To provide students with an opportunity to develop knowledge and understanding of the key principles and applications of the Computational Physics Laboratory course, and their relevance to current developments in physics.

Tuesdays and Thursdays 11am-5pm

  Honours Physics Laboratory, Physics Group Project

Mathematical Methods 1; Waves and Diffraction; Quantum Mechanics; Thermal Physics; Electromagnetic Theory 1; Theoretical Physics Group project

Laboratory 100%

Reassessments are normally available for all courses, except those which contribute to the Honours classification. For non-Honours courses, students are offered reassessment in all or any of the components of assessment if the satisfactory (threshold) grade for the overall course is not achieved at the first attempt. This is normally grade D3 for undergraduate students and grade C3 for postgraduate students. Exceptionally it may not be possible to offer reassessment of some coursework items, in which case the mark achieved at the first attempt will be counted towards the final course grade. This includes all elements of continuous assessment, where practical constraints do not afford reassessment opportunities.

To provide students with an opportunity to develop knowledge and understanding of the key principles of computational physics, and their importance for the planning and execution of computational investigations of physical processes using both standard and more advanced programming techniques and algorithms.

By the end of the course, students will be able to demonstrate a knowledge and broad understanding of the key principles of computational physics. They should be able to: programme straightforward procedures in a high level computer language; analyse and interpret computational data and make a critical assessment and draw valid conclusions from the results of computational investigations; apply computer software to analyse computational data and to write scientific reports; prepare a detailed written report on a computational investigation; apply logical analysis to problem solving; appreciate open problems typical of business situations.

Not applicable.