Aerospace Engineering Technical Elective Program - Focus Areas

This book covers a range of key topics of network automation for network and security management, including resource allocation and scheduling, network planning and routing, encrypted traffic classification, anomaly detection, and security operations.

This book describes how this planetary network is fueling a shift toward undemocratic governance and increased inequality. Drawing on more than a decade of research, the author describes how AI is a technology of extraction: from the energy and minerals needed to build and sustain its infrastructure, to the exploited workers behind 'automated' services, to the data AI collects from us.

The remarkable progress in algorithms for machine and deep learning have opened the doors to new opportunities that can shape the future of technology so as to better serve human needs. The goal is not to replace people, but to empower them by making design choices that give humans control over technology.

This book discusses machine learning and artificial intelligence for agricultural economics. It is written with a view towards bringing the benefits of advanced analytics and prognostics capabilities to small scale farmers worldwide. It provides data science and software engineering teams with the skills and tools to fully utilize economic models to develop the software capabilities necessary for creating lifesaving applications.