NUMERICAL & EXPERIMENTAL METHODS - 2019/0
Module code: ENG2093
Mechanical Engineering Sciences
MARXEN O Dr (Mech Eng Sci)
Number of Credits
FHEQ Level 5
Module cap (Maximum number of students)
Overall student workload
Independent Study Hours: 102
Lecture Hours: 19
Tutorial Hours: 11
Laboratory Hours: 18
|Assessment type||Unit of assessment||Weighting|
|Coursework||LABORATORY REPORTS (3)||30|
|Coursework||NUMERICAL METHODS COURSEWORK||25|
|Examination||NUMERICAL METHODS EXAMINATION (1 HR)||25|
Laboratory participation element to be replaced by i) written answers requiring background research for two different experiments and (ii) a report on the performance of one laboratory accounting for the nature and minimisation of experimental error.
Prerequisites / Co-requisites
Engineers frequently have to carry out testing and experimental procedures on products. They also often have to solve engineering problems which are mathematically intractable by approximate numerical methods, normally using software involving some degree of programming.
The laboratory part of this module is designed both to support learning in other parts of the FHEQ level 5 curriculum through practical experiments and also to further develop generic and transferable skills (building on the HEFQ level 4 module Experimental and Transferable Skills), including practical laboratory skills, data handling, understanding experimental uncertainty and scientific writing.
The numerical methods covered in this module introduce the use of mathematical methods to solve complex engineering problems with appropriate IT tools such as Matlab.
Where appropriate the experiments include the application of Matlab and numerical methods.
Knowledge and experience of using standard numerical methods in order to solve complex engineering problems.
Knowledge and experience of using Matlab and programming as a tool to solve engineering problems.
Laboratory experience which reinforces and illustrates wider aspects of the FHEQ level 5 engineering curriculum.
Thorough training in experimental approaches, including the handling of data and dealing with experimental uncertainty by error propagation theory.
Further development of report writing skills.
|001||UK-SPEC Learning Outcome codes: SM1b, SM2b, SM2m, EA1b, EA3b, EA3m, D6, EL1, EL6, P1, P2, P3, P8, P11, G1 On successful completion of this module, students will be able to: Use a range of standard numerical methods to solve complex engineering problems;; (K,C,P)||KCP|
|002||Use Matlab and programming as a tool in solving engineering problems;||KCPT|
|003||Demonstrate an ability to prepare, perform and effectively report experimental investigations commensurate with FHEQ level 5;||KCPT|
|004||Demonstrate an ability to identify and address experimental uncertainty;||CP|
|005||Demonstrate progress towards ongoing independent development of applying experimental and numerical methods to real engineering situations.||CPT|
C - Cognitive/analytical
K - Subject knowledge
T - Transferable skills
P - Professional/Practical skills
Indicative content includes:
1. Numerical Methods :
The lectures and tutorials cover the following areas:
Computer representation of numbers, rounding errors. Taylor series expansion and truncation errors.
Roots of nonlinear equations: interval searching, bisection method, false position, simple iteration, Newton-Raphson method.
Solution of single ordinary differential equations by Euler, Heun and 4th order Runge-Kutta methods- derivation, errors, applications. Systems of ODEs and higher-order equations.
Numerical Integration: Trapezoidal rule and Simpson's rule, errors and applications
Solution of systems of linear equations: Gauss elimination with inclusion of partial pivoting; LU-decomposition; Gauss-Seidel iteration.
Application of simple programming to solve numerical methods problems using Matlab
2. Laboratory Experiments
9 laboratory experiments will be conducted in small groups. These experiments are complementary to the wider FHEQ level 5 curriculum.
Five of the experiments are common and relate to areas of solid mechanics, dynamics, control and electronics covered by all programmes including this module. Four of the experiments are specific to the three discipline areas, for example: diesel engine performance (Automotive), aircraft dynamic stability (Aerospace), refrigeration (Mechanical) and gait analysis (Medical).
Measurement techniques appropriate to the measurement and use of displacement, curvature, velocity, acceleration, frequency, force, pressure, temperature, thermodynamic properties, energy transfer, power, flow rate, voltage, current, etc. are covered.
General laboratory methods pertaining to preparation and experimental design, organisation, procedural optimisation, data recording, data analysis, error measurement, error propagation are developed over the series of experiments. Health and safety issues are included in preparatory briefings.
Methods of Teaching / Learning
The learning and teaching strategy is designed to
introduce students to a range of numerical methods with their derivations and limitations,
consolidate students’ programming skills with Matlab through implementation of numerical methods taught
reinforce engineering science concepts taught in other modules though practical experimentation and demonstration
give students good grounding in experimental procedure and scientific/technical report writing
The learning and teaching methods include:
Lectures (for numerical methods) 17 hrs total, 2/wk for 6 weeks, 1/wk for 5 weeks
IT-lab based tutorials using Matlab programming to implement numerical methods (1 hr/wk)
Introductory briefing lectures on lab work ( 2 hrs total, wks 1 /2)
9 x 1-2 hrs/wk laboratory sessions in small groups; in addition to a guided introduction to experiment and apparatus, and group work on experiment itself to obtain results and conclusions, there will be supervisor-led and assessed discussions of preparatory work and session and results.
Production of 3 full laboratory reports, following written and oral guidance given on report production
The assessment strategy is designed to provide students with the opportunity to demonstrate their ability to
choose and implement suitable numerical methods for engineering problem solutions and know the limitations and possible sources of error
write programs (in Matlab) to implement such methods in efficient ways
relate taught material form other modules to the laboratory experiments and research further
carry out laboratory experiments and analyse and discuss results, including experimental uncertainty
produce written technical reports to an industry and professional standard
Thus, the summative assessment for this module consists of:
Examination on numerical methods, testing knowledge and concepts and with short ‘by-hand’ demonstrations of ability to implement methods
Learning outcome 1 1 hr 25%
Numerical methods coursework consisting of a series of weekly online quizzes and/or programming exercises covering analysis, application of suitably chosen numerical methods to problems, use of Matlab ,discussion of results
Learning outcome 1,2, 5 25%
Preparation, participation and review of laboratory session (approximately weekly)
Learning outcomes 3,4,5 20%
Production of three lab reports
Learning outcomes 3,4,5 30% total (10% each)
Formative assessment and feedback
Formative feedback is given throughout the semester in numerical methods IT-Lab based tutorials by staff and PG assistants, and through example solutions and programmes posted on the VLE.
In every laboratory session, students have face-to face discussions with the experiment supervisor
Written feedback on the lab reports is returned within about 2 weeks, to enable feed-forward to the writing of the next report, and is formative as well as summative.
Likewise written feedback on the numerical methods coursework is formative, towards the examination.
Reading list for NUMERICAL & EXPERIMENTAL METHODS : http://aspire.surrey.ac.uk/modules/eng2093
Programmes this module appears in
|Biomedical Engineering MEng||2||Compulsory||A weighted aggregate mark of 40% is required to pass the module|
|Aerospace Engineering BEng (Hons)||2||Compulsory||A weighted aggregate mark of 40% is required to pass the module|
|Aerospace Engineering MEng||2||Compulsory||A weighted aggregate mark of 40% is required to pass the module|
|Automotive Engineering BEng (Hons)||2||Compulsory||A weighted aggregate mark of 40% is required to pass the module|
|Automotive Engineering MEng||2||Compulsory||A weighted aggregate mark of 40% is required to pass the module|
|Biomedical Engineering BEng (Hons)||2||Compulsory||A weighted aggregate mark of 40% is required to pass the module|
|Mechanical Engineering BEng (Hons)||2||Compulsory||A weighted aggregate mark of 40% is required to pass the module|
|Mechanical Engineering MEng||2||Compulsory||A weighted aggregate mark of 40% is required to pass the module|
Please note that the information detailed within this record is accurate at the time of publishing and may be subject to change. This record contains information for the most up to date version of the programme / module for the 2019/0 academic year.