Undergraduate Programme and Module Handbook 2017-2018 (archived)
Module ENGI3391: CONTROL AND SIGNAL PROCESSING 3
Department: Engineering
ENGI3391: CONTROL AND SIGNAL PROCESSING 3
| Type | Tied | Level | 3 | Credits | 20 | Availability | Available in 2017/18 | Module Cap | Location | Durham |
|---|
| Tied to | H100 |
|---|---|
| Tied to | H103 |
Prerequisites
- • ENGI2191
Corequisites
- None
Excluded Combination of Modules
- 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 | |
|---|---|---|---|---|---|
| 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 | ■ | |
| Laboratories | 3 | Typically 1 per week | 3 hours | 9 | ■ |
| Office Hours | as required | weekly sign-up sessions | up to 1 hour | 8 | |
| Preparation, reading and self study | 133 | ||||
| Total | 200 |
Summative Assessment
| Component: Examination | Component Weighting: 80% | ||
|---|---|---|---|
| Element | Length / duration | Element Weighting | Resit Opportunity |
| Control and Signal Processing 3 | 2 hours | 100% | none |
| Component: Continuous Assessment | Component Weighting: 20% | ||
| Element | Length / duration | Element Weighting | Resit Opportunity |
| Control System Modelling assignment | 100% | none | |
Formative Assessment:
Problem Sheets for lecture courses. Laboratories
■ 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