Course title | Mathematical software |
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Course code | KI/EMSW |
Organizational form of instruction | Lesson |
Level of course | unspecified |
Year of study | not specified |
Semester | Summer |
Number of ECTS credits | 2 |
Language of instruction | English |
Status of course | unspecified |
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 |
1. Basic mathematical operations in Python (math, cmath, fractions, decimal etc.) 2. Modules for mathematical manipulations and calculations (NumPy, SymPy) 3. Data visualization (PyPlot, PyQtGraph) 4. Basics of Linear algebra (direct and iterative methods) 5. Approximation and interpolation 6. Finding roots of equations 7. Seminar work no. 1 8. Random number generation and testing of generators 9. Monte Carlo methods 10. Calculcus - derivate 11. Calculus - integration 12. Ordinary differential equations (two weeks) 13. Seminar work no. 2
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Learning activities and teaching methods |
unspecified |
Learning outcomes |
Prerequisites |
Procedural programming (loops, procedures function)
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Assessment methods and criteria |
unspecified
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Recommended literature |
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Study plans that include the course |
Faculty | Study plan (Version) | Category of Branch/Specialization | Recommended semester |
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