Course detail
Computer Physics I
FSI-T1FAcad. year: 2022/2023
Individual solution of the physical tasks with utilisation of the
computer. As a mathematical tool the basic numerical methods (derivation,
integration, solution of the system of the equations, interpolation,
regression, solution of the 1st order differential equations) are used.
As a programming environment the students use the Excel, the MATLAB and
the MathCad.
Language of instruction
Number of ECTS credits
Mode of study
Guarantor
Department
Learning outcomes of the course unit
Prerequisites
Co-requisites
Planned learning activities and teaching methods
Assesment methods and criteria linked to learning outcomes
Course curriculum
Work placements
Aims
Specification of controlled education, way of implementation and compensation for absences
Recommended optional programme components
Prerequisites and corequisites
Basic literature
Gould, H. - Tobochnik, J.: An Introduction to Computer Simulation Methods. Part 1 and 2. Addison - Wesley Publishing Company, 1989.
Potter, F. - Peck, Ch.V.: Dynamic Models in Physics. Vol.1. Mechanics. N.Simonson Company, 1989.
Recommended reading
Dudek, P.: MathCad - příručka pro uživatele. Grada, 1992. (CS)
Maxfield, B.: Essential Mathcad for engineering, science and math. Academic Press, Amsterdam: Elsevier, 2009 (EN)
www semináře pro Matlab a Simulink. http://www.mathworks.com/academia (EN)
Zaplatílek,K. - Doňar,B.: MATLAB pro začátečníky. BEN - Technická literatura, 2003. (CS)
Classification of course in study plans
Type of course unit
Lecture
Teacher / Lecturer
Syllabus
- the physical base of solved exercises,
- the common context of the numerical methods and algorithms used for the solution,
- the programming methods, particularity and restrictions of the programming environment, used for the solution.
Computer-assisted exercise
Teacher / Lecturer
Syllabus
Features of the electronic spreadsheet Excel. Kinematics of the uniform acceleration motion. Building spreadsheet models.
Rates of change. Accuracy of the numerical differentiation.
Kinematics of nonuniform acceleration. Simple numerical integration.
Flow of the heat. Simpson's method of integration.
The Second law of the motion. Solving the differential equation by Euler's method and Runge-Kutta method.
Harmonic and nonharmonic oscillations.
Building of the physical models in programming environment Matlab and Simulink.
Motion in real environment with resistive forces. The damped and driven oscillatory motion.
Evaluation of the experimental results and writing measurement report in MathCAD.
Expressing and calculation of the statistics errors and confidence intervals.