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School of Engineering and Informatics (for staff and students)

Numerical Modelling & Engineering Sims (H7137)

Numerical Modelling and Engineering Simulations

Module H7137

Module details for 2024/25.

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

TypeTimingWeighting
Coursework100.00%
Coursework components. Weighted as shown below.
ReportT2 Week 6 20.00%
ReportT2 Week 11 20.00%
PortfolioA2 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.

TermMethodDurationWeek pattern
Spring SemesterLecture1 hour11100000000
Spring SemesterLecture2 hours11111110000
Spring SemesterLaboratory2 hours11111110000
Spring SemesterWorkshop1 hour00011110000

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

Please note that the University will use all reasonable endeavours to deliver courses and modules in accordance with the descriptions set out here. However, the University keeps its courses and modules under review with the aim of enhancing quality. Some changes may therefore be made to the form or content of courses or modules shown as part of the normal process of curriculum management.

The University reserves the right to make changes to the contents or methods of delivery of, or to discontinue, merge or combine modules, if such action is reasonably considered necessary by the University. If there are not sufficient student numbers to make a module viable, the University reserves the right to cancel such a module. If the University withdraws or discontinues a module, it will use its reasonable endeavours to provide a suitable alternative module.

School of Engineering and Informatics (for staff and students)

School Office:
School of Engineering and Informatics, ÑÇÖÞÇéÉ«, Chichester 1 Room 002, Falmer, Brighton, BN1 9QJ
ei@sussex.ac.uk
T 01273 (67) 8195

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