Computational Projects

Overview

Computing coding skills and optimization techniques.
Solution of ordinary differential equations with, for example, Runge Kutta 4th order method.
Students to choose from a range of computational projects including projects to solve ordinary differential equations, for example in solution of the 1D time independent Schrödinger Equation with the Shooting method, and partial differential equations, for example simulation of a wave on a string.
Data analysis techniques, for example, coping with noise and experimental uncertainty.

Learning Objectives

Students will be able to:

Analyse physical systems and write computer programs to model them.

Use computational methods for robust analysis of experimental data.

Skills

Problem solving with computing methods and computer programming. Searching for and evaluating information from a range of sources. Communicating scientific concepts in a clear and concise manner both orally and in written form. Working independently and with a group of peers. Time management and the ability to meet deadlines.

Assessment

None.