Module Descriptor School of Computer Science and Statistics
Module Code | CS7NS3 |
Module Name | Next Generation Networks |
Module Short Title | |
ECTS | 5 |
Semester Taught | MT |
Contact Hours | 3 per week |
Module Personnel | Dr Emanuele Di Pascale and Prof. Nicola Marchetti |
Learning Outcomes | On successful completion of this module a student will be able to: NS3LO1 Describe the basic characteristics, structure and operation of wired and wireless networks. NS3LO2 Identify appropriate architectural models, systems strategies and use cases for a range of modern network concepts. NS3LO3 Reason about the challenges and impediments that new, disruptive networking paradigms encounter, as well as their appropriate application. NS3LO4 Implement solutions to key challenges in modern network architecture, e.g., scalability, cost effectiveness and energy efficiency. NS3LO5 Implement solutions to key challenges in the wireless space e.g. mobility, interference, energy consumption. NS3LO6 Assess the operation of medium access protocols in contemporary wireless standards for local and wide area networks, and Internet of Things, and discuss co-existence between different types of systems. |
Learning Aims | This module aims to provide both a theoretical and practical understanding of modern and next generation networking and systems concepts, principles, practices and technologies. Contemporary and emerging wired and wireless network systems are targeted. Students will be exposed to a variety of system platforms, architectures, protocols, and algorithms, with a strong focus on key design principles and practices e.g. performance, scalability, mobility, virtualization. The module also aims to highlight some of the relevant ongoing research and innovation in the space taking place within Ireland and internationally. |
Module Content | Specific topics addressed in this module include:
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Recommended Reading List |
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Module Prerequisites | |
Assessment Details | Annual Assessment:
Assessment in the Supplemental session will be based on 100% exam. |
Module Website | |
Academic Year of Data | 2017/18 |