Description:

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.

Contents:

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.

Seminar contents:

following lecture

Recommended literature:

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.

Keywords:

Interpreted and compiled languages for scientific computing. Basic terms and numerical algorithms.Typography system (La)TeX for scientific documents

Abbreviations used:

Semester:

• W ... winter semester (usually October - February)
• S ... spring semester (usually March - June)
• W,S ... both semesters

Mode of completion of the course:

• A ... Assessment (no grade is given to this course but credits are awarded. You will receive only P (Passed) of F (Failed) and number of credits)
• GA ... Graded Assessment (a grade is awarded for this course)
• EX ... Examination (a grade is awarded for this course)
• A, EX ... Examination (the award of Assessment is a precondition for taking the Examination in the given subject, a grade is awarded for this course)

Weekly load (hours per week):

• P ... lecture
• C ... seminar
• L ... laboratory
• R ... proseminar
• S ... seminar