Computer Modeling of Physical Processes

Description: The content is based on the study of methods for constructing mathematical models of physical phenomena, their qualitative analysis, the development of algorithms for solving equations that make up the essence of the phenomenon model, the principles of computer experiment and analysis of its results. Algorithms of computer analysis for modeling physics processes. Use of application software packages for computer analysis.

Amount of credits: 6

Пререквизиты:

• X-Ray Diffraction Analysis

Course Workload:

Component: University component

Cycle: Profiling disciplines

Goal

• The purpose of the discipline is to teach students the methods of mathematical modeling applied to the description of physical phenomena.

Objective

• - formation of a holistic view of the general principles of mathematical modeling; - mastering the methods of qualitative analysis, mathematical models; - formation of skills for conducting computer experiments in the framework of deterministic models of various types.

Learning outcome: knowledge and understanding

• - fundamentals of computer science and modern information technologies; - software tools; - databases, modeling and computer-aided design systems, Internet resources.

Learning outcome: applying knowledge and understanding

• - the essence and significance of information in the development of the modern information society, the dangers and threats that arise in this process.

Learning outcome: formation of judgments

• formation of a holistic view of the general principles of mathematical modeling.

Learning outcome: communicative abilities

• formation of skills for conducting computer experiments in the framework of deterministic models of various types.

Learning outcome: learning skills or learning abilities

• - mastering the methods of qualitative analysis, mathematical models.

Teaching methods

To successfully master the discipline, the following adaptive educational technologies can be used in teaching people with disabilities: - distance educational programs; - personality-oriented (for example, the use of an on - screen keyboard and alternative information input devices for undergraduates with musculoskeletal disorders; equipment of the classroom where undergraduates with hearing disorders are trained with computer equipment, audio equipment, video equipment, electronic whiteboard); - subject-oriented (the process of goal formation, i.e. goals are formed through their results, expressed in the actions of undergraduates); - conducting additional individual consultations and classes with undergraduates, organized to assist in the development of educational material.

Assessment of the student's knowledge

Teacher oversees various tasks related to ongoing assessment and determines students' current performance twice during each academic period. Ratings 1 and 2 are formulated based on the outcomes of this ongoing assessment. The student's learning achievements are assessed using a 100-point scale, and the final grades P1 and P2 are calculated as the average of their ongoing performance evaluations. The teacher evaluates the student's work throughout the academic period in alignment with the assignment submission schedule for the discipline. The assessment system may incorporate a mix of written and oral, group and individual formats.

The evaluating policy of learning outcomes by work type

Evaluation form

The student's final grade in the course is calculated on a 100 point grading scale, it includes:

• 40% of the examination result;
• 60% of current control result.

The final grade is calculated by the formula:

 

Where Midterm 1, Midterm 2are digital equivalents of the grades of Midterm 1 and 2;

E is a digital equivalent of the exam grade.

Final alphabetical grade and its equivalent in points:

The letter grading system for students' academic achievements, corresponding to the numerical equivalent on a four-point scale:

Topics of lectures

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Key reading

• 1. Каганов В.И. Радиотехника компьютер MathCad.. М.: Горячая линия - Телеком,2001, 416 2. Дьяконов В.П."Компьютерная математика. Теория и практика" М.: «Нолидж», 2000. - 1296 с. 3. Фомичев Н. И.. Программирование в пакете Mathcad. Методические указания для студентовфизического факультета. Яросл. гос. ун-т; Ярославль, 2001 4. О.А.Амосова, В.П.Григорьев, С.Б.Зайцева, Вычислительные методы с применением математического пакета Mathcad. Лабораторные работы, М.: МЭИ, - 2000.