Computer Modelling Techniques
10
ENG2028M
2015/6
Semester 2
A
FHEQ Level 5
Standard module
Engineering
Engineering: Mathematics and Computing (not in use)
Dr ME Honnor

None
None
To provide students with fundamental tools for building mathematical models of engineering and technology problems with appropriate generic computer implementations of relevant numerical solution (simulation) techniques.
Concepts, principles & theories explored in formal lectures, practiced & demonstrated in laboratory classes. Practical skills developed in laboratory sessions. Cognitive & personal skills developed in problem solving exercises. Oral feedback is given during labs. Substantive classroom labbased activity will assess the application of practical skills to the knowledge base of the module.
Study Hours:  
Lectures:  14.00  Directed Study:  64.00  
Seminars/Tutorials:  0.00  Other:  0.00  
Laboratory/Practical:  22.00  Formal Exams:  0.00  Total: 100.00 
On successful completion of this module you will be able to...
develop and evaluate computer models for engineering and technology problems
On successful completion of this module you will be able to...
formulate conceptual models, develop computational models by selecting appropriate numerical techniques, develop relevant software routines, display and interpret results;
On successful completion of this module you will be able to...
select and apply scientific method, data interpretation and systematic problem solving skills.
001.  Assessment Type  Duration  Percentage 
Classroom test  100%  
Description  
1 computer based class assessment under exam conditions  
900.  Assessment Type  Duration  Percentage 
Classroom test  100%  
Description  
Supplementary  computer based assessment under exam conditions 
* Application: The modelling process, fundamental principles, transient and steadystate phenomena, initial value and boundary value problems; conceptual, mathematical and computational models, solution techniques and computer implementation; verification and validation of models; deterministic versus stochastic simulation and testing; parametric and sensitivity analysis; data fitting through linear, multiple linear and nonlinear leastsquares; data fit quality assessment.
* Descriptive models (e.g. structural, flow, heat/mass transfer) illustrating appropriate numerical solution methodologies (e.g. finite differences, finite elements) implemented on suitable generic software platforms (e.g. Excel, IDEAS), and including examples of parametric and sensitivity analysis, limitations of simulation and interpretation of mathematical results as engineering solutions.
* Prescriptive models, introduction to optimisation, classification, linear constrained optimisation, graphical and simplex solution techniques, and computer tools.
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