Durham University
Programme and Module Handbook

Undergraduate Programme and Module Handbook 2023-2024 (archived)


Department: Engineering


Type Tied Level 3 Credits 20 Availability Available in 2023/24 Module Cap Location Durham
Tied to H100
Tied to H103


  • • ENGI2191


  • None

Excluded Combination of Modules

  • As specified in Programme Regulations


  • 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.


  • 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.

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 3 Typically 1 per week 3 hours 9
Office Hours as required weekly sign-up sessions up to 1 hour 8
Preparation, reading and self study 135
Total 200

Summative Assessment

Component: Written Examination Component Weighting: 80%
Element Length / duration Element Weighting Resit Opportunity
Written 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