Skip to main content
Skip header

Numerical methods and statistics

Course aims

The aim of this course is to acquaint students with the numerical solution of mathematical problems and with the basic methods of analysing statistical data. The main accent lays in explanations of fundamental principles of methods so that the students should know to choose appropriate methods for problems arising in the other courses of the study or in the technical practice. An important ingredient of the course consists in the algorithmic implementation of methods and in the utilization of existing computer programms for numerical computations and statistical analyses.

The graduate of this course should know:

• to recognize problems suitable for solving by numerical procedures and to find an appropriate numerical method;
• to decide whether the computed solution is sufficiently accurate and, in case of need, to assess reasons of inaccuracies;
• to propose an algorithmic procedure for solving the problem and to choice a suitable computer environment for its realization.

Literature

1. Qaurteroni, A., Sacco, R., Saleri, F.: Numerical Mathematics. Springer, 2007.

Advised literature

1. Süli, E., Mayers, D.: An introduction to Numerical Analysis. Cambridge University Press, 2003.
2. Van Loan, C. F.: Introduction to scientific computing. Prentice Hall, Upper
Saddle River, NJ 07459, 1999.


Language of instruction Czech, English
Code 310-2220
Abbreviation NMS
Course title Numerical methods and statistics
Coordinating department Department of Mathematics and Descriptive Geometry
Course coordinator prof. RNDr. Radek Kučera, Ph.D.