Aim: To teach scientific computing techniques from C++/Fortran programming, to parallelism and numerical methods used in CFD and Atomistic modelling.

Location: Department of Materials Science and Metallurgy, University of Cambridge, U.K. (A remote-access option is also available, with access to lectures only.)

The overall aim of this course is to provide course attendees with a strong background in programming techniques suitable for general scientific programming. At the end of the course they should be able to write a range of simple algorithms in C++ or Fortran, understand what issues affect the performance of the code, and be familiar with methods of utilising multiple CPU cores. They will also have been introduced to a range of topics suited to high-performance software development, including command-line Linux, version control, data structures, and super-computer cluster queuing systems. Lecturers and demonstrators will be available to give assistance with the practical work.

• Scientific Programming in C++ or Fortran
• Numerical Methods
• Parallel Programming
• Version Control & debugging
• Seminars
• Group Projects
• Practical sessions

Course fees apply. A small number of bursaries are available for students in full time education. To apply, send a CV and cover letter to shortcourses@csc.cam.ac.uk by Friday 24 June 2022.

For full details visit here.