- UCAS course code
- H605
- UCAS institution code
- M20
MEng Electrical and Electronic Engineering / Course details
Year of entry: 2024
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Course unit details:
Networks and Internet of Things
Unit code | EEEN40482 |
---|---|
Credit rating | 15 |
Unit level | Level 4 |
Teaching period(s) | Semester 2 |
Available as a free choice unit? | No |
Overview
Introduction to the IoT and Network Basics : Wireline, ad hoc and sensor networks, PANs, LANs, WANs, Node and network technology, applications and links to enabling technologies Protocols, state machines, the protocol stack, infrastructure vs ad hoc, reliable transmission.
Networking for IoT: Revision of basic networks: Wired vs wireless, protocols, state machines, the protocol stack, infrastructure vs ad
hoc, channel access, reliable transmission, addressing, routing, congestion.
IoT Security Basic IoT security requirements, introduction to cryptography.
Basics about the estimation theory, and practical algorithm for localization in IoT networks.
Network performance, modelling and simulation: Performance metrics, review of Markov chains, simple queuing theory and application to
protocols, discrete event simulation.
Pre/co-requisites
Unit title | Unit code | Requirement type | Description |
---|---|---|---|
Data Networking | EEEN30111 | Pre-Requisite | Compulsory |
Aims
The unit aims to: Provide a thorough introduction to the Internet of Things (IoT) in general and to those aspects of computer networks that underpin the IoT in particular.
Learning outcomes
On successful completion of the course, a student will be able to:
ILO 1: Appraise the importance of IOT and its dependence on enabling technologies. scope and applications.
ILO 2: Identify the requirements, structure and implementation of IoT platforms, in terms of hardware and software.
ILO 3: Appraise the need of the protocol stack and the issues and techniques relevant at each layer.
ILO 4: Assess the networking requirements of different IoT applications, particularly related to localization and estimation.
ILO 5: Be able to reason about situations arising in the use of IoT in terms of MAC, routing and transport protocols.
ILO 6: Apply appropriate statistical tools, including queuing and estimation theories, to model and assess the behaviour and performance of IoT in different environments.
Teaching and learning methods
Approaches to be employed will include:
Face-to-face lectures
Recorded lectures
On-line quizzes
Tutorials/problems classes
Assessment methods
Method | Weight |
---|---|
Other | 20% |
Written exam | 80% |
Unseen written exam (80%)
Online test (2%)
Network simulation (8%)
Lab exercise report (10%)
Feedback methods
Standard feedback on exam following Exam Board.
Immediate feedback on online test.
Network simulation - mark plus feedback 3 weeks after submission.
Lab report - mark plus feedback 3 weeks after submission.
Study hours
Scheduled activity hours | |
---|---|
Assessment written exam | 3 |
Lectures | 33 |
Tutorials | 32 |
Independent study hours | |
---|---|
Independent study | 82 |
Teaching staff
Staff member | Role |
---|---|
Fumie Costen | Unit coordinator |
Zhiguo Ding | Unit coordinator |