Delivery Type | Delivery length / details |
---|---|
Lecture | 9 lectures |
Practical | 26 Hours. 8 workshops (2 hours each); project lasting 10 hours |
Assessment Type | Assessment length / details | Proportion |
---|---|---|
Semester Assessment | Exercise set in semester week 8 combining a portfolio drawn from coursework and unseen problems. | 30% |
Semester Assessment | Mini project set in semester week 8 for completion by the end of term | 70% |
Supplementary Assessment | SUPPLEMENTARY ASSESSMENT As determined by Departmental Examination Board. | 100% |
After taking this module students should be able to:
Computational physics provides an alterative approach for the solution of practical and theoretical problems. Solutions intractable by analytical techniques may be evaluated using numerical techniques or, alternatively, numerical simulation may allow lthe influence of a range of variables to be investigated without recourse to extensive experiments. In the present course, basic techniques of numerical analysis will be introduced, including interpolation, functions, roots and integration. The module will also introduce approaches for the solution of ordinary differential equations and Fourier transforms as well as finite element techniques for solving partial differential equations. A knowledge of the MATHCAD programming environment is required.
In addition to formal lectures on basic techniques, the students will have significant opportunities to investigate and implement numerical analysis methods on personal computers.
This module is at CQFW Level 6