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Durham University

Postgraduate Module Handbook 2021/2022

Archive Module Description

This page is for the academic year 2021-22. The current handbook year is 2022-23

Department: Engineering

ENGI44S10: Digital Signal Processing 4

Type Tied Level 4 Credits 10 Availability Not available in 2021/22
Tied to H1K909 Electronic and Electrical Engineering [Final intake in 2022/23]

Prerequisites

  • <If other modules, please enter module code using 'Right Click, Insert module_code' or enter module title>

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
Coursework 100%

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