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Becs-114.1100 Computational Science (5 credit points)

All material will be uploaded in Noppa, see Noppa page
Please note that the exercise assignments where no points are indicated or where it reads '0 points' means that they will not be graded and you are not expected to return them. They are there just for you edification.


Here's a sample exam for you to roughly know what to expect. Sample.


Introduction to numerical mathematics and modeling. Numerical interpolation, curve fitting, integration and optimization. Data fitting and filtering. Solving systems of linear equations. Basics of the Monte Carlo method. Computer exercises.


Autumn semester 2014


All the course material (lecture notes, exercise papers, etc) are in English. Depending on the participants, the lectures will be given in Finnish or English.


Use WebOodi to register for the course (lectures only, no registration for the exercise groups).


To pass the course, both of the following requirements must be fulfilled:


After you have hauled up the 1/3 of the exercise points, you start gathering them for the exam. You do not need the extra exercise points to get the maximum grade. However, at most one problem out of total of five can be compensated with maximum exercise points.

Lectures - Autumn 2013 (preliminary schedule)

Parts of the Monte Carlo stuff may be replaced with molecular dynamics.

Course Material

All the material will be uploaded in Noppa, see Noppa page

Additional material (textbooks)

  • Numerical Mathematics and Computing,
    4th edition, W. Cheney and D. Kincaid, Brooks/Cole (1999). (Ch. 1-7, 10-11.)
    The course covers chapters 1-7 plus something else.
  • Numerical Recipes in C or FORTRAN,
    W. H. Press, S. A. Teukolsky, W. T. Vetterling, Brian P. Flannery,
    Cambridge University Press (1993-1997).
    BOOKS ON-LINE (Cornell University Library)
    "The guide" of numerical analysis.
  • A Guide to Monte Carlo Simulations in Statistical Physics,
    D. P. Landau and K. Binder, Cambridge University Press (2000).
    A good textbook for those interested in MC methods.
  • Monte Carlo simulation in statistical physics : an introduction
    K. Binder, D. W. Heermann, Springer (2002).
    Another good Monte Carlo guide.
  • Understanding molecular simulation : from algorithms to applications
    Daan Frenkel, Berend Smit, Academic Press (2002)
    An extensive guide to MC and MD methods (applied to molecular simulation).

  • These are just suggestions. There are lots of other good books available too. For example, try the following key words in the HUT library search:
    - numerical analysis (introduction)
    - scientific computing


  • CSC Center for Scientific Computing
    Info on scientific computing.

    Further Information


    Dr. Riku Linna