Undergraduate Programme and Module Handbook 2022-2023 (archived)
Module ENGI4517: Digital Signal Processing 4
Department: Engineering
ENGI4517: Digital Signal Processing 4
| Type | Tied | Level | 4 | Credits | 10 | Availability | Available in 2022/23 | Module Cap | None. | Location | Durham |
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| Tied to | H100 |
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Prerequisites
- ENGI3461,ENGI3391
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 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/Hours | |
|---|---|---|---|---|---|
| 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
■ 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