Molecular Dynamics and Monte Carlo methods including the statistical mechanics
which these simulation methods rest on.
FSI3410 Computational Statistical Mechanics 7.5 credits
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Course syllabus as PDF
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Course syllabus FSI3410 (Spring 2009–)Content and learning outcomes
Course contents
Intended learning outcomes
After completed course, the PhD student should be able to:
- master the statistical mechanics necessary for performing and correct
- interpreting simulations within condensed matter physics.
- show the ability to independently write, develop and test advanced simulation programs.
Literature and preparations
Specific prerequisites
Statistical mechanics and quantum mechanics, computational physics corresponding to SI3080 and and experience with computers and computer programming.
Literature
M.P. Allen and D.J. Tildesly, Computer Simulations of Liquids, Oxford Science Publication 1986
Examination and completion
Grading scale
Examination
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.
Other requirements for final grade
Project assignment and an oral exam.
Examiner
Ethical approach
- 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.