Durham University
Programme and Module Handbook
This is an archived handbook for a previous year. The current undergraduate and postgraduate handbooks can be viewed using the links above.

Undergraduate Handbook 2010-2011 (archived)

Module ENGI3391: CONTROL AND SIGNAL PROCESSING

Department: Engineering

ENGI3391: CONTROL AND SIGNAL PROCESSING

TypeLevelCreditsAvailabilityModule CapLocation
Tied 3 20 Available in 2010/2011 None. Durham

Tied To

Pre-requisites

Corequisites

  • Microelectronics, Software Engineering and Communications, Electronics, Engineering Design, Management and Manufacture, OR, Electronics, Engineering Design, Management and Manufacture, Electrical Engineering, Thermodynamics and Fluid mechanics, OR, Engineering Design, Electrical Engineering, Management and Manufacture, Applied mechanics, Thermodynamics and Fluid Mechanics, OR, Software Engineering and Communications, Electronics, BEng Engineering Project, BEng Electronic Manufacture

Excluded Combinations

  • Environmental Engineering, Soil Engineering, Structures and Surveying, Civil Design, Design and Management for Civil Engineering, BEng Mechanical Manufacture, BEng Civil Design, BEng Thermodynamics and Fluid Mechanics

Aims

  • To build on the level 2 dynamic systems modelling 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.
  • To understand the relationship between hardware and software when computers are used as components in engineering systems, and the design, implementation and testing of software in these situations.

Content

  • Control, signal processing, real time computing.

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.
  • Design, implementation and testing of real-time software.
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.
  • Hands-on computer laboratories are used to develop the RTC applications skills, supported by lectures. Assessment for this applied topic is by computer program assignments.

Teaching Methods and Learning Hours

ActivityNumberFrequencyDurationTotal HoursAttendance Monitored
Lectures 45 2 or 3 per week term 1, 2 per week term 2, 2 lectures term 3. 1 hour 45
Real Time Computing Laboratories 4 0 or 1 per week in term 1. 2 hours 8
Office Hours 8 0,1 or 2 per week students sign up for appropriate time 4
Preparation and reading 143
Total 200

Summative Assessment

ComponentComponent WeightingElementLength/DurationElement WeightingResit Opportunity
Examination 80% Control and Signal Processing 3 2 hours 100%
Continuous Assessment 20% Real Time Systems 100%

Formative Assessment

Problem Sheets for lecture courses. Formative Real Time Computing assignments.


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.