Study information

Modelling of Engineering Systems - 2021 entry

MODULE TITLEModelling of Engineering Systems CREDIT VALUE15
MODULE CODEENG2009 MODULE CONVENERDr Halim Alwi (Coordinator)
DURATION: TERM 1 2 3
DURATION: WEEKS 11
Number of Students Taking Module (anticipated)
DESCRIPTION - summary of the module content
This module is designed to introduce second year undergraduates to mathematical modelling techniques for engineering systems, and their implementation using scientific computing (e.g. python). 
 
The model builds on quantitative skills developed in the first year module “Engineering Mathematics and Scientific Computing”, and puts them into practice by analysing, simulating and solving real engineering challenges in engineering systems such as mechanical systems, material science, civil structures, fluid dynamics and electronic systems.
 
The module uses problem based learning and uses case studies, so material will be introduced as needed in the context of engineering challenges.

 

AIMS - intentions of the module
1. To strengthen mathematical and computational skills for solving mathematical challenges arising in the modelling of engineering systems.
 
2. To acquire a large variety of analytical, numerical and mathematical techniques to be used for those engineering problems.
 
3. To build practical skills in translating engineering problem statements into mathematical models / questions, and then analysing, simulating and solving the problem by writing a software programme.
 
4. Understand the concept of analytical and numerical approximation, and learn methods to validate and test your mathematical formulation and programme.

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

 

ILO #             Intended Learning Outcome            AHEP* ILO - MEng              AHEP ILO - BEng      
ILO    #1            

Formulate mathematical models for engineering problems and systems

 

 SM1m, SM2, SM3m SM2p, SM3p, EA1p  
ILO #2

Understand analytical methods for solving differential equations

 

 SM2m, SM5m SM1p, SM2p
ILO #3

Understand numerical methods for solving differential equations

 SM5m, EA2m SM2p, D4p
ILO #4

Formulate a mathematical problem into a programme

 

 SM5m, EA2m, D4m, D7m SM3p, D4p
ILO #5

Identify suitable mathematically models and critically evaluate their output

         

   SM3p, EA2p, EA3p
*Engineering Council Accreditation of Higher Education Programmes (AHEP) ILOs for MEng and BEng Degrees



 

SYLLABUS PLAN - summary of the structure and academic content of the module
  1. Identifying types of differential equations;
  2. Mathematical modelling of engineering systems
  3. Analytical solution to ordinary differential equations (ODE) - Laplace Transform and Transfer Function
  4. System analysis - stability and system responses.
  5. Numerical integration and simulation of ODE
  6. Euler and Runga-Kutta methods for ODE  and initial value problems (IVPs);
  7. Shooting Method for Boundary Value Problems and Eigenvalue Problems;
  8. Solutions to Large System of Equations / Matrix Methods;
  9. Numerical methods for solving Partial Differential Equations (PDEs) – e.g. Finite Difference/ Finite Element Methods;
  10. Design and structuring of code;
  11. Commenting and readability of code;
  12. Testing, debugging and version control.
 
 
 
 

 

LEARNING AND TEACHING
LEARNING ACTIVITIES AND TEACHING METHODS (given in hours of study time)
Scheduled Learning & Teaching Activities 33 Guided Independent Study 117 Placement / Study Abroad
DETAILS OF LEARNING ACTIVITIES AND TEACHING METHODS
Category Hours of study time Description
Scheduled Learning & Teaching Activities 11 Tutorial
Scheduled Learning & Teaching Activities 22 Lecture
Guided Independent Study 117 Independent study

 

ASSESSMENT
FORMATIVE ASSESSMENT - for feedback and development purposes; does not count towards module grade
SUMMATIVE ASSESSMENT (% of credit)
Coursework 50 Written Exams 50 Practical Exams
DETAILS OF SUMMATIVE ASSESSMENT
Form of Assessment % of Credit Size of Assessment (e.g. duration/length) ILOs Assessed Feedback Method
Exam 50 2 hours 1, 2, 3, 5 Via SRS
Coursework - Modelling Challenge 50 3 hours - Report + Python programme 1, 2, 3, 4, 5 Via SRS

 

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-reassessment
Exam Exam 1-5 August Ref/Def Period

 

RE-ASSESSMENT NOTES

As the module is assessed by the examination and coursework, the ref/def assessment will be by examination. The candidates will be awarded the ref/def examination mark combined with the original coursework mark.

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

Reading list for this module:

Type Author Title Edition Publisher Year ISBN
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
Set Chapra, Steven and Canale, Raymond Numerical Methods for Engineers 7th or later McGraw-Hill 2014 978–0–07–339792–4
CREDIT VALUE 15 ECTS VALUE
PRE-REQUISITE MODULES None
CO-REQUISITE MODULES None
NQF LEVEL (FHEQ) 5 AVAILABLE AS DISTANCE LEARNING No
ORIGIN DATE Friday 8th January 2021 LAST REVISION DATE Thursday 14th October 2021
KEY WORDS SEARCH System Modelling, Numerical methods

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