Course - Simulation Methods in Many-particle Systems - MM8407
MM8407 - Simulation Methods in Many-particle Systems
Lessons are not given in the academic year 2021/2022
The course covers simulation methods in many-particle systems applied to, amongst others classical fluids and spin systems. The course provides a theoretical basis as well as practical experience with application of molecular-dynamics and Monte-Carlo simulations.
Knowledge: - Monte-Carlo and molecular dynamics algorithms. - Approaches for modelling the properties and dynamics of the particles in simulations. - Methods for speeding up simulations. Skills: - Be able to use several tools used in simulation methods in statistical physics. - Be able to write simple programs for molecular dynamics and Monte Carlo simulations. - Be able to decide the applicability of different methods of simulating problems within statistical physics. General Competence: Be able to communicate and present obtained knowledge.
Learning methods and activities
Lectures, seminars, problems, programming assignments. If there are less than 4 registered students, the course coordinator will decide whether the course will take place.
Further on evaluation
Portfolio assessment is the basis for the grade in the course. The portfolio includes exercises counting 70 % and an oral exam counting 30 %. The results for the entire portfolio are graded passed or not passed. Passed requires at least 70% score in total for the portfolio, as well as passing each individual Component. For a re-take of an examination, all assessments during the course must be re-taken.
Compulsory activities from previous semester may be approved by the department.
Recommended previous knowledge
An introductory programming course & statistical physics, thermodynamics, or equivalent.
Understanding Molecular Simulation, by Daan Frenkel and Berend Smit. Other material that will be provided.
Credits: 7.5 SP
Study level: Doctoral degree level
Language of instruction: English
- Computer and Information Science
- Materials Science and Solid State Physics
- Physical Chemistry/Instrumental Analysis
- Statistical Mechanics
- Theoretical Physics
- Technological subjects
Department with academic responsibility
Department of Mechanical and Industrial Engineering
- * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
For more information regarding registration for examination and examination procedures, see "Innsida - Exams"