Undergraduate Programme and Module Handbook 2024-2025
Module ENGI4567: Internet of Everything 4
Department: Engineering
ENGI4567: Internet of Everything 4
| Type | Tied | Level | 4 | Credits | 10 | Availability | Not available in 2024/2025 | Module Cap | None. | Location | Durham |
|---|
| Tied to | H100 |
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Prerequisites
- ENGI2181
Corequisites
- As specified in programme regulations.
Excluded Combination of Modules
- As specified in programme regulations.
Aims
- This module is designed solely for students studying Department of Engineering degree programmes.
- To provide an overview and describe the characteristics of the Internet of Everything (IoE), primarily from an Electronic Engineering perspective.
- To explain the working principles of sensors, embedded systems, energy management, data handling approaches and networking protocols relevant to the Internet of Things.
- To explain the technical, as well as economical and ethical, challenges associated with the development of the IoE.
Content
- Networking protocols
- Sensor technology
- Embedded Processors
- Power management techniques and technology
- Data processing
- Economic and ethical implications of the IoE
Learning Outcomes
Subject-specific Knowledge:
- A knowledge of benefits and limitations of technologies currently used or being developed for the IoE, with a specific focus on the Internet of Things.
- An appreciation of the requirements for low power operation and the impact on the associated electronic system design.
- An understanding of IoE relevant sensor, embedded processing, networking and power management technology.
- A knowledge of trends and developments in the area of IoE development including ethical implications.
Subject-specific Skills:
- An awareness of current technology, design analysis, and commercial practice and the ability to bring these together to provide innovative solutions.
- An in-depth knowledge and understanding of specialised and advanced technical and professional skills, and an ability to perform critical assessment and review.
Key Skills:
- Capacity for independent self-learning within the bounds of professional practice.
- Specialised numerical skills appropriate to an engineer.
- Mathematics relevant to the application of advanced engineering concepts.
Modes of Teaching, Learning and Assessment and how these contribute to the learning outcomes of the module
- The module content is delivered in lectures and is reinforced by problem sheets, equipping students with the required problem-solving capability.
- Students are able to make use of staff 'Tutorial Hours' to discuss any aspect of the module with teaching staff on a one-to-one basis. These are sign up sessions available for up to one hour per week per lecture course.
- Written timed examinations are appropriate because of the wide range of in-depth technical material covered in this module and allow students to demonstrate the ability to solve advanced problems independently.
Teaching Methods and Learning Hours
| Activity | Number | Frequency | Duration | Total/Hours | |
|---|---|---|---|---|---|
| Lectures | 20 | Typically 1 per week | 1 Hour | 20 | |
| Tutorial Hours | As required | Weekly sign-up sessions | Up to 1 Hour | 10 | |
| Preparation and Reading | 70 | ||||
| Total | 100 |
Summative Assessment
| Component: Examination | Component Weighting: 100% | ||
|---|---|---|---|
| Element | Length / duration | Element Weighting | Resit Opportunity |
| Written Examination | 2 hours | 100% | No |
Formative Assessment:
N/A
■ Attendance at all activities marked with this symbol will be monitored. Students who fail to attend these activities, or to complete the summative or formative assessment specified above, will be subject to the procedures defined in the University's General Regulation V, and may be required to leave the University