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People want to create a better world and planet; however, where and how to start remains the question. This book uses the Systems Engineering problem-solving methodology to frame how each answer impacts the planet when multiple actions are strung together no matter where they take place.
Artificial intelligence and digital engineering have become prevalent in business, industry, government, and academia. However, the workforce still has a lot to learn. This handbook presents the preparatory and operational foundations for the efficacy, applicability, risk, and how to take advantage of these tools and techniques.
This book presents practical guidelines for university research and administration. It uses a project management framework within a systems perspective to provide strategies for planning, scheduling, allocating resources, tracking, reporting, and control of university-based research projects and programs.
Graduate students need guidance that has little to do with their actual classroom performance. They do a better job with their research programs if a self-paced guide is available to them. This book provides such a guide. It covers topics ranging from how to select an appropriate research problem to how to schedule and execute research tasks. Th
This book presents the mathematical foundation for building and implementing industrial control systems. It contains mathematically rigorous models and techniques for control systems in general with specific orientation toward industrial systems. Industrial control encompasses several types of control systems. This book covers some common elements of industrial control systems, including supervisory control and data acquisition systems, distributed control systems, and other generic control system configurations such as programmable logic controllers, which are often found in industrial operations and engineering infrastructure.
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