This is an archived handbook for a previous year. The current undergraduate and postgraduate handbooks can be viewed using the links above.
Undergraduate Handbook 2016-2017 (archived)
Module ENGI3391: CONTROL AND SIGNAL PROCESSING 3
Department: Engineering
ENGI3391: CONTROL AND SIGNAL PROCESSING 3
| Type | Level | Credits | Availability | Module Cap | Location |
|---|---|---|---|---|---|
| Tied | 3 | 20 | Available in 2016/2017 | Durham |
Tied To
Pre-requisites
- • ENGI2191
Corequisites
- None
Excluded Combinations
- As specified in Programme Regulations
Aims
- This module is designed solely for students studying School of Engineering and Computing Sciences 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 Hours | Attendance Monitored |
|---|---|---|---|---|---|
| Control Lectures | 19 | 1 per week | 1 hour | 19 | |
| Signal Processing Lectures | 19 | 1 per week | 1 hour | 19 | |
| Control Systemm modelling Lectures | 4 | 1 hour | 4 | ||
| Revision seminars | 2 | term 3 | 1 hour | 2 | |
| 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 | 133 | ||||
| Total | 200 |
Summative Assessment
| Component | Component Weighting | Element | Length/Duration | Element Weighting | Resit Opportunity |
|---|---|---|---|---|---|
| Examination | 80% | Control and Signal Processing 3 | 2 hours | 100% | none |
| Continuous Assessment | 20% | Control System Modelling assignment | 100% | none |
Formative Assessment
Problem Sheets for lecture courses. Laboratories
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.