The 9.1. exam has been graded. You should get the grades in Oodi in a few days.
Here's a sample exam for you to roughly know what to expect. Sample.
Contents
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.
Schedule
Autumn semester 2011
Lectures: Tuesdays at 10.15-12, Auditorium, the Old Technical Physics
Building (1st lecture Tue 6.9.)
Exercises: A two-hour demo session once a week in computer classroom Maari-C in
Maarintalo building.
13.9.-06.12.11.: Tuesdays at 16.15-18
(For instructions on how to return the completed
assignments, see here. For instructions how to do them, see
the Instructions part of the first lecture.)
Exams: First chance: Thursday 15.12. 9-12 am, 213a (Konetekniikka 1). Next chance: Monday 09.01.12. 10-13 am, the same place.
Language
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.
Registration
Use WebOodi to register for the course
(lectures only, no registration for the exercise groups).
Requirements
To pass the course, both of the following requirements must be fulfilled:
Exercises: at least 1/3 of the exercise points must be obtained. For
further instructions, see here.
Final exam: at least 50% of the total points.
Grading
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 2011 (preliminary schedule)
Lecture 1 Introduction / Number representation and errors (6.9.)
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
