module specification

This module provides students with an in-depth appreciation of the Internet of Things (IoT) and Cloud Computing concepts, models, infrastructures, and capabilities. The module will place emphasis on modern system architecture and design, Autonomous Intelligent Systems (AIS), key wireless/mobile/sensor technologies, and issues of privacy and trust, in the development of Cloud-based IoT systems. Practical work within the module will provide students with real, hands-on, experience of building a basic Internet of Things infrastructure that can access Cloud Computing services and the opportunity to develop their Python programming skills and abilities. Some basic knowledge of Python will be used throughout. Understanding of various Intelligent, wired, and wireless technologies could be an advantage.

1. Internet of Things (IoT) – Principles, Fundamentals and Business Context
2. Cloud Computing – Architecture: Infrastructure, Platforms and Software
3. Electronics, Sensors/Actuators, Arduino, and Raspberry Pi
4. IoT Hardware Development Boards and App Development Platforms
5. Machine to Machine (M2M) Radio Frequency Communications
6. Network Security Challenges and RF Protocol Stacks
7. Application Protocols
8. Autonomous Intelligent Systems (AIS), Connected and Autonomous Vehicles (CAVs)
9. Operationalizing Data Analytics and ML Pipelines
10. Data Space Support in Data Platform
11. Current Research within Cloud Computing and IoT
12. Module Overview

Topics will be introduced through appropriate mediums.

Theoretical content will usually be supported by multimedia technologies (e.g., slides, videos, podcasts, and screencasts) or asynchronous materials (e.g., videos, reading tasks, and small formative or summative tests). Tutorials will typically involve in-class discussions to encourage reflective learning. Workshops will typically involve hands-on experience. Students are strongly encouraged to engage in independent study prior to attending any scheduled sessions.

Theoretical understanding will be developed and reinforced through provided learning materials and appropriate methods of delivery.

Competency of software and hardware tools will be gained during the workshop sessions, which will be conducted within the Cyber Security Research Centre.

LO1 Design and critically assess the strengths and weaknesses of different IoT system architectures and components, showing understanding of their key features, including (passive and active) sensors, actuators, physical communications layer, message protocols, programming frameworks, and energy and bandwidth constraints
LO2 Apply extensive hands-on application development skills for building multi-tier cloud-based IoT systems as members of a development team and evaluate the strengths and weaknesses of different types of cloud-based architectures
LO3 Express a critical understanding of current research areas associated with the Internet of Things, Cloud Computing and Autonomous Intelligent Systems (AIS), including the commercial context and any privacy/security issues, legal, social, ethical, and professional issues related to the design, development, and implementation of Cloud Computing and IoT technologies and systems
LO4 Apply broad skill in writing professional reports as vehicles for communicating research ideas
LO5 Demonstrate ability for professional presentation, delivery, and peer assessment of research work

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