1. SylabUZ
2. Faculty of Exact and Natural Sciences
3. winter term 2022/2023
4. computer science and econometrics - First-cycle studies leading to Bachelor's degree
5. Mathematical Software

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Mathematical Software - course description

Aim of the course

The familiarization of the students with the capabilities of the mathematical software supporting the work of mathematicians and engineers (like SciPy).

Prerequisites

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Computer Programming 1.

Scope

1. Introduction and first steps. (2 hours)
2. Vectors and matrices. (3 hours)
3. Strings and character data. (4 hours)
4. Special types of arrays. (4 hours)
5. Elements of the programming. (4 hours)
6. Test. (2 hours)
7. Two- and three-dimensional graphics. (4 hours)
8. Symbolic computation. (5 hours)
9. Test. (2 hours)

Teaching methods

To illustrate the capabilities of the mathematical software, during laboratory classes students will write computer programs solving some mathematical problems. In addition, in order for students to become more skilled at using given mathematical software, lists of assignments will be provided.

Learning outcomes and methods of theirs verification

Outcome description	Outcome symbols	Methods of verification	The class form

Assignment conditions

Learning outcomes will be verified through two tests consisted of exercises of different degree of difficulty. A grade, determined by the sum of points from these two tests, is a basis of assessment.

Recommended reading

1. Mark Lutz, David Ascher, Learning Python, 5th Edition, O'Reilly Media, Inc., 2013.

Further reading

1. Robert Johansson, Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib, 2nd edition, Apress, 2018.

Notes

Modified by dr Tomasz Małolepszy (last modification: 29-12-2023 21:12)