| Course title | Basic Calculus in Python |
|---|---|
| Course code | KMA/PPP |
| Organizational form of instruction | Seminar |
| Level of course | Bachelor |
| Year of study | not specified |
| Semester | Summer |
| Number of ECTS credits | 1 |
| Language of instruction | Czech |
| Status of course | Optional |
| Form of instruction | Face-to-face |
| Work placements | This is not an internship |
| Recommended optional programme components | None |
| Lecturer(s) |
|---|
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| Course content |
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1. Python as a tool for scientific computing and data analysis. Introduce Anaconda distribution. 2. Fundamental data types for expressing mathematical objects (numbers, vectors, matrices, ) 3. Mathematical operations and functions in Python 4. Fundamental libraries for scientific computing and visualization (NumPy, matplotlib)
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| Learning activities and teaching methods |
| Dialogic Lecture (Discussion, Dialog, Brainstorming), Demonstration |
| Learning outcomes |
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Introduce Python as a tool for mathematical computing and data analysis.
Ability to use Python for mathematical computing. |
| Prerequisites |
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Linear algebra, basic calculus
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| Assessment methods and criteria |
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Student performance, Analysis of Activities ( Technical works)
Active participations. Fulfilment of tasks. |
| Recommended literature |
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| Study plans that include the course |
| Faculty | Study plan (Version) | Category of Branch/Specialization | Recommended semester | |
|---|---|---|---|---|
| Faculty: Faculty of Science | Study plan (Version): Applied Mathematics - Specialization in Business Mathematics (2021) | Category: Mathematics courses | 1 | Recommended year of study:1, Recommended semester: Summer |
| Faculty: Faculty of Science | Study plan (Version): Applied Mathematics - Specialization in Industrial Mathematics (2020) | Category: Mathematics courses | 1 | Recommended year of study:1, Recommended semester: Summer |
| Faculty: Faculty of Science | Study plan (Version): Applied Mathematics - Specialization in Data Science (2020) | Category: Mathematics courses | 1 | Recommended year of study:1, Recommended semester: Summer |