Durham University
Programme and Module Handbook

Undergraduate Programme and Module Handbook 2026-2027

Module ENGI3491: Digital Electronics and Digital Signal Processing 3

Department: Engineering

ENGI3491: Digital Electronics and Digital Signal Processing 3

Type Tied Level 3 Credits 20 Availability Available in 2026/2027 Module Cap None. Location Durham
Tied to H100
Tied to H103
Tied to H711
Tied to H712
Tied to H713
Tied to H714
Tied to H715
Tied to H716

Prerequisites

  • ENGI2181

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 and/or develop the principles of digital electronics and provide understanding of the use of programmable logic design.
  • To provide understanding of the relationship between hardware and software when computers are used as components in engineering systems, and the design, implementation and verification of hardware and software in these situations.
  • 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

  • High-level digital systems design.
  • Fast arithmetic techniques.
  • Operations on digital signals.
  • Frequency analysis of digital signals and systems.

Learning Outcomes

Subject-specific Knowledge:
  • Knowledge of the key concepts which affect performance and limitations of modern digital system.
  • Knowledge of the key concepts which affect the performance and limitations of modern digital systems.
  • AHEP4 Learning Outcomes: In order to satisfy Professional Engineering Institution (PEI) accreditation requirements the following Accreditation of Higher Education Programmes (AHEP4) Learning Outcomes are assessed within this module:
  • M1. Apply a comprehensive knowledge of mathematics, statistics, natural science and engineering principles to the solution of complex problems (exam assessed).
  • M3. Select and apply appropriate computational and analytical techniques to model complex problems, discussing the limitations of the techniques employed (exam assessed).
Subject-specific Skills:
  • Techniques for designing synchronous and asynchronous digital systems.
  • 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:
  • Logic reasoning and problem solving;
  • Numerical skills appropriate to an Engineer.
  • Capacity for self-learning in familiar and unfamiliar situations.

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 encouraged to engage with staff Office Hours for one‑to‑one or small‑group discussion of any aspect of the module. These sessions are offered weekly during teaching, timings are published on Learn Ultra.
  • Digital Electronics and Digital Signal Processing 3 is taught by lectures and reinforced by embedded problem sheets, leading to the required problem solving capability.
  • Assessment is through written examination leading to the required acquisition of the appropriate subject specific skills and knowledge to allow students to demonstrate the ability to solve advanced problems independently.

Teaching Methods and Learning Hours

Activity Number Frequency Duration Total/Hours Attendance Monitored
Lectures 40 2 per week 1 hour 40
Revision Classes 2 2
Preparation and Reading 1 158
Total 200

Summative Assessment

Component: Examination Component Weighting: 100%
Element Length / duration Element Weighting Resit Opportunity
On Campus Written Examination 2 hours 100%

Formative Assessment:

N/A


Students who do not attend monitored activities shown under Teaching Methods and Learning Hours, or who fail to complete the summative or formative assessment(s) specified above, may be subject to the Academic Progress procedures defined in the University's General Regulation V, and may be required to leave the University.