Kies de Nederlandse taal
Course module: NS-TP432M
Modelling and simulation
Course infoSchedule
Course codeNS-TP432M
ECTS Credits7.5
Category / LevelM (M (Master))
Course typeCourse
Language of instructionEnglish
Offered byFaculty of Science; Graduate School of Natural Sciences; Graduate School of Natural Sciences;
Contact personprof. dr. ir. M. Dijkstra
Telephone+31 30 2533270
Course contact
prof. dr. ir. M. Dijkstra
Other courses by this lecturer
prof. dr. ir. M. Dijkstra
Other courses by this lecturer
dr. L.C. Filion
Other courses by this lecturer
Teaching period
SEM2  (07/02/2022 to 08/07/2022)
Teaching period in which the course begins
Time slotB: B (TUE-morning, THU-afternoon)
Study mode
Enrolment periodfrom 01/11/2021 up to and including 28/11/2021
Course application processOsiris Student
Enrolling through OSIRISYes
Enrolment open to students taking subsidiary coursesYes
Post-registration openfrom 24/01/2022 up to and including 21/02/2022
Waiting listNo
Course goals
After completion of the course, the student
  1. has gained insight into the main aspects of modeling and simulation in the context of statistical physics, such as universality, critical exponents, finite-size scaling, thermalization and error estimation
  2. can write a simulation program for simple models in physics
  3. can use such a simulation program to study the physics properties of these models; this includes a sensible choice for model parameters such as temperature, box size, and duration / number of iterations
  4. is familiar with the basics of Monte Carlo methods
  5. can report on computer simulations and the physics results obtained from the simulations in a scientific document
An important aspect of physics research is modeling: complex physical systems are simplified through a sequence of controlled approximations to a model that lends itself for computations, either analytic or by computer. In this course, the origin of a number of widely used models will be discussed. Magnetic systems as well as the liquid-gas transition is modelled by the Ising model, polymers are often modelled by random walks, liquid flow is often modelled by lattice Boltzmann gases. Insight into these models can be obtained through a number of ways, one of which is computer simulation. During the course, simulation methods for these models will be discussed in the lectures as well as in computer lab sessions. Prerequisite: Elementary programming skills and some statistical physics.
Entry requirements
Prerequisite knowledge
Elementary programming skills and some statistical physics.
Required materials
Xming (beschikbaar in MyWorkPlace)
Recommended materials
M.E. J. Newman and G.T. Barkema, Monte Carlo methods in statistical physics, Oxford University Press.
D.Frenkel and B.Smit, Understanding Molecular Simulation: From Algorithms to Applications, Academic Press
Instructional formats

Final result
Test weight100
Minimum grade-

Kies de Nederlandse taal