SI2530 Computational Physics 7.5 credits

The Monte Carlo and molecular dynamics methods. Simulations in different statistical mechanical ensembles. Computation of free energies. Stochastic dynamics. Applications to spin systems, fluids, polymers and biological macromolecules.

The course aims to provide an introduction to computational physics, the area of physics that has emerged alongside experimental and theoretical physics. The objective is that, upon completion of the course, students shall:

• Be able to identify the difference between simulations and other approximate and analytical methods.
• Be able to perform simulations and calculations using a number of existing programs.
• Have sufficient insight into the structure of the programs to be able to write simple programs themselves and modify existing ones.
• Be able to describe the significance and limitations of a number of fundamental models with very broad applications.
• Be able to critically assess the results, taking into account the limitations of the models and the statistical nature of the methods.

English B / English 6

Statistical mechanics corresponding to SI1162, modern physics, and some familiarity with computers and computer programming.

• LAB1 - Laboratory Work, 3.0 credits, grading scale: P, F
• PRO1 - Project, 4.5 credits, grading scale: A, B, C, D, E, FX, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

If the course is discontinued, students may request to be examined during the following two academic years.

Jack Mattias Lidmar

• All members of a group are responsible for the group's work.
• In any assessment, every student shall honestly disclose any help received and sources used.
• In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.