ENGI3391: Control & Signal Processing 3

• ENGI2191

• None

• 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

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.
• 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).
• M2. Formulate and analyse complex problems to reach substantiated conclusions (exam assessed).
• M3. Select and apply appropriate computational and analytical techniques to model complex problems, discussing the limitations of the techniques employed (exam assessed).
• M12. Use practical laboratory and workshop skills to investigate complex problems (coursework assessed).

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.

• 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 encouraged to make use of staff 'Surgeries' (otherwise "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.

If you have a question about Durham's modular degree programmes, please visit our FAQ webpages, Help page or our glossary of terms. If you have a question about modular programmes that is not covered by the FAQ, or a query about the on-line Undergraduate Module Handbook, please contact us.

Prospective Students: If you have a query about a specific module or degree programme, please Ask Us.

Current Students: Please contact your department.