Undergraduate Programme and Module Handbook 2006-2007 (archived)

Module ENGI3391: CONTROL AND SIGNAL PROCESSING

Department: ENGINEERING

ENGI3391: CONTROL AND SIGNAL PROCESSING

Type	Tied	Level	3	Credits	20	Availability	Available in 2006/07	Module Cap	None.	Location	Durham

Tied to	H100
Tied to	H103

Prerequisites

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 Combination of Modules

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

Activity	Number	Frequency	Duration	Total/Hours
Lectures	45	2 or 3 per week term 1, 2 per week term 2, 2 lectures term 3.	1 hour	45
Office Hours	8	0,1 or 2 per week	students sign up for appropriate time	4
Preparation and reading				143
Total				200

Summative Assessment

Component: Examination		Component Weighting: 80%
Element	Length / duration	Element Weighting	Resit Opportunity
Control and Signal Processing 3	2 hours	100%
Component: Continuous Assessment		Component Weighting: 20%
Element	Length / duration	Element Weighting	Resit Opportunity
Real Time Systems		100%

Formative Assessment:

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

■ 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