Numerical Modelling & Engineering Sims (H7137)
Numerical Modelling and Engineering Simulations
Module H7137
Module details for 2022/23.
15 credits
FHEQ Level 5
Module Outline
Numerical modelling of engineering systems is essential to solving the complex problems faced by the modern world. As the size and complexity of a system increases, analytical hand-calculations become insufficient and indeed some problems are impossible using a purely analytical approach. This module will equip students to tackle complex engineering problems and confidently apply the appropriate numerical techniques whilst recognising their limitations and the impact these have. Topics will include fundamental numerical solution techniques, curve fitting and analysis, numerical differentiation and integration and a deep understanding of applied IVP and BVP solution techniques and building numerical programming competency. Computer based lab sessions will deliver practical, hands-on experience with commercial software; offering a first course in Computational Fluid Dynamics and Finite Element Analysis to prepare for more advanced modules. Topics explored in this module are applicable to UN SDGs 7 and 9.
Module Topics
• Numerical solution of systems of linear algebraic equations
• Curve fitting and interpolation techniques
• Linear and non-linear equation root finding
• Numerical differentiation and integration
• Preparation and solution of Initial Value and Boundary value problems, including application of finite difference techniques.
• Applied Computational Fluid Dynamics (CFD) and Finite Element Analysis (FEA)
The syllabus covers the following AHEP4 learning outcomes: C1,M1, C3, M3, C4, M4, C6, M6, C13, M13, C17, M17
Module learning outcomes
Demonstrate comprehensive knowledge and understanding of mathematical and computational models relevant to the engineering discipline, and an appreciation of their limitations
Monitor, interpret and apply the results of analysis and modelling in order to bring about continuous improvement
Apply quantitative and computational methods in order to solve engineering problems and to implement appropriate action
Extract and evaluate pertinent data and to apply engineering analysis techniques in the solution of unfamiliar problems
| Type | Timing | Weighting |
|---|---|---|
| Coursework | 100.00% | |
| Coursework components. Weighted as shown below. | ||
| Report | T2 Week 6 | 20.00% |
| Report | T2 Week 11 | 20.00% |
| Portfolio | A2 Week 1 | 60.00% |
Timing
Submission deadlines may vary for different types of assignment/groups of students.
Weighting
Coursework components (if listed) total 100% of the overall coursework weighting value.
| Term | Method | Duration | Week pattern |
|---|---|---|---|
| Spring Semester | Lecture | 1 hour | 11100000000 |
| Spring Semester | Lecture | 2 hours | 11111111110 |
| Spring Semester | Laboratory | 2 hours | 11111111111 |
| Spring Semester | Workshop | 1 hour | 00011111111 |
How to read the week pattern
The numbers indicate the weeks of the term and how many events take place each week.
Dr Mark Puttock-Brown
Assess convenor
/profiles/218138
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