Data Signals and Systems - 2019 entry
MODULE TITLE | Data Signals and Systems | CREDIT VALUE | 15 |
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MODULE CODE | CSM2049 | MODULE CONVENER | Unknown |
DURATION: TERM | 1 | 2 | 3 |
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DURATION: WEEKS | 11 | 0 | 0 |
Number of Students Taking Module (anticipated) | 35 |
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This module will introduce you to mathematical models of engineering systems. You will learn standard methods of systems analysis using transform methods (algorithms).
The aim of this course is to teach you to analyse quantitatively engineering problems, by making you aware of the various approaches to problem-solving, and of how to assess the relative merits of those approaches. The module will also help you improve your awareness of the interrelationship between design and analysis, between a real system and a model.
You must demonstrate some awareness and skill in methods of evaluation such as diagrams, flowcharts and differential equations, and be able to do so in clear, written form.
Prerequisite module: CSM1040 Mathematics for Energy Systems or equivalent
To introduce you to mathematical models of energy systems. To expose you to standard methods of systems analysis using transform methods in both continuous and discrete variable form.
This module covers Specific Learning Outcomes in Engineering, which apply to accredited programmes at Bachelors/MEng/Masters level. These contribute to the educational requirements for CEng registration (as defined under the UK Standard for Professional Engineering Competence – UK-SPEC).
This module correlates to references U2, U3, E1, E2 and E3. These references are indices of the specific learning outcomes expected of Bachelors/MEng/Masters candidates set out in UK-SPEC, codified with reference to systems used by professional accrediting institutions. A full list of the standards can be found on the Engineering Council's website, at http://www.engc.org.uk
On successful completion of this module you should be able to:
Module Specific Skills and Knowledge
2. build linear first and second order lumped parameter models for mixed mechanical, electrical, thermal and fluid systems, derive differential equation descriptions of these, and be aware of the power of Laplace and Z transform methods.
Discipline Specific Skills and Knowledge
4. demonstrate an awareness of the interrelationship between design and analysis;
Personal and Key Transferable / Employment Skills and Knowledge
7. understanding and awareness of the many approaches to the same problem and assess their relative merits;
- generic interpretation of system data;
- Fourier transforms and application to data from engineering and energy systems;
- modelling of engineering and energy systems:
- with examples electromechanical (power electronics), thermal (solar and bio-energy) and fluid (wind and water energy) systems;
- introducing linear and nonlinear state space models (differential and difference equations, discretisation of differential equations);
- Laplace and inverse Laplace transform, partial fractions and use of Standard Laplace transform tables;
- solving linear ordinary differential equations;
- the concepts of transfer function, stability, gain and phase shift;
- frequency response and Bode plots with first and second order systems examples;
- convolution, poles and zeros;
- Z transforms and discrete frequency response;
- block diagram algebra;
- applied case studies in data, signals and systems.
Scheduled Learning & Teaching Activities | 81 | Guided Independent Study | 69 | Placement / Study Abroad | 0 |
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Category | Hours of study time | Description |
Scheduled learning and teaching activities | 33 | Lectures |
Scheduled learning and teaching activities | 48 | Tutorials |
Guided independent study | 69 | Lecture and assessment preparation; private study |
Form of Assessment | Size of Assessment (e.g. duration/length) | ILOs Assessed | Feedback Method |
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Coursework | 30 | Written Exams | 70 | Practical Exams |
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Form of Assessment | % of Credit | Size of Assessment (e.g. duration/length) | ILOs Assessed | Feedback Method |
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Written exam – closed book | 70 | 2 hours | All | Via problem class and revision sessions |
Coursework – assessment using exam style questions | 30 | Two full examination papers to be completed over the Christmas vacation. | All | Post course feedback lecture session. |
Original Form of Assessment | Form of Re-assessment | ILOs Re-assessed | Time Scale for Re-assessment |
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Summative Assessment | Additional assessment | As Above | August Ref/Def period |
Examination | Additional examination | As Above | August Ref/Def period |
1 piece of CW 30% and/or 1 Exam 70%
information that you are expected to consult. Further guidance will be provided by the Module Convener
Basic reading:
ELE: http://vle.exeter.ac.uk
Web based and Electronic Resources:
Other Resources:
Reading list for this module:
Type | Author | Title | Edition | Publisher | Year | ISBN |
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Set | Stroud, K.A | Engineering Mathematics | 7th | Palgrave Macmillan | 2013 | 978-1-137-03120-4 |
Set | Nise, Norman S | Control Systems Engineering: MATLAB tutorial update to version 6 | 3rd or later | New York: John Wiley and Sons | 2002 | 0471250910 |
Set | Dorf, Richard C | Modern Control Systems | 13th edition | Reading, Mass; Wokingham: Addison-Wesley | 2016 | 978-0132451925 |
CREDIT VALUE | 15 | ECTS VALUE | 7.5 |
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PRE-REQUISITE MODULES | CSM1040 |
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CO-REQUISITE MODULES |
NQF LEVEL (FHEQ) | 5 | AVAILABLE AS DISTANCE LEARNING | No |
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ORIGIN DATE | Tuesday 10th July 2018 | LAST REVISION DATE | Tuesday 10th July 2018 |
KEY WORDS SEARCH | System modelling; Laplace transforms; S plane analysis; sampled data systems, Z transforms. |
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Please note that all modules are subject to change, please get in touch if you have any questions about this module.