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Guided learning journeys that build knowledge step by step.
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7808 Paths · page 303 / 781
This advanced learning path equips senior and graduate students with the knowledge and skills to protect critical infrastructure systems. It covers risk management, vulnerability assessment, resilience engineering, and security from a systems engineering perspective, emphasizing the interconnectedness of physical and cyber components.
This learning path guides senior and graduate students through the principles and practices of designing smart city infrastructure using a systems engineering approach. It covers foundational systems thinking, urban systems modeling, IoT architectures, data integration, and citizen-centric service design, culminating in a capstone project that integrates these elements.
This learning path guides senior and graduate students through the application of systems engineering principles to environmental challenges. It covers systems thinking, ecosystem modeling, environmental policy, and sustainability, culminating in a capstone project that integrates these concepts.
A rigorous learning path for senior and graduate students aiming to apply systems engineering principles to the design, development, and operation of space systems. It covers the fundamentals of systems engineering, mission design, spacecraft architecture, and the space environment, culminating in a capstone project that integrates these concepts.
This advanced learning path equips senior and graduate students with the knowledge to design autonomous systems from a systems engineering perspective. It covers autonomy levels, sensing, decision-making, and safety, emphasizing the integration of cyber-physical systems. The path progresses from foundational concepts to advanced design and safety assurance, preparing learners for careers in autonomous systems engineering.
This advanced learning path guides senior or graduate students through the design and analysis of cyber-physical systems (CPS), integrating computation, communication, and physical processes. It covers foundational concepts, modeling and simulation, control theory, real-time systems, networking, security, and verification, culminating in a design project.
This learning path equips senior and graduate students with the knowledge and skills to apply systems engineering principles to healthcare delivery, patient safety, and process improvement. It covers systems thinking, healthcare systems, systems engineering methods, and their application to real-world healthcare challenges.
This advanced learning path equips senior and graduate students with the knowledge and skills to design and manage energy systems using systems engineering principles. It covers energy networks, renewable integration, storage, and smart grids, emphasizing a holistic, complex-systems perspective.
This advanced learning path equips senior and graduate students with systems engineering skills applied to transportation. It covers systems modeling, network analysis, traffic management, and smart transportation, culminating in a capstone project.
This learning path equips systems engineering students with the knowledge and skills to apply data analytics, including statistics, machine learning, and predictive modeling, to engineering systems. It covers foundational concepts, data handling, and practical applications in systems engineering contexts.