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Guided learning journeys that build knowledge step by step.
category · Learning · slug · learning · 7800 条 Path
共 7800 条 Path · 第 7 / 780 页
This learning path equips technology managers with a deep understanding of sociotechnical systems (STS) theory, emphasizing the interdependence of social and technical subsystems in organizational design. It covers foundational systems concepts, core STS principles, human factors, and practical application to modern digital work systems, enabling learners to design resilient and human-centered organizations.
This learning path equips managers with systems thinking concepts and tools to analyze organizational dynamics, make better decisions, lead change, and improve performance. It covers foundational principles, system archetypes, modeling, and practical applications in management contexts.
This path equips systems engineers with the knowledge and skills to apply Model-Based Systems Engineering (MBSE) in practice. It covers the foundational concepts, the SysML modeling language, tooling, requirements traceability, simulation, and verification, culminating in the application of MBSE to real-world systems engineering challenges.
This learning path equips practicing systems engineers with the advanced knowledge and skills needed to apply systems engineering principles in real-world projects. It covers life cycle management, requirements engineering, system architecture, integration, verification and validation, risk management, quality, safety, and the professional competencies required for successful implementation.
A professional learning path that equips business professionals with systems thinking concepts and tools to analyze organizational dynamics, market systems, strategy, innovation, and decision making. The path progresses from foundational systems concepts to business-specific applications, culminating in a capstone project.
This advanced learning path equips policy students with systems thinking and modeling skills to analyze complex policy problems, design decision support tools, and conduct scenario planning. It bridges foundational systems concepts with practical applications in policy analysis and decision-making.
This learning path equips public health students with the knowledge and skills to apply systems science methods—such as system dynamics modeling, network analysis, and complexity thinking—to understand and address public health challenges. Learners will explore how feedback loops, delays, and nonlinearities shape health system dynamics, disease spread, and policy outcomes, and will practice building and analyzing models to inform intervention design.
This advanced graduate-level path equips environmental science students with the knowledge and skills to understand and construct models of environmental systems. It covers foundational systems science, modeling techniques, and applications to climate, water, land use, pollution, and sustainability, emphasizing the integration of human and natural processes.
This learning path introduces business and management students to systems thinking and its application to organizations. It covers foundational systems concepts, organizational structure and culture from a systems perspective, change management, and practical applications for diagnosing and improving organizational performance.
A graduate-level learning path for urban studies students to understand and apply systems modeling to urban systems, covering foundational concepts, core modeling approaches, and applications in urban dynamics, land use, transport, infrastructure, sustainability, and smart cities.