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Module MA3469: Practical numerical simulations

Credit weighting (ECTS)
5 credits
Semester/term taught
Michaelmas term 2013-14
Contact Hours
11 weeks, 3 lectures including tutorials per week
Lecturer
Prof. Nicolas Garron
Learning Outcomes
On successful completion of this module, students will be able to
  • Solving physical problems on a computer;
  • Finding an appropriate model and numerical scheme;
  • Implement an appropriate solution;
  • Understand the computer output and control the numerical errors.

  • Module Content
  • Introduction to C++ (using linux environment) and object oriented programming;
  • Solving ordinary differential equations using Euler or Runge Kutta schemes;
  • Shooting method;
  • Introduction to symplectic integration schemes;
  • Partial differential equations;
  • Introduction to Monte Carlo methods (example: Ising model);.
  •  
    Module Prerequisite
     
    Assessment Detail
    This module will be examined in a 2 hour examination in Trinity term. Continuous assessment will contribute 30% to the final grade for the module at the annual examination session. Supplemental exams will consist of 100% exam.