Durham University
Programme and Module Handbook

Undergraduate Programme and Module Handbook 2024-2025

Module ENGI3391: CONTROL AND SIGNAL PROCESSING 3

Department: Engineering

ENGI3391: CONTROL AND SIGNAL PROCESSING 3

Type Tied Level 3 Credits 20 Availability Available in 2024/2025 Module Cap Location Durham
Tied to H100
Tied to H103
Tied to H311
Tied to H312
Tied to H313
Tied to H511
Tied to H512
Tied to H513
Tied to H711
Tied to H712
Tied to H713
Tied to H514
Tied to H515
Tied to H516
Tied to H714
Tied to H715
Tied to H716

Prerequisites

  • • ENGI2191

Corequisites

  • None

Excluded Combination of Modules

  • As specified in Programme Regulations

Aims

  • This module is designed solely for students studying Department of Engineering degree programmes.
  • To build on the ENGI2191 teaching and introduce some of the different mathematical techniques used in the design and analysis of control systems. To ensure the students have a sound understanding of where and how to apply these techniques.
  • To deliver methods of analysis for both continuous and discrete signals.

Content

  • Control, signal processing

Learning Outcomes

Subject-specific Knowledge:
  • In-depth knowledge and understanding of fundamental engineering concepts, principles, theories and mathematics relevant to control, signal processing and real time computing applications.
  • Software techniques for the computer control of devices.
Subject-specific Skills:
  • To critically analyse, evaluate and interpret engineering data;
  • To write computer programs;
  • To apply engineering principles to the solution of a specific, complex problem.
Key Skills:
  • Numerical skills appropriate to an engineer.
  • General problem solving skills that can be applied in a novel context.
  • Capacity for self-learning in familar and unfamiliar situations.

Modes of Teaching, Learning and Assessment and how these contribute to the learning outcomes of the module

  • The courses in Control and Signal Processing are covered in lectures, and are reinforced by seminars and by problem sheets, leading to the required problem solving capability. Assessment is through written examination which enables each student to demonstrate an ability to analyse and solve new problems.
  • Students are able to make use of staff Office 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.
  • Hands-on computer laboratories are used to develop Matlab programming skills, supported by lectures. Assessment for this applied topic is by computer program assignments.
  • The following Laboratory Classes relate to content taught in this module: CE31 Process Control and E31 Signal Processing.

Teaching Methods and Learning Hours

Activity Number Frequency Duration Total/Hours
Control Lectures 42 2 per week 1 hour 42
Control System modelling Laboratories 3 2 hours 6
Laboratories 2 3 hours 6
Office Hours as required weekly sign-up sessions up to 1 hour 8
Preparation, reading and self study 138
Total 200

Summative Assessment

Component: Written Examination Component Weighting: 80%
Element Length / duration Element Weighting Resit Opportunity
On campus, invigilated examination 2 hours 100% none
Component: Coursework Component Weighting: 20%
Element Length / duration Element Weighting Resit Opportunity
Coursework 100% none

Formative Assessment:

Problem Sheets for lecture courses. Laboratories


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