Prior knowledge of Electronics and Telecommunications

1. Demonstrate a deep systematic understanding of the application of advanced topics in Internet of Things (IoT) and related technologies. (AHEP 3: EA5m, P9m, P10m)
Enquiry
Knowledge and Understanding
Learning

2. Analyse complex real-life /industrial problems and apply appropriate analytical approach, experimental and simulation techniques to solve these problems using the IoT and the related technologies. (AHEP 3: SM8M, D9M)
Analysis
Knowledge and Understanding
Application

3. Critically evaluate and compare the possible solutions of the investigated complex problems. (AHEP 3: EA5m, D11M)
Problem Solving
Reflection

4. Plan, design, develop and present an optimised set of resources for a desired application. (AHEP 3: D11M, P10m, G1)
Application
Communication

Assessment 1 is a group coursework that includes research work and lab-based work which will assess Learning Outcomes 1, 2, 3 and 4. AHEP3’s assessed are SM8M, EA5m, D9M, D11M, P9m, P10m and G1
Assessment 2 is a group-based presentation and will assess learning outcomes 2 and 3. AHEP3’s assessed are SM8M, D9M, EA5m and D11M.

Note: assessment must be passed in order to pass the module.

You will be provided with formative assessment and feedback via the VLE throughout the semester.

This module will allow you the opportunity to acquire a deep understanding of the latest technologies that integrate together and build Internet of Things (IoT) based systems that contribute to various real-life applications and challenges. The module will cover several topics linked to the IoT field such as: wireless/wired communication, Wireless Sensor Networks (WSNs), sensing/actuating, signal conditioning, data acquisition systems, signal processing platform and embedded systems and System-on-Chip (SoC) design.
In addition to the previous topics, the module will also explore the related system sustainability, entertainment, health and safety issues.

This module will enable students to gain understanding, apply knowledge, analyse and evaluate problems and create solutions through a variety of activities, including:
- Learning on all aspects of the indicative content will be facilitated by classroom-based lectures, tutorials, laboratory based practical experiments.
- Independent study: reading, teamwork activities, information gathering, presentations, student centred learning, assignment preparation.

Arshdeep Bahga, Vijay K. Madisetti, (2014), "Internet of Things: A Hands-on Approach", VPT, ISBN-13: 978-0996025515.

Adrian McEwen & Hakim Cassimally, (2013), "Designing the Internet of Things", John Wiley & Sons, ISBN-13: 978-1118430620.

Cuno Pfister, (2011), "Getting Started with the Internet of Things", Maker Media, Inc. ISBN-13: 978-1449393571.

Ovidiu Vermesan & Peter Friess, (2013), "Internet of Things: Converging Technologies for Smart
Environments and Integrated Ecosystems", River Publishers, ISBN-13: 978-8792982735.

Greengard, S., 2021. The internet of things. MIT press. ISBN- 9780262527736

Bunz, M. and Meikle, G., 2017. The internet of things. John Wiley & Sons. ISBN - 978-1-509-51746-6

Embedded systems laboratory kits.
Scopes and signal generators.
NI equipment.
Software packages (MATLAB, LABVIEW)

This module will allow you the opportunity to acquire a deep understanding of the latest technologies that integrate together and build Internet of Things (IoT) based systems that contribute to various real-life applications and challenges. The module will cover several topics linked to the IoT field such as: wireless/wired communication, Wireless Sensor Networks (WSNs), sensing/actuating, signal conditioning, data acquisition systems, signal processing platform and embedded systems and System-on-Chip (SoC) design.
In addition to the previous topics, the module will also explore the related system sustainability, entertainment, health and safety issues.