Introduction to Scientific Computing

Vztahy:

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

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

Garant předmětu:

Lecturer:

Tutor:

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:

Further information:

http://kfe.fjfi.cvut.cz/~sinor/edu/uvp/

No time-table has been prepared for this course

The course is a part of the following study plans:

• Fyzikální inženýrství - Počítačová fyzika (PS)
• Aplikované matematicko-stochastické metody (elective course)
• Jaderné inženýrství - Aplikovaná fyzika ionizujícího záření (elective course)
• Fyzikální inženýrství - Fyzikální inženýrství materiálů (elective course)
• Fyzikální inženýrství - Inženýrství pevných látek (elective course)
• Fyzikální inženýrství - Laserová technika a fotonika (elective course)
• Matematické inženýrství - Matematická informatika (elective course)
• Matematické inženýrství - Matematické modelování (elective course)
• Kvantové technologie (elective course)
• jaderné inženýrství - Radioaktivita v životním prostředí (elective course)
• Physical Engineering - Computational physics (PS)
• Quantum Technologies (elective course)