2015/16 Taught Postgraduate Module Catalogue
MECH5510M Computational and Experimental Methods
15 creditsClass Size: 120
Module manager: Dr Jon Summers@leeds.ac.uk
Email: J.L.Summers@leeds.ac.uk
Taught: Semester 1 (Sep to Jan) View Timetable
Year running 2015/16
This module is not approved as an Elective
Objectives
On successful completion of this module, students should understand the basic concepts of computational and experimental methods. In order to fulfil this goal, the module will be divided into three sections.The first will enable the student to select a suitable numerical algorithm and develop and implement a computer code in Matlab.
The second section will concentrate on achieving a basic understanding of a variety of traditional and advanced laser diagnostic techniques for the measurement of parameters that include pressure, temperature, velocity, species concentration.
The third section will address computerised data acquisition and signal processing techniques and, therefore, will provide the link between sections one and two.
Syllabus
The role of approximations in Engineering computation, Introduction to Matlab and programming in Matlab M code: data types, assignments, constants, logical expressions, decisions and loops. Numerical solution of Ordinary Differential Equations using Matlab functions and via numerical programming methods.
Classification of Partial Differential Equations into parabolic, elliptic and hyperbolic type. Numerical methods for solving engineering examples of parabolic, elliptic and hyperbolic equations, Signal processing using Matlab.
- Transducers and optical techniques; temperature, pressure, velocity, species concentration, vibration, stress and strain. Lasers and laser diagnostics.
- Automotive and energy applications.
- Computer-based data acquisition: Analogue interfacing basics, PC data acquisition boards, analogue to digital and digital to analogue conversion, digital i/o and counters/timers.
- Frequency analysis: frequency content of signals, Fourier series, Fourier transform and frequency spectrum, discrete Fourier transform, sample rate and aliasing.
- Digital filtering: transform function, first and second order, Bode plots digital filters, difference equation, discretising continuous-time filters.
Teaching methods
| Delivery type | Number | Length hours | Student hours |
| Lecture | 32 | 1.00 | 32.00 |
| Practical | 6 | 1.50 | 9.00 |
| Private study hours | 109.00 | ||
| Total Contact hours | 41.00 | ||
| Total hours (100hr per 10 credits) | 150.00 | ||
Private study
- 64 hours: 2 hours study per lecture- 45 hours: 22.5 hours per assignment.
Opportunities for Formative Feedback
Feedback on final assignment and computational work component.Methods of assessment
Coursework
| Assessment type | Notes | % of formal assessment |
| Assignment | Experimental Methods | 50.00 |
| Assignment | Computing | 50.00 |
| Total percentage (Assessment Coursework) | 100.00 | |
Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated
Reading list
The reading list is available from the Library websiteLast updated: 12/08/2015
Browse Other Catalogues
- Undergraduate module catalogue
- Taught Postgraduate module catalogue
- Undergraduate programme catalogue
- Taught Postgraduate programme catalogue
Errors, omissions, failed links etc should be notified to the Catalogue Team.PROD