Module Descriptors
INTERNET OF THINGS DEVICES
ELEC71140
Key Facts
Digital, Technology, Innovation and Business
Level 7
15 credits
Contact
Leader: Masum Billah
Hours of Study
Scheduled Learning and Teaching Activities: 48
Independent Study Hours: 102
Total Learning Hours: 150
Assessment
  • Individual Assignment - 3000 words weighted at 50%
  • Group Presentation - 20 minutes weighted at 50%
Module Details
LEARNING STRATEGIES
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.
MODULE LEARNING OUTCOMES
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)
2. Analyse complex real-life /industrial problems and apply appropriate analytical approaches, and experimental and simulation techniques to solve these problems using the IoT and related technologies. (AHEP 3: SM8M, D9M, P11m)
3. Critically evaluate and compare IoT-based solutions for complex real-life problems. (AHEP 3: EA5m, D11M)
4. Plan, design, develop and present an optimised set of resources for a desired application. (AHEP 3: D11M, P10m, G1)
MODULE ADDITIONAL ASSESSMENT DETAILS
Assessment 1 is a 3000 words report that includes research work and lab-based work which will assess Learning Outcomes 1, 2, 3 and 4. Meeting AHEP 3 Outcomes. SM8M, EA5m, D9M, D11M, P9m, P10m and G1.

Assessment 2 is a group presentation (including a demonstration of the built prototype) which will assess Learning Outcomes 2 and 3. Meeting AHEP 3 Outcomes SM8M, D9M, EA5m, D11M and P11m.

Assessment 2 must be passed in order to pass the module.

You will be provided with formative assessment and feedback via the VLE throughout the semester.
MODULE INDICATIVE CONTENT
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 previous topics, the module will also explore the related system sustainability, entertainment, health and safety issues.
WEB DESCRIPTOR
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 and design and build a proof of concept prototype. This will include defining the problem, identifying suitable hardware and software and implementation of the entire system.
MODULE TEXTS
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.
Gunneswara VSSS Kalaga Rao (2022), “Design of Internet of Things”, CRC Press, ISBN - 9781032300504
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
MODULE RESOURCES
Embedded systems laboratory kits.
Microcontroller (Arduino, Raspberry Pi) and sensors.
Scopes and signal generators.
NI equipment.
Software packages (MATLAB, LABVIEW).