470-2701/01 – Scientific calculations in Python (VVP)

Gurantor departmentDepartment of Applied MathematicsCredits5
Subject guarantorIng. Jan Kracík, Ph.D.Subject version guarantorIng. Jan Kracík, Ph.D.
Study levelundergraduate or graduateRequirementCompulsory
Year1Semestersummer
Study languageCzech
Year of introduction2022/2023Year of cancellation
Intended for the facultiesFEIIntended for study typesBachelor
Instruction secured by
LoginNameTuitorTeacher giving lectures
BER0061 Ing. Michal Béreš, Ph.D.
KRA0220 Ing. Jan Kracík, Ph.D.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Graded credit 2+2
Part-time Graded credit 10+10

Subject aims expressed by acquired skills and competences

In Python programming language, Computational and Applied Mathematics students get a freely available tool with a wide range of applications.

Teaching methods

Lectures
Tutorials
Project work

Summary

Compulsory literature:

https://docs.python.org/3/ https://numpy.org/doc/stable/ https://scipy.github.io/devdocs/index.html

Recommended literature:

https://docs.github.com/en https://docs.jupyter.org/en/latest/

Way of continuous check of knowledge in the course of semester

Semestral project

E-learning

Other requirements

No other requirements are imposed on the student.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

Basics - basic data types, containers - algebraic operations, basic functions - mutable and immutable types - program runtime control, loops - functions - classes - namespaces, variable validity scope - packages, modules - debugging, profiling Development Environment, tools - IDE - Jupyter-lab - GitHub - pip Habits - comments - version control - DRY Libraries for scientific computing - numpy ◦ array, indexing, cuts, completions ◦ vector operations - matplotlib - scipy, sympy Advanced - Extending Python with C

Conditions for subject completion

Part-time form (validity from: 2022/2023 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of pointsMax. počet pokusů
Graded credit Graded credit 100  51 3
Mandatory attendence participation: Participation at all exercises is obligatory.

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Conditions for subject completion and attendance at the exercises within ISP: Completion of all mandatory tasks within individually agreed deadlines.

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Occurrence in study plans

Academic yearProgrammeBranch/spec.Spec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2024/2025 (B0541A170008) Computational and Applied Mathematics P Czech Ostrava 1 Compulsory study plan
2024/2025 (B0541A170008) Computational and Applied Mathematics K Czech Ostrava 1 Compulsory study plan
2023/2024 (B0541A170008) Computational and Applied Mathematics P Czech Ostrava 1 Compulsory study plan
2023/2024 (B0541A170008) Computational and Applied Mathematics K Czech Ostrava 1 Compulsory study plan
2022/2023 (B0541A170008) Computational and Applied Mathematics K Czech Ostrava 1 Compulsory study plan
2022/2023 (B0541A170008) Computational and Applied Mathematics P Czech Ostrava 1 Compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner

Assessment of instruction



2022/2023 Summer