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ENGI3391: CONTROL AND SIGNAL PROCESSING 3

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Type	Tied
Level	3
Credits	20
Availability	Available in 2023/24
Module Cap
Location	Durham
Department	Engineering

Prerequisites

ENGI2191

Corequisites

None

Excluded Combinations 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.

Teaching Methods and Learning Hours

Activity	Number	Frequency	Duration	Total	Monitored
Control Lectures	42	2 per week	1 hour	42
Control System modelling Laboratories	3		2 hours	6	Yes
Laboratories	3	Typically 1 per week	3 hours	9	Yes
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

More information

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