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 platforms and embedded systems and System-on-Chip (SoC) design.

In addition to the afore-mentioned topics, the module will also explore the related system’s sustainability, security and health and safety issues.

A 2500 words individual report that encompasses research and laboratory-based work, weighted at 50% and assessing learning outcomes 1, 2, 3, and 4. Meeting AHEP 4 Outcomes: M1, M5, and M17

A 3000 words lab-based team portfolio based on design exercises and practical implementation, weighted at 50% and assessing learning outcomes 2, 3, and 4. Meeting AHEP 4 Outcomes: M1, M5, M7, M16, and M17

Professional Body requirements mean that a minimum overall score of 50% is required to pass a module, with each element of assessment requiring a minimum mark of 40% unless otherwise stated.

Note: Assessment 2 is a CORE assessment and must be passed with a mark of 50% or above in order to pass the module.

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.

1. Demonstrate a profound and systematic understanding of the implementation of intricate concepts within the Internet of Things (IoT) and related technologies. (AHEP 4: M1)

Enquiry,
Knowledge and Understanding,
Learning

2. Analyse intricate real-world industrial challenges and employ suitable analytical methods, along with experimental and simulation techniques, to resolve these issues by leveraging the Internet of Things (IoT) and associated technologies. (AHEP 4: M1, M5)

Analysis,
Knowledge and Understanding,
Application

3. Critically evaluate and compare IoT-based solutions for complex real-life problems. (AHEP 4: M1, M5)

Problem Solving,
Reflection

4. Demonstrate effective teamwork, including planning, management, and collaborative efforts with others to achieve a common goal in order to plan, design, develop, and present an optimised set of resources for a specific application. (AHEP 4: M5, M7, M16, M17)

Application,
Communication

Team Work

Embedded systems laboratory kits

Microcontroller (such as Arduino, Raspberry Pi or equivalent) and various sensors

Scopes and signal generators

NI equipment

Software packages (such as MATLAB, LABVIEW or equivalent)

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

Bunz, M., & Meikle, G. (2017). The Internet of Things. John Wiley & Sons. ISBN–13: 978-1509517459.

Greengard, S. (2021). The Internet of Things. MIT Press. ISBN-13: 978-0262542623.

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

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

Rao, G. V. K. (2022). Design of Internet of Things. CRC Press. ISBN–13: 978-1032300498.

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

Electronics and Telecommunications play a vital role in everyday life in making systems run seamlessly without users noticing. You will work as a team to propose, design and build an electronic Internet of Things (IoT) based system in order to solve a problem. You will decide on a problem that can be solved using IoT-based technologies such as suitable sensors, actuators and wireless technologies and work as a team to design and build a proof-of-concept prototype. This will include defining the problem, identifying suitable hardware and software and implementing the entire system.