Embedded Digital Systems
(MSc) Embedded Digital Systems
Entry for 2016
FHEQ level
This course is set at Level 7 (Masters) in the national Framework for Higher Education Qualifications.
Course Aims
The aim of this course is to develop academic and professional excellence both for newly qualified and practising engineers who wish to extend their knowledge and skills in the field of embedded digital systems. It covers the central technologies required for the understanding, analysis and implementation of embedded digital systems and provides both the requisite theory and practical experience. Option modules covering a range of application areas allow for individual specialisation.
Course learning outcomes
A1. The fundamental principles of embedded digital systems and their applications.
A2. A range of specialist topics related to embedded digital systems engineering.
A3. Current problems and emerging solutions in the applications of embedded digital systems.
A4. The analytical and practical techniques applicable to advanced scholarship in digital systems engineering.
A5. An in depth understanding of a real engineering problem in embedded digital systems.
B1. Problem solving by applying engineering principles to generate solutions in the field of embedded digital systems and demonstrating the ability to make sound judgments in the absence of complete data.
B2. The selection and application of appropriate computational and analytical techniques to solve a given problem.
B3. The acquisition, analysis and interpretation of simulated and experimental data.
B4. Sourcing, reading and critiquing scientific articles and technical reports. Presenting a written argument based on reading from a variety of sources.
B5. Acting autonomously and within a team, as appropriate, in planning, conducting and reporting on tasks at a professional level.
B6. Applying a holistic approach to an engineering brief applying professional judgments in terms of cost, market, environment, sustainability, safety, ethics.
C1. Using laboratory equipment to generate data while executing experiments in a laboratory safely.
C2. Analysing experimental results, understanding and validating them.
C3. Developing, analysing and constructing technical specifications and designs.
C4. Using industry standard computational tools and packages.
D1. Managing their own learning and conducting independent thinking and study.
D2. Dealing with complex issues both systematically and creatively.
D3. Communicating technical information and findings clearly to specialist and non-specialist audiences in a variety of media.
D4. Exercising initiative and personal responsibility
D5. Decision-making in complex and unpredictable situations.
Full-time course composition
| Year | Term | Status | Module | Credits | FHEQ level |
|---|---|---|---|---|---|
| 1 | Autumn Semester | Core | Advanced Digital Signal Processing (102H6) | 15 | 7 |
| Core | Real Time Embedded Systems (829H1) | 15 | 7 | ||
| Option | Advanced Networks (825H1) | 15 | 7 | ||
| Cybernetics and Neural Networks (100H6) | 15 | 7 | |||
| Mobile Communications (826H1) | 15 | 7 | |||
| All Year Teaching | Core | MSc Individual Project (864H1) | 60 | 7 | |
| Spring Semester | Core | Advanced Digital Communications (832H1) | 15 | 7 | |
| Core | Reconfigurable System on Chip (822H1) | 15 | 7 | ||
| Option | Digital Signal Processing Laboratory (868H1) | 15 | 7 | ||
| Fibre Optic Communications (831H1) | 15 | 7 | |||
| Image Processing (521H3) | 15 | 7 | |||
| Satellite and Space Systems (101H6) | 15 | 7 | |||
| Strategic Management - Engineering module (519H3) | 15 | 7 | |||
| Wearable Technologies (867H1) | 15 | 7 |
Part-time course composition
| Year | Term | Status | Module | Credits | FHEQ level |
|---|---|---|---|---|---|
| 1 | Autumn Semester | Core | Advanced Digital Signal Processing (102H6) | 15 | 7 |
| Core | Real Time Embedded Systems (829H1) | 15 | 7 | ||
| Spring Semester | Core | Advanced Digital Communications (832H1) | 15 | 7 | |
| Core | Reconfigurable System on Chip (822H1) | 15 | 7 | ||
| Year | Term | Status | Module | Credits | FHEQ level |
| 2 | Autumn Semester | Option | Advanced Networks (825H1) | 15 | 7 |
| Cybernetics and Neural Networks (100H6) | 15 | 7 | |||
| Mobile Communications (826H1) | 15 | 7 | |||
| All Year Teaching | Core | MSc Individual Project (864H1) | 60 | 7 | |
| Spring Semester | Option | Digital Signal Processing Laboratory (868H1) | 15 | 7 | |
| Fibre Optic Communications (831H1) | 15 | 7 | |||
| Image Processing (521H3) | 15 | 7 | |||
| Satellite and Space Systems (101H6) | 15 | 7 | |||
| Strategic Management - Engineering module (519H3) | 15 | 7 | |||
| Wearable Technologies (867H1) | 15 | 7 |
Please note that the University will use all reasonable endeavours to deliver courses and modules in accordance with the descriptions set out here. However, the University keeps its courses and modules under review with the aim of enhancing quality. Some changes may therefore be made to the form or content of courses or modules shown as part of the normal process of curriculum management.
The University reserves the right to make changes to the contents or methods of delivery of, or to discontinue, merge or combine modules, if such action is reasonably considered necessary by the University. If there are not sufficient student numbers to make a module viable, the University reserves the right to cancel such a module. If the University withdraws or discontinues a module, it will use its reasonable endeavours to provide a suitable alternative module.