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ENGI44A10: Internet of Everything 4

It is possible that changes to modules or programmes might need to be made during the academic year, in response to the impact of Covid-19 and/or any further changes in public health advice.

Type Tied
Level 4
Credits 10
Availability Not available in 2023/24
Module Cap None.
Location Durham
Department Engineering

Prerequisites

Corequisites

  • As specified in programme regulations.

Excluded Combinations 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

ActivityNumberFrequencyDurationTotalMonitored
Lectures20Typically 1 per week1 Hour20 
Tutorial HoursAs requiredWeekly sign-up sessionsUp to 1 Hour10 
Preparation and Reading70 
Total100 

Summative Assessment

Component: ExaminationComponent Weighting: 100%
ElementLength / DurationElement WeightingResit Opportunity
Written Examination 2 hours100 

Formative Assessment

N/A

More information

If you have a question about Durham's modular degree programmes, please visit our Help page. If you have a question about modular programmes that is not covered by the Help page, or a query about the on-line Postgraduate Module Handbook, please contact us.

Prospective Students: If you have a query about a specific module or degree programme, please Ask Us.

Current Students: Please contact your department.