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Path
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Learning Path
Systems Thinking Fundamentals → Case Studies in Digital Systems
This learning path equips graduate students with the knowledge to understand and apply digital approaches in systems science. It covers foundational systems concepts, computational methods, and digital technologies such as IoT, cyber-physical systems, and digital twins, culminating in systems integration and digital transformation.
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10 learning steps · 3 phases. Click any step to inspect it and see it on the Knowledge Map.
These nodes are included in this learning path but don't have explicit prerequisite relationships.