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Transport Networks (Synchronous Learning)

Name: Transport Networks (Synchronous Learning)
Price: 1025.00 SGD

Training Provider: NATIONAL UNIVERSITY OF SINGAPORE

Course Reference: TGS-2025055799

S$1,025

Original: S$2,050

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About This Course

The objectives of this course include the imparting of knowledge and providing practical insights in various types of transport networks. At the completion of the course, the participants will be able to: • Understand different types of transport networks • Learn the functionalities and working principles of various transport networks • Learn the benefits, architecture, routing and management techniques for circuit switching based optical transport networks- Synchronous Optical Networks (SONET)/SDH and Wavelength Division Multiplexing (WDM). • Learn the benefits, architecture, routing and management techniques for packet switching transport networks- Carrier Ethernet, Multiprotocol Label Switching (MPLS) and Software-defined WAN. • Gain practical knowledge and insights in the transport networks.

What You'll Learn

This course, Transport networks, spreads over a series of 4 sessions, which covers the following key aspects - such as transport networks, architectures and hierarchies. • Transport network architecture: access, aggregation, metro, and core networks • Synchronous Digital Hierarchy or (SDH)/ Synchronous Optical Networks (SONET): Multiplexing, optical carrier (OC) hierarchy, network elements, Resilience • Wavelength Division Multiplexing (WDM): Principle, network elements, architectures, client layers vs WDM optical layer, SDH/SONET-over WDM, point-to-point vs wavelength selective networks, control and management • Multiprotocol Label Switching (MPLS): Principle, label switched paths, explicit routing, tunneling, MPLS Transport Profile (MPLS-TP) • Carrier Ethernet: Services, attributes, architecture, management • Software Defined Wide Area Network (SD-WAN): Principle, services, architecture, design options

Entry Requirements

- Diploma in Electrical Engineering, Computer Science, or a related field, OR

- Bachelor's Degree in Science, Technology, Engineering or Mathematics (STEM) preferred. Other disciplines will also be considered.