Course detail

Mathematical Software

FSI-0MSAcad. year: 2025/2026

The course provides an introduction to the Python language with its use in applied mathematics. Students are introduced to the basics of scripting and creating algorithms using the standard library and libraries designed for mathematical applications, namely SciPy, NumPy, Sympy.

Language of instruction

Czech

Number of ECTS credits

3

Mode of study

Not applicable.

Guarantor

doc. Ing. Petr Tomášek, Ph.D.

Department

Institute of Mathematics (ÚM)

Entry knowledge

Basics of working with a computer, basics of programming. Basic knowledge of mathematical analysis and linear algebra.

Rules for evaluation and completion of the course

Credit is awarded on the basis of active participation in exercises and evaluation of the final semester project.


Participation in seminars is mandatory. The method of compensating for missed exercises is fully within the competence of
teacher.

Aims

The aim of the couse is to introduce students to the Python programming language and available libraries and to teach students to solve mathematical problems by creating simple applications.


Students will acquire basic knowledge of the Python programming language. They will learn to use libraries focused on mathematics and solve simple problems by their use.

Study aids

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Not applicable.

Recommended reading

https://www.python.org/doc/ (EN) (EN)
Pecinovský, R.: Python: kompletní příručka jazyka pro verzi 3.11. Praha: Grada Publishing. (CS)

Classification of course in study plans

  • Programme B-MAI-P Bachelor's 2 year of study, winter semester, compulsory
  • Programme BIT Bachelor's 1 year of study, winter semester, elective
  • Programme BIT Bachelor's 1 year of study, winter semester, elective

Type of course unit

 

Computer-assisted exercise

26 hod., compulsory

Teacher / Lecturer

doc. Ing. Petr Tomášek, Ph.D.

Syllabus

1) Introduction to Python. Preparation of the programming environment.
2) Working with the Python language - data types, flow control.
3) Working with the Python language - functions and procedures, modules.
4) Work with libraries, introduction to selected libraries.
5) Matrix algebra.
6) Working with functions, plotting graphs.
7) Symbolic mathematics.
8) Working with data, working with files.
9) Ordinary differential equations.
10) Other useful libraries.
11) Introduction to graphical interfaces.
12) Creating an application, solving a selected problem.
13) Project solution.