Study information

Data Signals and Systems - 2019 entry

MODULE TITLEData Signals and Systems CREDIT VALUE15
MODULE CODECSM2049 MODULE CONVENERUnknown
DURATION: TERM 1 2 3
DURATION: WEEKS 11 0 0
Number of Students Taking Module (anticipated) 35
DESCRIPTION - summary of the module content

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

 

AIMS - intentions of the module

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

 

INTENDED LEARNING OUTCOMES (ILOs) (see assessment section below for how ILOs will be assessed)

On successful completion of this module you should be able to:

Module Specific Skills and Knowledge

1. show awareness and some skills in a range of mathematical modelling techniques;
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

3. develop some skill in quantitatively analysing engineering problems;
4. demonstrate an awareness of the interrelationship between design and analysis;
5. understand the relationship between a real system and a model.

Personal and Key Transferable / Employment Skills and Knowledge

6. demonstrate improved ability to analyse problems clearly and formally;
7. understanding and awareness of the many approaches to the same problem and assess their relative merits;
8. express your problem solving intentions clearly and systematically in written form.

 

SYLLABUS PLAN - summary of the structure and academic content of the module

- 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.

LEARNING AND TEACHING
LEARNING ACTIVITIES AND TEACHING METHODS (given in hours of study time)
Scheduled Learning & Teaching Activities 81 Guided Independent Study 69 Placement / Study Abroad 0
DETAILS OF LEARNING ACTIVITIES AND TEACHING METHODS
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

 

ASSESSMENT
FORMATIVE ASSESSMENT - for feedback and development purposes; does not count towards module grade
Form of Assessment Size of Assessment (e.g. duration/length) ILOs Assessed Feedback Method
       
       
       
       
       
SUMMATIVE ASSESSMENT (% of credit)
Coursework 30 Written Exams 70 Practical Exams
DETAILS OF SUMMATIVE ASSESSMENT
Form of Assessment % of Credit Size of Assessment (e.g. duration/length) ILOs Assessed Feedback Method
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.
         
         
         

 

DETAILS OF RE-ASSESSMENT (where required by referral or deferral)
Original Form of Assessment Form of Re-assessment ILOs Re-assessed Time Scale for Re-assessment
Summative Assessment Additional assessment As Above August Ref/Def period
Examination Additional examination As Above August Ref/Def period
       

 

RE-ASSESSMENT NOTES

1 piece of CW 30% and/or 1 Exam 70%

RESOURCES
INDICATIVE LEARNING RESOURCES - The following list is offered as an indication of the type & level of
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
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
PRE-REQUISITE MODULES CSM1040
CO-REQUISITE MODULES
NQF LEVEL (FHEQ) 5 AVAILABLE AS DISTANCE LEARNING No
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.

Please note that all modules are subject to change, please get in touch if you have any questions about this module.