PH30031: Simulation techniques
[Page last updated: 15 October 2020]
Academic Year:  2020/1 
Owning Department/School:  Department of Physics 
Credits:  6 [equivalent to 12 CATS credits] 
Notional Study Hours:  120 
Level:  Honours (FHEQ level 6) 
Period: 

Assessment Summary:  EX 100% 
Assessment Detail: 

Supplementary Assessment: 

Requisites:  Before taking this module you must ( take PH20019 OR take PH20107 OR take MA20219 ) AND ( take PH20020 OR take PH20107 OR take MA20223 ) 
Description:  Aims: The aims of this unit are to identify some of the issues involved in constructing mathematical models of physical processes, and to introduce major techniques of computational science used to find approximate solutions to such models. Learning Outcomes: After taking this unit the student should be able to: * dedimensionalise an equation representing a physical system; * discretise a differential equation using grid and basis set methods; * outline the essential features of each of the simulation techniques introduced and give examples of their use in contemporary science; * use the simulation schemes to solve simple examples by hand. Skills: Numeracy T/F A, Problem Solving T/F A. Content: Construction of a mathematical model of a physical system (4 hours): Dedimensionalisation, order of magnitude estimate of relative sizes of terms. Importance of boundary conditions. The need for computed solutions. Discretisation (2 hours): Grids and basis sets. Discretisation errors. The finite difference method (4 hours): Review of ODE solutions. Construction of difference equations from PDEs. Boundary conditions. Applications. The finite element method (3 hours): Illustration of global, variational approach to solution of PDEs. Segmentation. Boundary conditions. Applications. Introduction to computational methods for matrix problems (3 hours). Molecular Dynamics and Monte Carlo methods (6 hours): Examples of Nbody problems, ensembles and averaging. The basic MD strategy. The basic MC strategy; random number generation and importance sampling. Applications in statistical mechanics. Simulated annealing. Computer experiments. 
Programme availability: 
PH30031 is Compulsory on the following programmes:Department of Physics
PH30031 is Optional on the following programmes:Department of Mathematical Sciences

Notes:
