Generative AI in 34368 Global Communication Infrastructure and Design
Course Objective To provide students with a comprehensive understanding of the principles, technologies, and strategies involved in designing and managing global communication networks. Target Audience Graduate students specializing in telecommunications, network engineering, or related fields. Use of generative AI in Assignments (which are part of the exam) Course content from course database The focus of the course will be on providing the students of a general understanding of the complexity of the core and transport infrastructure. It will contain topics such as network topologies, network layering and stratification, reference models, complex communication systems, transmission and multiplexing protocols and their internal relation, logical vs. physical networks, traffic characterization, network resilience, network control and management, node architecture, energy efficiency, quality of service (QoS) and Quality of Experience, and transition from legacy to next generation networks. Assignments, groupwork, peer-evaluation and presentations are an integral part of the course. ...