10 Credits SPRING



Aims/Description: Many physical systems are too complex to be solved and studied analytically. Computational physics combines computer science, physics and applied mathematics to solve such complex systems. This relatively new scientific approach has become firmly established in complementing the traditional theoretical and experimental methods.   The aim of this level 2 module is to introduce computational methods to enable students to model and study complex physical systems. These methods involve building, running and analysing numerical simulations.   In this course students will build numerical models and simulate complex physical systems using the Python programming language. The theory relating to these numerical methods and the physical systems will be presented in lectures while during computer labs, one-to-one support will be provided for developing the numerical models and in the analysis of the simulation results. 

Staff Contact: QUINN MARK N
Teaching Methods: Lectures, Laboratory work, Independent Study
Assessment: Project/ portfolio

Information on the department responsible for this unit (Physics and Astronomy):

Departmental Home Page
Teaching timetable

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NOTE
The content of our courses is reviewed annually to make sure it's up-to-date and relevant. Individual modules are occasionally updated or withdrawn. This is in response to discoveries through our world-leading research; funding changes; professional accreditation requirements; student or employer feedback; outcomes of reviews; and variations in staff or student numbers. In the event of any change we'll consult and inform students in good time and take reasonable steps to minimise disruption.

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Teaching methods and assessment displayed on this page are indicative for 2025-26.

Western Bank, Sheffield, S10 2TN, UK