Infopaket

Computer calculation packages

ВК3

Вибіркова дисципліна для ОП

First

2024/2025

5 Semester

3

The learning outcomes are students' mastery of methods for using modern mathematical packages, students' ability to apply knowledge in practical situations to solve physical and mathematical problems. Also, the ability to learn and master modern knowledge from the course "Computer Calculation Packages", the ability to search, process and analyze information from various sources, including electronic resources, and students' ability to abstract thinking, analysis and synthesis of material from all physical and mathematical disciplines.

Full-time form

Know the basic laws of mechanics, electricity, mathematical analysis, the ultimate differential equation, the basics of mathematical physics. Zocrema, to understand the analysis analytically and in the numerical view of the differential alignment, to analyze the functional fallacies, to remember the difference for the gradient, the divergence, the rotor and the Laplace operator. Include advanced knowledge from the course of mathematical analysis, mathematical physics, the basics of vector and tensor analysis and differential equations for the development of algebraic and differential equations. Use elementary skills to calculate similar, integrals, and operations on vectors, to graphically develop graphs of functions, to plot functions in a series and Four's integral.

The discipline "Computer Calculation Packages" is a component of the cycle of professional training of specialists of the educational and qualification level "Bachelor of Physics". The course program is aimed at students who are already familiar with mathematical analysis, the basics of vector and tensor analysis, a general course of physics and differential calculus. The learning outcomes consist in mastering the techniques of working with modern mathematical packages and the ability to apply them to solve practical problems.

[1] Wellin PR. Essentials of Programming in Mathematica. Cambridge: Cambridge University Press; 2016. https://doi.org/10.1017/CBO9781316337738. Accessed September 4 2023. [2]Le D-N Pandey AK Sairam TVM Singh Rathore P Chatterjee JM. Network Modeling Simulation and Analysis in Matlab : Theory and Practices. Newark: John Wiley & Sons Incorporated; 2019. [3]Mueller J Sizemore J O'Reilly for Higher Education (Firm) Safari an O'Reilly Media Company. Matlab for Dummies 2nd Edition. 2nd ed. For Dummies; 2021. [4] Hassani S. Mathematical Methods Using Mathematica : For Students of Physics and Related Fields. New York: Springer-Verlag; 2003. [5] Ogloblya O.V., Miroshnychenko M.S., Kosterin S.O. Computer modeling in biology. – K.: Azbuka, 2012. – 120 p. [6] Mangano S. Mathematica Cookbook. 1St ed. 3rd Indian Repr ed. Beijing etc: O'Reilly; 2011. [7] Wellin PR Gaylord RJ Kamin SN. An Introduction to Programming with Mathematica. Firts. ed. Cambridge: Cambridge University Press; 2013.

The total amount of 90 hours, including: Lectures - 14 hours. Practical classes - 30 hours. Independent work - 45 hours. Consultations - 1 hour.

The control is carried out according to the module-rating system, which consists of 2 content modules. The knowledge assessment system includes modular and semester knowledge control. Forms of control: evaluation of tests (2 tests of 30 points). The student can get a maximum of 60 points for tests and 40 points for the exam. The exam ticket includes 2 theoretical questions (10 points each) and a task (20 points).

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