Course - Simulation Methods in Many-particle Systems - MM8407
MM8407 - Simulation Methods in Many-particle Systems
About
This course is no longer taught and is only available for examination.
Course content
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.
Learning outcome
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.
Compulsory assignments
- Exercises
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.
Recommended previous knowledge
An introductory programming course & statistical physics, thermodynamics, or equivalent.
Course materials
Understanding Molecular Simulation, by Daan Frenkel and Berend Smit. Other material that will be provided.
No
Version: 1
Credits:
7.5 SP
Study level: Doctoral degree level
No
Language of instruction: English
Location: Trondheim
- Computer and Information Science
- Materials
- Materials Science and Solid State Physics
- Physical Chemistry/Instrumental Analysis
- Statistical Mechanics
- Theoretical Physics
- Physics
- Technological subjects
Department with academic responsibility
Department of Mechanical and Industrial Engineering
Examination
- * 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"