Introduction to Scientific Computing

Relations:

It is not possible to register for the course 12UVPAP if the student is concurrently registered for or has already completed the course 12UVP (mutually exclusive courses).

It is not possible to register for the course 12UVPAP if the student is concurrently registered for or has previously completed the course 12UVP (mutually exclusive courses).

Course guarantor:

Milan Šiňor

Lecturer:

Milan Šiňor

Tutor:

Milan Šiňor

Supervisor:

Department of Laser Physics and Photonics

Synopsis:

Practically oriented Introduction to scientific computing. Constituent part of the course is realized in computer classroom.Students get acquinted with some basic tools fort scientific and technicval computing, data analysis, data visualisation and algorithm development.

Requirements:

Syllabus of lectures:

1.Interpreted and compiled languages: Interpreted languages Matlab, Scilab and Python as instruments for scientific computing.

2.Scalar data types, declaration, operators and expressions.

3.Functions, arrays, libraries.

4.Compound data types.

5.Data visualisation.6.Basic terms and numerical algorithms: Number representation, range and number of significant digits, IEEE arithmetics, rounding error, interval arithmetics, error accumulation.

7.Solution of linear and non-linear equations.

8.Numerical derivative and integration. Optimalisation.

9.Basic solution of ordinary differential equations.

10.Scientific documents and computer presentations: Particularity of scientific documents, text processors for scientific documents.

11.Mathematical text and graphics. Resources for DTP, typography system TeX.

12.Final test.

13.Consultations. Work on individual task.

Syllabus of tutorials:

following lecture

Study Objective:

Study materials:

Key references:

[1]S.J. Chapman: Matlab Programming for Engineers. Cengage Learning, 6th edition, 2019. ISBN: 978-0357030394.

[2]S. Kottwitz: LaTeX Beginner's Guide. Packt Publishing, 2011. ISBN 978-1-847199-86-7.

Recommended references:

[3]Learn with MATLAB and Simulink Tutorials, https://www.mathworks.com/support/learn-with-matlab-tutorials.html

[4]M. Lutz: Learning Python. O'Reilly Media, 5th Edition, 2013. ISBN: 978-1449355739.

Note:

Time-table for winter semester 2024/2025:

Time-table is not available yet

Time-table for summer semester 2024/2025:

Time-table is not available yet

The course is a part of the following study plans:

• Aplikovaná informatika (compulsory course in the program)