course-details-portlet

MM8407 - Simulation Methods in Many-particle Systems

About

Lessons are not given in the academic year 2021/2022

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.

Specific conditions

Compulsory activities from previous semester may be approved by the department.

Course materials

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

More on the course

No

Facts

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

Coursework

No

Language of instruction: English

Location: Trondheim

Subject area(s)
  • 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

  • * 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.
Examination

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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