. The path emphasizes the underlying principles and their application to real processes, preparing learners for advanced research or engineering practice.
This advanced learning path equips senior university students with a deep understanding of sustainable manufacturing. It covers the fundamentals of manufacturing systems, environmental impacts, core sustainability principles, green manufacturing strategies, life-cycle assessment, recycling, and system-level integration, enabling learners to analyze and design sustainable manufacturing systems.
This path guides senior engineering students through the principles and processes of manufacturing at micro and nano scales. It covers essential physics, materials science, and metrology, then explores key technologies like lithography, micromachining, nanoimprinting, and MEMS, culminating in an integrated understanding of how these methods are applied in real devices.
This advanced learning path equips senior engineering students with the knowledge and skills to model and simulate manufacturing processes using finite element analysis (FEA). It covers the theoretical foundations, practical simulation techniques, and process optimization strategies necessary for systematic learning.