Infopaket

Computer physics

ОК 12

Обов’язкова дисципліна для ОП

Second

2023/2024

2 Semester

3

The student should know the place and role of computer physics in the modern arsenal of scientific research methods, the relationship with theoretical and experimental physics; methods of modeling stochastic processes; the Monte Carlo method of modeling physical phenomena and processes; principles of building mathematical models; principles and approaches to model analysis; peculiarities of analysis of solutions of various types of mathematical models. The student must be able to master and find materials on the specified subject; choose a modeling method; evaluate the accuracy of modeling results; determine the necessary values of modeling parameters; evaluate the adequacy of the mathematical model; check dimensions; evaluate the stability of the obtained solution.

Full-time form

Successful study of the discipline "Computer Physics" requires successful completion of the following courses: "Physical Principles of Sensory Science", "Physics of Condensed Media", "Additional Sections of Physics", "Applied Physics and Electronics", "Optoelectronics and Fiber Optics", "Nanophysics" and nanotechnology", "Professional and corporate ethics".

When studying, students receive brief theoretical information about the modeling of deterministic and random processes and fields, stochastic structures, the choice of analytical and numerical methods for solving various modeling problems and will get acquainted with practical examples of modeling physical processes using the Monte Carlo method, methods of researching the stability of mathematical models, methods of analyzing solutions.

1. М. В. Кононов, А. В. Мисник, С. П. Радченко, О. О. Судаков. Моделювання фізичних процесів Київський університет, Київ, 2006, 90с (Укр.) 2. User's guide & Installation guide for the current GATE release https:// opengate.readthedocs.io/en/latest/ 01.09.2022 3. А. О. Пашко. Моделювання Гауссових стаціонарних випадкових процесів з неперервним спектром / Математичне та комп'ютерне моделювання. Серія: Фізико-математичні науки. 2019 Вип. 11, с. 184 – 195. 4. Sven Erick Alm. Simple random walk http://www2.math.uu.se/~sea/kurser/stokprocmn1/slumpvandring_eng.pdf. 5. B. A. Stickler, E. Schachinger Basic Concepts in Computational Physics. Springer, New York, 2014, 377 p. 6. J. Franklin J. Computational Methods for Physics. Cambridge University Press, 2013, 419 р.

Lectures, independent work, laboratory work

Semester evaluation: evaluation of results is provided: homework solutions (within independent work), answers to additional tasks of the lecture part (within independent work), preparation for laboratory work and performance results and their design, modular control works. Conditions for admission to credit: the student must score at least 30 points during the semester and complete all planned laboratory work. The final assessment is conducted in the form of a written assessment. The maximum score for correct completion of all tasks is 30 points. A condition for achieving a positive grade for a discipline is obtaining at least 60 points

Ukrainian