course-details-portlet

MM8407

Simulation Methods in Many-particle Systems

This course is no longer taught and is only available for examination.

Credits 7.5
Level Doctoral degree level
Language of instruction English
Location Trondheim

About

About the course

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.

Course materials

Understanding Molecular Simulation, by Daan Frenkel and Berend Smit. Other material that will be provided.

Subject areas

  • Computer and Information Science
  • Materials
  • Materials Science and Solid State Physics
  • Physical Chemistry/Instrumental Analysis
  • Statistical Mechanics
  • Theoretical Physics
  • Physics
  • Technological subjects

Contact information

Department with academic responsibility

Department of Mechanical and Industrial Engineering

Examination

Examination