| Course Unit Code | 470-2701/01 |
|---|
| Number of ECTS Credits Allocated | 5 ECTS credits |
|---|
| Type of Course Unit * | Compulsory |
|---|
| Level of Course Unit * | First Cycle |
|---|
| Year of Study * | First Year |
|---|
| Semester when the Course Unit is delivered | Summer Semester |
|---|
| Mode of Delivery | Face-to-face |
|---|
| Language of Instruction | Czech |
|---|
| Prerequisites and Co-Requisites | Course succeeds to compulsory courses of previous semester |
|---|
| Name of Lecturer(s) | Personal ID | Name |
|---|
| BER0061 | Ing. Michal Béreš, Ph.D. |
| KRA0220 | Ing. Jan Kracík, Ph.D. |
| Summary |
|---|
|
| Learning Outcomes of the Course Unit |
|---|
| In Python programming language, Computational and Applied Mathematics students get a freely available tool with a wide range of applications. |
| Course Contents |
|---|
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 |
| Recommended or Required Reading |
|---|
| Required Reading: |
|---|
https://docs.python.org/3/
https://numpy.org/doc/stable/
https://scipy.github.io/devdocs/index.html
|
https://docs.python.org/3/
https://numpy.org/doc/stable/
https://scipy.github.io/devdocs/index.html
|
| Recommended Reading: |
|---|
https://docs.github.com/en
https://docs.jupyter.org/en/latest/ |
https://docs.github.com/en
https://docs.jupyter.org/en/latest/ |
| Planned learning activities and teaching methods |
|---|
| Lectures, Tutorials, Project work |
| Assesment methods and criteria |
|---|
| Task Title | Task Type | Maximum Number of Points
(Act. for Subtasks) | Minimum Number of Points for Task Passing |
|---|
| Graded credit | Graded credit | 100 | 51 |