MM8407 - Advanced Simulation Methods in Many-particle Systems


Examination arrangement

Examination arrangement: Oral examination
Grade: Passed / Not Passed

Evaluation Weighting Duration Grade deviation Examination aids
Oral examination 100/100

Course content

The course covers advanced simulation methods in many-particle systems applied to, amongst others classical fluids and spin systems. The course provides a theoretical basis for both basic and advanced techniques as well as practical experience with application of molecular-dynamics and Monte-Carlo simulations.

Learning outcome


  • Monte-Carlo and molecular dynamics algorithms.
  • Approaches for modelling the properties and dynamics of the particles in simulations.
  • Basic and advanced methods for speeding up simulations.


  • Be able to use several tools used in simulation methods in statistical physics.
  • Be able to write well-optimised 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, exercises.

Programming project.

If there are less than 4 registered students, the course coordinator will decide whether the course will take place.

Compulsory assignments

  • Exercises
  • Programming project

Further on evaluation

In case of re-take, compulsory work requirements from previous years can be approved by the institute.

Required previous knowledge

All students taking this course must be enrolled in a ph.d program at NTNU or a different university.

An introductory programming course and statistical physics, thermodynamics, or equivalent.

Course materials

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

More on the course



Version: 1
Credits:  7.5 SP
Study level: Doctoral degree level


Term no.: 1
Teaching semester:  AUTUMN 2023

Language of instruction: English

Location: Trondheim

Subject area(s)
  • Computer and Information Science
  • Materials
  • Materials Science and Solid State Physics
  • Statistical Mechanics
  • Theoretical Physics
  • Physics
  • Nanotechnology
  • Technological subjects
Contact information
Course coordinator: Lecturer(s):

Department with academic responsibility
Department of Mechanical and Industrial Engineering


Examination arrangement: Oral examination

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Autumn ORD Oral examination 100/100 2023-12-08 09:00
Room Building Number of candidates
Spring ORD Oral examination 100/100
Room Building Number of candidates
  • * 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"

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