Module Search

ENGI4517: Digital Signal Processing 4

Please ensure you check the module availability box for each module outline, as not all modules will run in each academic year. Each module description relates to the year indicated in the module availability box, and this may change from year to year, due to, for example: changing staff expertise, disciplinary developments, the requirements of external bodies and partners, and student feedback. Current modules are subject to change in light of the ongoing disruption caused by Covid-19.

Type	Tied
Level	4
Credits	10
Availability	Available in 2023/24
Module Cap	None.
Location	Durham
Department	Engineering

Prerequisites

ENGI3461,ENGI3391

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 introduce the use of digital signal processing techniques in modern applications.
To introduce and familiarise students with analytical methods and simulation tools for system design and analysis.

Content

Operations on digital signals.
Frequency analysis of digital signals and systems.
Convolution and discrete Fourier transform.

Learning Outcomes

Subject-specific Knowledge:

Knowledge of the key concepts which affect performance and limitations of modern digital system.
Knowledge on how to approach signals in the digital domain, and why their use is necessary in modern systems.

Subject-specific Skills:

Analysis of digital systems operation.
An awareness of current technology, analysis methods and industrial practises along with the ability to apply those methods in novel situations.
An in-depth knowledge and understanding of specialised and advanced technical and professional skills, an ability to perform critical assessment and review and an ability to communicate the results of their own work effectively.

Key Skills:

Capacity for self-learning in familiar and unfamiliar situations.
General problem-solving skills.
Design skills appropriate to digital and real-time systems engineers.
Proficient use of information technology relevant to the engineering profession.
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, 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.
This module is assessed by summative continuous assessment, due to the practical nature of the material covered in lectures.

Teaching Methods and Learning Hours

Activity	Number	Frequency	Duration	Total
Lectures	9	Typically 1 per week	1 Hour	9
Tutorial Hours	As required	Weekly sign-up sessions	Up to 1 Hour	10
Preparation and Reading				81
Total				100

Summative Assessment

Component: Coursework		Component Weighting: 100%
Element	Length / Duration	Element Weighting	Resit Opportunity
Assignment		100	No

Formative Assessment

N/A

More information

If you have a question about Durham's modular degree programmes, please visit our FAQ webpages, Help page or our glossary of terms. If you have a question about modular programmes that is not covered by the FAQ, or a query about the on-line Undergraduate 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.