Computer physics

Course: Applied Physics and Nanomaterials

Structural unit: Faculty of Radiophysics, Electronics and Computer Systems

Title
Computer physics
Code
ОК 11
Module type
Обов’язкова дисципліна для ОП
Educational cycle
Second
Year of study when the component is delivered
2021/2022
Semester/trimester when the component is delivered
3 Semester
Number of ECTS credits allocated
4
Learning outcomes
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; application of a sequence of random variables for modeling of physical phenomena and processes; the physical essence of the principle of analogies in modeling; the physical essence of the principle of hierarchy in modeling; stability assessment methods of the proposed model. 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; make preliminary meaningful assessments of the existence of a solution to the problem without solving it; evaluate the prospects and conditions for obtaining a single solution of the equation (system); evaluate the stability of the proposed model with respect to disturbances of the input parameters.
Form of study
Full-time form
Prerequisites and co-requisites
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".
Course content
Modeling deterministic and random processes and fields, stochastic structures, solving inverse, including incorrect, problems, choosing numerical methods and computing systems for solving various physical tasks When choosing application examples, emphasis is placed on modeling physical processes in heterogeneous environments. General principles and approaches to building models. Study of adequacy and stability of models.
Recommended or required reading and other learning resources/tools
1. 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. 2. Sven Erick Alm. Simple random walk http://www2.math.uu.se/~sea/kurser/stokprocmn1/slumpvandring_eng.pdf. 3. Michael Kozdron. Simulations of Random Processes https://uregina.ca/~kozdron/Simulations/index.html. 4. А. О. Пашко/за ред. М.Н. Зайка, Ю.В.Биця. – Київ: Вища школа , 1995. – С. 51 – 60. 5. R. H. Enns. Computer Algebra Recipes for Mathematical Physics. Birkhäuser, Boston, 2005, 401 p. 6. М. В. Кононов, А. В. Мисник, С. П. Радченко, О. О. Судаков Моделювання фізичних процесів Київський університет, Київ, 2006, 90с (Укр.) 7. M. O. Steinhauser Computer simulation in physics and engineering. Walter de Gruyter GmbH, Berlin, 2013, 532 p.
Planned learning activities and teaching methods
Lectures, independent work, laboratory work
Assessment methods and criteria
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
Language of instruction
Ukrainian

Lecturers

This discipline is taught by the following teachers

Sergiy P. Radchenko
Department of Medical Radiophysics
Faculty of Radiophysics, Electronics and Computer Systems
Sergey Mykolayovych Savenkov
Department of Electrophysics
Faculty of Radiophysics, Electronics and Computer Systems
Yevgen Anatoliyovych Oberemok
Department of Quantum Radio Physics and Nanoelectronics
Faculty of Radiophysics, Electronics and Computer Systems
Department of Electron Physics
Faculty of Radiophysics, Electronics and Computer Systems