Practical informatics for technics 3

Lecturer:

Milan Šiňor (gar.)

Tutor:

Milan Šiňor (gar.)

Supervisor:

Department of Physical Electronics

Synopsis:

Practically oriented three semester course of basics and applications of informatics for science and engineering included as obligatory alternative course. Constituent part is realized in computer classrooms. The third part of the course is "Introduction to scientific computing?.

Requirements:

Syllabus of lectures:

Interpreted and compiled languages: Interpreted languages Matlab, Scilab and Python as instruments for scientific computing. Scalar data types, declaration, operators and expressions. Functions, arrays, libraries, compound data types.

Basic terms and numerical algorithms: Number representation, range and number of significant digits, IEEE arithmetics, rounding error, interval arithmetics, error accumulation. Solution of non-linear equations, bisection method, Newton's method. Numerical integration, rectangular and trapezoid method. Basic solution of ordinary differential equations, Euler method and its modification.

Scientific documents and computer presentations: Particularity of scientific documents, text processors for scientific documents, mathematical text and graphics. Resources for DTP, typography system TeX. PostScript language.

Syllabus of tutorials:

Interpreted and compiled languages: Interpreted languages Matlab, Scilab and Python as instruments for scientific computing. Scalar data types, declaration, operators and expressions. Functions, arrays, libraries, compound data types.

Basic terms and numerical algorithms: Number representation, range and number of significant digits, IEEE arithmetics, rounding error, interval arithmetics, error accumulation. Solution of non-linear equations, bisection method, Newton's method. Numerical integration, rectangular and trapezoid method. Basic solution of ordinary differential equations, Euler method and its modification.

Scientific documents and computer presentations: Particularity of scientific documents, text processors for scientific documents, mathematical text and graphics. Resources for DTP, typography system TeX. PostScript language.

Study Objective:

Knowledge:

The goal is to provide prospective engineers with such knowledges of computer technology and informatics that are at present necessary for effective practice of professional activities.

Skills:

Constituent part is realized in computer classrooms as practical exercises. This leads to acquirement of experience gained.

Study materials:

Key references:

[1] D. C. Hanselman, B. Littlefield: Mastering Matlab 7. Prentice Hall 2004.

Recommended references:

[2] L. Lamport: LaTeX: A Document Preparation System (2nd Edition). Addison-Wesley 1994.

Note:

Time-table for winter semester 2011/2012:

Time-table is not available yet

Time-table for summer semester 2011/2012:

Time-table is not available yet

The course is a part of the following study plans: